Data Entry Jobs in Saudi
6778 Jobs Found
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p><strong>Key Responsibilities</strong></p> <ul> <li>The AI Architect will identify and prioritise practical AI use cases, design dashboards and exception reporting models, and integrate data across SAP, Keyloop DMS, CRM, and HR systems.</li> <li>Developing AI-enabled workflows and agents for document processing, approvals, compliance checks, customer service, parts intelligence, and operational monitoring.</li> <li>A strong governance lens is essential, ensuring AI solutions incorporate controls for data privacy, cybersecurity, auditability, and PDPL compliance. The environment is data-complex, with fragmented systems and variable data quality, requiring disciplined integration, reconciliation, and pragmatic solution design.</li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>We are looking for individuals combining deep technical capability with strong commercial and operational understanding.</p> <ul> <li>Experience in automotive, retail, distribution, or similarly complex environments is highly desirable, particularly with SAP or automotive DMS platforms.</li> <li>You should have a proven record of delivering production AI, automation, or analytics solutions adopted by business users.</li> <li>Experience in enterprise automation, AI governance, or controlled AI deployment environments will be highly valued.</li> <li>Familiarity with automotive retail processes such as new and used vehicles, aftersales, warranty, parts, inventory, and OEM reporting is advantageous, alongside the ability to rapidly acquire domain expertise.</li> <li>You are equally effective in technical architecture discussions and executive stakeholder engagement, delivering scalable AI solutions embedded into day-to-day operations.</li> </ul><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>The Chief Database Geoscientist understands both database infrastructure / management as well as the exploration work flow. They adapt and customize procedures and the database structure in order to suit the needs of the exploration team. They are responsible for a team of database geoscientists who will support and maintain the integrity and quality of exploration data.</p>
<p><strong>Job requirements</strong></p>
<ul>
<li>Extensive knowledge of SQL and SQL Server Management Studio.</li>
<li>Extensive experience in Fusion, DataShed or Aquire.</li>
<li>Geological database experience at a major mining company or a medium-tier company with an extensive project portfolio.</li>
<li>Experience implementing a database system at a new site.</li>
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<ul>
<li>Focus on error prevention rather than error correction.</li>
<li>Detail oriented</li>
<li>Can readily recognize anomalous data</li>
<li>Ready to integrate exploration principles with data management</li>
<li>Knowledge in Python and any big data analytical tools will be added advantage</li>
<li>Skill in any Business inteligence visualisation tool (Power BI, Tableaue) will be added advantage.</li>
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<ul>
<li>Good leadership skills</li>
<li>Develops others</li>
<li>Multi-cultural experience</li>
<li>Strong communication skills</li>
<li>Open minded and able to accommodate the needs of the exploration team</li>
<li>Ready to share information and ability teach / coach others.</li>
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<li>Delegates effectively with understanding</li>
<li>Logical and organized</li>
<li>Follows up to ensure timely task completion and quality results</li>
</ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><br></p><p></p></section>
About the Role As a Senior Software Engineer with a Frontend/UI-UX specialty, you will define interaction architecture and deliver high-assurance, mission-critical digital platforms. Operating in an Agile environment, you'll solve complex usability challenges related to real-time data synchronization, cryptographic state visualization, and secure content handling. This role blends expert proficiency in design tooling (Figma) with robust front-end engineering (Vue.js, Type Script), combining UX ownership with production-level UI implementation. Responsibilities Architect user flows for applications requiring real-time state updates and low-latency user feedback Design unobtrusive visual indicators for data integrity, encryption status, and content protection layers Independently develop pixel-perfect, responsive components using Vue.js and Type Script Implement complex client-side logic for dynamic content rendering and secure data presentation Ensure seamless integration with RESTful APIs and real-time Web Sockets for live telemetry data Maintain and expand the internal Design System (icons, typography, atomic components) across web, mobile, and desktop Create high-fidelity interactive prototypes in Figma to validate complex workflows and state transitions Transform abstract security concepts (identity verification, data classification, regulatory compliance) into clear, human-readable interface elements Champion inclusive design, ensuring all interfaces strictly adhere to WCAG 2.1 AA standards Requirements Bachelor's or Master's degree in Computer Science, Design, Human-Computer Interaction (HCI), or a related field5+ years of professional experience in UI/UX design and front-end engineering Proven ability to architect, build, and deploy complex, stateful web applications (real-time dashboards, high-density data-processing interfaces) Clear track record of translating UX requirements into production-ready code within structured Agile/Scrum workflows Strong proficiency in HTML5, CSS3, and Type Script, including secure integration of RESTful APIs and Web Sockets Mandatory professional experience with the Vue.js ecosystem (Pinia, Vue Router) Expert proficiency in Figma (Auto Layout, Components, Prototyping) Comprehensive understanding of WCAG 2.1 AA guidelines and ARIA roles Proven ability to articulate and defend complex design decisions to engineering and product stakeholders in fluent English Desirable Certifications Google UX Design Professional Certificate Certified Professional in Accessibility Core Competencies (CPACC) UX Certification from Nielsen Norman Group (NN/g)
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About the job SAP SOLUTION ARCHITECT (Planning + Datasphere)
<p><strong>Job Description</strong></p><br>
<ul><li>We are seeking a highly skilled SAP Solution Architect specializing in Planning and</li><li>Datasphere to join our Retail track. The ideal candidate will be responsible for designing, implementing, and optimizing SAP solutions that support our retail operations, with a particular focus on planning processes and leveraging SAP Datasphere for advanced analytics and data integration.</li><li>This role requires a combination of deep technical expertise, strong business acumen, and the ability to lead cross-functional teams in a fast paced retail environment.</li></ul>
<p><strong>Key Responsibilities</strong></p><br>
<ul><li>Design end-to-end SAP solutions for retail planning, forecasting, and inventory management utilizing SAP Integrated Business Planning (IBP), SAP Datasphere, and related modules.</li><li>Lead the architecture and integration of SAP Datasphere for data warehousing, advanced analytics, and real-time data processing to support retail business needs.</li><li>Collaborate with business stakeholders to understand requirements and translate them into scalable, sustainable SAP solutions within the retail landscape.</li><li>Develop and maintain architecture blueprints, technical documentation, and solution roadmaps aligned with organizational goals.</li><li>Ensure seamless integration between SAP Planning solutions, Datasphere, and other retail systems (e.g., POS, ERP, CRM).</li><li>Provide technical leadership and guidance to project teams, ensuring best practices in SAP architecture, data modeling, and solution delivery.</li><li>Support change management, user training, and adoption strategies for new SAP functionalities in the retail domain.</li><li>Stay abreast of SAP releases, innovations, and retail industry trends to continuously enhance solution offerings.</li></ul>
<p><strong>Qualifications</strong></p><br>
<ul><li>Bachelor's or Master's degree in Computer Science, Information Systems, Business Administration, or related field.</li><li>8+ years of SAP experience, with at least 3 years as a Solution Architect in SAP</li><li>Planning (IBP/APO) and Datasphere (or SAP BW/4HANA, SAP Data Warehouse Cloud).</li><li>Proven experience delivering SAP solutions in the retail sector, with a solid understanding of retail planning, merchandising, and supply chain processes.</li><li>Strong expertise in SAP Datasphere architecture, data integration, and advanced analytics.</li><li>Hands-on experience with SAP S/4HANA, SAP Analytics Cloud, and integration tools (e.g., SAP CPI, PI/PO).</li><li>Excellent communication, stakeholder management, and leadership skills.</li><li>Ability to work independently and collaboratively within multidisciplinary project teams.</li><li>SAP certification(s) in relevant areas (IBP, Datasphere, S/4HANA) preferred.</li></ul>
<p>Vertical</p><br>
<p>Technology</p><br>
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<b>Years of experience</b>
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No experience required </div>
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Bachelor's degree / higher diploma </div>
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<p ><strong><span >ROLE PURPOSE</span></strong></p>
<p ><em><span >The aim is to state the overall significance of the job from the organization’s perspective.</span></em></p>
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<p ><span >To support the development of AI-enabled services and platforms by translating business needs into functional solutions, driving end-to-end product and service development, and enabling AI adoption within government platforms. The role bridges business, data, and technology to deliver scalable, impactful AI solutions aligned with digital transformation objectives.</span></p>
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<p ><strong><span >KEY ACCOUNTABILITIES & ACTIVITIES</span></strong></p>
<p ><em><span >This section describes <u>the principal outputs</u> required from the job.</span></em></p>
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<p ><strong><span >Key Accountabilities</span></strong></p>
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<p ><strong><span >Key Activities</span></strong></p>
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<li ><span >Business Analysis & Requirements Management</span></li>
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<ul >
<li ><span >Gather, analyze, and document business and functional requirements for AI-enabled services and platforms.</span></li>
<li ><span >Translate business needs into clear user stories, specifications, and solution requirements.</span></li>
<li ><span >Collaborate with stakeholders to validate requirements and ensure alignment with objectives.</span></li>
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<li ><span >Product & Service Development</span></li>
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<li ><span >Support the end-to-end development of AI-enabled products and services from concept to deployment.</span></li>
<li ><span >Define product features, scope, and priorities based on business value and user needs.</span></li>
<li ><span >Contribute to product roadmaps and continuous improvement initiatives.</span></li>
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<li ><span >AI Enablement & Use Case Development</span></li>
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<li ><span >Identify and support AI use cases within government platforms and digital initiatives.</span></li>
<li ><span >Work closely with data scientists and engineers to integrate AI capabilities into products.</span></li>
<li ><span >Ensure solutions are practical, scalable, and aligned with business outcomes.</span></li>
</ul>
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<li ><span >Data Analysis & Insights</span></li>
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<li ><span >Analyze data to generate insights that support product decisions and service optimization.</span></li>
<li ><span >Support performance monitoring and evaluation of AI-enabled services.</span></li>
<li ><span >Identify trends, opportunities, and improvement areas.</span></li>
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<li ><span >Stakeholder Management & Collaboration</span></li>
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<li ><span >Collaborate with business units, technical teams, and external stakeholders to ensure successful delivery.</span></li>
<li ><span >Facilitate communication between business and technical teams.</span></li>
<li ><span >Support alignment across cross-functional teams.</span></li>
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<li ><span >Digital Transformation Support</span></li>
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<li ><span >Contribute to digital transformation initiatives by enabling AI adoption within platforms and services.</span></li>
<li ><span >Support the development of government digital solutions aligned with strategic priorities.</span></li>
<li ><span >Assist in driving innovation through AI capabilities.</span></li>
</ul>
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<li ><span >Policies, Processes & Procedures</span></li>
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<li ><span >Follow all relevant departmental policies, processes, standard operating procedures and instructions so that work is carried out in a controlled and<strong> </strong>consistent manner</span></li>
<li ><span >Comply with all relevant safety, quality and environmental management policies, procedures and controls to ensure a healthy and safe work environment</span></li>
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<li ><span >Information Security</span></li>
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<li ><span >Comply with all relevant information Security practices and standards to ensure data integrity and confidentiality</span></li>
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Responsibilities<br>API Integration Management & Improvement Provide in depth knowledge of each product, usage and analysis to internal and external users Become an integral part of a dynamic team of developers in delivering complex data integration solutions utilizing both proprietary technologies and third party APIsAssist the Project Manager and Business Analyst in defining the strategy, solution, and evolution of data interchange between systems as new relationships are introduced and project needs evolve. Design, implement and test API integrations based on systems requirements Communicate risks, issues, challenges and status/progress of the project Document requirements, design, architecture, and test scripts Identify and suggest process and technology opportunities which will improve the business model, service offering to customers and drive internal efficiencies Assess gaps in current APIs performance and determine systematic solutions to drive growth and achieve operational effectiveness, implementing strategic change when needed to achieve business goals Provide direction to and communicates with developers on best practices as it pertains to integration standards, security, and performance with internal systems Performance day-to-day operations of business and systems processes, including the operation of process-related tools Ensure timely and successful delivery of product solutions, according to partner’s needs and objectives Create and maintain API documentation, reports and processes Monitor the health of the API integrations and data integrity and quality closely and do proactive and reactive activities to avoid business interruptions or issues.<br>Relationship Management Communicates product and detailed data specifications to vendors and partners Provides technical expertise and guidance to sales, and product teamsregarding data strategies to support partners and internal team Quality Control Creates, executes and verifies effective testing plans at the process and systemlevel Supports critical and highly complex partner integration initiatives, driving the development and implementation of an effective, consistent and repeatable partner development program Perform full system and data integrity testing with technology platforms Documenting test planning and cases<br>Relationships Management Facilitates and advocates issue resolution with technology partners Communicates product and detailed data specifications to clients and partners Build and maintain strong and long-lasting client relationships through structured stakeholder management plans and tracking Responsible for keeping current partners satisfied and delivering exceptional internal department and partners service on a day-to-day service Resolve all technical or data issues or business obstacles pending with partners Liaise between the partners and internal departments and teams<br>CRM System & Reporting Conduct weekly and month end reports for internal and external stakeholders and partners Prepare presentations for partners to improve the product and enhance their performance Maintain a stakeholder matrix and conduct gap analysis<br>SPAN OF COMMUNICATIONInternal: Business Development, Operations, Sales, Marketing, Finance External: Agencies, vendors, partners and suppliers<br>JOB RELEVANT INFORMATION (BOUNDARIES & DECISION- MAKING AUTHORITY) In accordance with job responsibilities and established delegation of authority<br>QUALIFICATIONS, EXPERIENCE, & SKILLSQualifications:Bachelor's degree in Engineering, or a technology degree MBA or Master’s Degree in relevant field an asset<br>Preferred Experience:2-4 years of experience completing business process design or operations<br>Job-Specific Skills:2-4 years of experience working hands-on with a variety of API integrations Knowledge of technical writing principles and practices Knowledge of API’s (REST) and the ability to understand JSON/XML files Self-starter, time management sensitive and excellent verbal and written communication Excellent MS word, excel and Power Point skills
About UsAbdul Latif Jameel United Finance Company is a closed joint stock company licensed by the Saudi Central Bank (SAMA) to operate in financial leasing, productive assets financing, consumer products financing, and real estate financing. We provide a wide range of financing options for individuals and SMEs, including cash financing, all types of cars, heavy equipment, household and electronic appliances, as well as real estate financing. Our offerings are delivered through various Shariah-compliant financial solutions such as financial leasing, Murabaha, and Tawarruq, accessible via our widespread branch network across the Kingdom. We are committed to supporting entrepreneurs through Bab Rizq Jameel Financing programs and strive to be the leading financing destination for small and medium enterprises.<br>Position Description Leading and optimizing the CS Identity and Access Management (IAM) and Data Protection with alignment of Cybersecurity regulatory frameworks to ensure robust governance over user identities and privileges and only authorized individuals have appropriate access to resources and data.<br>Key Accountabilities<br>Drive the development and implementation of comprehensive IAM strategies that enhance organizational security posture and ensure that access to resources and data is strictly regulated for authorized personnel. Oversee the establishment of advanced data protection controls to safeguard sensitive information from unauthorized access, ensuring compliance with internal standards and regulatory requirements. Provide directions and oversight for the IAM ana Data Protection related technologies, while empowering the administrative team to implement and manage the daily operations effectively. Lead the regular access rights reviews to ensure alignment with CS polices and compliance requirements, mitigating risks associated with identity management. Collaborate with different business units to ensure that IAM and data protection measures are within the overall required Cybersecurity frameworks. Oversee the governance and implementation of Privileged Access Management (PAM) to secure high-risk accounts and ensure stringent control over administrative access. Establish and track Key Performance Indicators (KPIs) and metrics to evaluate the effectiveness of IAM and data protection programs and support informed decision-making.<br>Key Activities:<br>Supervise the administrative team to implement IAM technologies effectively, providing guidance and support as needed. Collaborate with various business units to ensure the implementation of Authority Matrix is applied on the required applications. Lead the planning and execution of regular access rights reviews, ensuring they are conducted efficiently and comprehensively. Ensure all CS IAM and data protection initiatives are compliant with relevant laws and regulations. Consult and review CS IAM related policies ensuring the alignment with organizational requirements. Evaluate critical access requests based on a risk-driven approach. Ensure users activities and audit logs are aligned with security controls. Regularly evaluate data protection protocols to ensure compliance with internal policies and regulatory standards. Manage the implementation of PAM solutions to safeguard privileged credentials and monitor high-risk user sessions. Develop and report on relevant KPIs and security metrics to provide visibility into the health and compliance of identity and information security operations.<br>Qualifications:<br>Bachelor’s degree in Cybersecurity, Computer Science, or related field. Relevant professional certifications such as Certified Information Systems Security Professional (CISSP). IAM-specific certifications like Certified Identity and Access Manager (CIAM).<br>Work Experience:<br>Minimum 5 years’ experience in related field.
Intelie is an operational-AI software company best known for its flagship platform, Intelie LIVE®, which combines real-time analytics, predictive modeling, automation, and visual dashboards to help industrial operations transform system and sensor data into actionable insights. Used globally across sectors such as oil & gas, mining, logistics and food processing, the platform powers the operations of some of the world’s largest companies.<br>We are looking for an O&G Resident Engineer – AI Solutions to act as the bridge between advanced data/AI technologies and real-world operations in hydraulic Fracturing and Completions. This role combines deep field operational expertise with customer engagement and digital solution delivery, ensuring that AI-driven insights translate into measurable performance improvements in the field. You will work closely with customers in KSA (Dammam), partnering with engineering, operations, and technical teams to drive adoption, optimization, and continuous value delivery of Intelie’s real-time analytics platform.<br>Job Responsibilities<br>Customer Engagement & Value Delivery Serve as the primary technical advisor for clients, ensuring successful adoption of AI-powered solutions in frac and completions operations Build strong relationships with field engineers, ops managers, and technical stakeholders Translate customer challenges into data-driven use cases and solutions Drive measurable outcomes such as efficiency gains, cost reduction, and risk mitigation Operational SME (Frac & Completions) Apply hands-on expertise in hydraulic fracturing and completions to contextualize data insights Support configuration and tuning of analytics models based on operational realities Validate outputs and ensure alignment with field conditions, KPIs, and best practices Act as a trusted voice connecting domain knowledge with digital solutions AI & Digital Solution Enablement Support deployment and continuous improvement of AI-driven applications and real-time analytics Collaborate with product and data teams to refine models, alerts, and workflows Identify opportunities to expand use cases and increase platform footprint within accounts Provide feedback loops to enhance product capabilities and usability Field Integration & Change Management Facilitate adoption of new technologies within customer workflows and decision processes Train end users and promote best practices for data-driven operations Act as a change agent, helping teams transition from traditional monitoring to AI-assisted decision-making Continuous Improvement & Innovation Identify new business opportunities based on operational gaps and emerging needs Contribute to playbooks, use cases, and repeatable deployment strategies Support internal teams with field insights, market trends, and competitive intelligence<br>Education, Knowledge, Hard Skills & Abilities Domain Expertise Strong experience in hydraulic fracturing and completions operations (field or engineering roles) Proven ability in customer-facing roles (technical support, field engineering, consulting, or similar) Solid understanding of operational KPIs, workflows, and challenges in O&G Experience working with real-time data, monitoring systems, or digital oilfield technologies Strong communication skills with ability to translate technical concepts into business value Fluent English<br>Bonus Points<br>Arabic speaking is desirable Exposure to data analytics, AI/ML applications, or digital transformation initiatives Experience with Saa S platforms or industrial software solutions Background in production optimization, drilling analytics, or completions diagnostics Experience in cross-functional collaboration with product and engineering teams<br>Soft Skills Strong communication and stakeholder management Customer-centric mindset Problem-solving and critical thinking Ability to operate in multicultural environments High ownership and accountability Curiosity and continuous learning mindset
<h2 class="h5">Job description</h2>
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<p>SLSQ427R25</p><br><p>Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers in KSA rely on us to drive the accelerated innovation needed to stay ahead in today’s highly competitive landscape.</p><br><p>As we continue our rapid expansion in KSA, we are looking for a creative, execution-oriented Strategic Enterprise Hunter Account Executive to join our team and maximize the incredible market opportunity for Databricks in the region. Reporting to the Director of Enterprise Sales, you will be responsible for driving strategic growth and expanding our footprint across the region’s most critical enterprise accounts.</p><br><p><strong>The impact you will have:</strong></p><br><ul><li>Assess your list of assigned accounts and develop a strategy to execute against it</li><li>Build a customer base, identifying and closing new logo opportunities</li><li>Lead your customers and partners to identify impactful big data and AI use cases whilst proving out their value on the Databricks Lakehouse platform.</li><li>Identify land opportunities and develop the expand / consumption use cases.</li><li>Orchestrate and utilise internal teams to maximise the impact on your ecosystem.</li><li>Build exceptional value with all engagements to guide successful negotiations to close point</li></ul><p><strong>What we look for:</strong></p><br><ul><li>Proven experience selling SaaS solutions to Enterprise Customers</li><li>Extensive experience and strong performance in new logo hunting</li><li>Experience working in Big Data, Cloud, or SaaS industries with some technical sales experience</li><li>Successful experience selling complex software deals and quota over-achievement</li><li>Understanding of consumption based land and expand sales models is advantageous</li><li>Knowledge of the Data &amp; AI space with some technology sales experience</li><li>Evidence of creating demand that delivered substantial business value</li><li>Experience of following robust sales methodologies and process, e.g. account planning, MEDDPICC, Value Selling and accurate forecasting</li><li>Experience of building effective champions, collaborative teams and partnerships to support execution of your territory plan.</li><li>Understanding of how to identify all key uses cases and buying centres in an opportunity to increase the impact of Databricks in an organisation</li><li>Fluent Arabic and business English required</li></ul><p><strong>About Databricks</strong></p><br><p><span>Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on&nbsp;<span>Twitter,&nbsp;LinkedIn&nbsp;<span>and</span>&nbsp;Facebook</span>.<br><strong>Benefits<br></strong></span>At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.<br></p><br><p><strong>Our Commitment to Diversity and Inclusion</strong></p><br><p>At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.</p><br><p><strong>Compliance</strong></p><br><p><strong><span>If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</span></strong></p><br><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5">
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No experience required </div>
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<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>The Senior Consultant will lead the end to end deployment of an enterprise level Project Management Information System (PMIS) to support a structured, governance driven project delivery environment. The role ensures that governance frameworks, workflows, data structures, templates, KPIs, and reporting requirements are accurately translated into a fully configured and operational PMIS ecosystem. The position acts as the strategic and technical integrator between governance design, technology architecture, system vendors, and project delivery teams, ensuring the PMIS becomes the single source of truth for project and programme management. Key Responsibilities: A. PMIS Strategy, Planning & Governance Alignment Build governance frameworks including workflows, RASCI, Delegation of Authority (DoA), stage gates, templates, KPIs, and reporting structures. Develop the PMIS implementation roadmap, including phasing, sequencing, data migration, integration, testing, and rollout. Implement the PMIS as per the client s governance requirements Support the definition of the digital ecosystem architecture, including workflow automation, document management, data management, analytics, and system integration. B. System Configuration & Functional Implementation Lead configuration of PMIS modules such as: Project Controls Cost Management Schedule Management Risk & Issues Change Management Procurement & Contract Management Document Control / CDE Reporting & Dashboards Ensure workflows reflect DoA thresholds, approval routing, escalation logic, and stage gate checkpoints. Oversee the creation and digital enablement of governed templates, structured data fields, validation rules, and SOPs. C. Data, Integration & Digital Ecosystem Management Define and manage system integrations with other enterprise systems. Lead data migration activities including mapping, cleansing, validation, and lineage tracking. Ensure full forward and reverse traceability from data fields KPIs dashboards executive reporting. D. Stakeholder Engagement & Change Management Act as the primary liaison between PMO teams, system vendors, consultants, and delivery partners. Lead requirements gathering, solution design workshops, and validation sessions. Develop and execute a structured change management plan covering communication, adoption, and training. Ensure training programmes, user manuals, and onboarding materials are delivered effectively. E. Quality Assurance, Testing & Deployment Lead system testing cycles and ensure timely resolution of defects. Validate that all workflows, templates, KPIs, and dashboards function as defined in governance documentation. Oversee pilot rollout, phased activation, and full enterprise deployment. Establish post go live support, hypercare, and continuous improvement processes. F. Reporting & Performance Management Ensure dashboards and reports are configured in alignment with the KPI and reporting catalogue. Validate that all KPIs are derived exclusively from governed data sources. Monitor system performance, user adoption, and compliance with governance processes.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>10+ years of experience implementing PMIS solutions for capital projects or large programmes. Proven experience with platforms such as Oracle Primavera Unifier, PMWeb, Aconex, Procore, InEight, EcoSys, or similar. Strong background in project controls, governance frameworks, workflow design, and enterprise PMO operations. Experience working in the GCC region is highly advantageous. Technical Skills Expertise in workflow automation, structured templates, and KPI frameworks. Strong understanding of integration architecture (API, ETL, middleware). Experience with document control and CDE environments. Familiarity with BIM enabled workflows is an advantage. Soft Skills Excellent communication and stakeholder management abilities. Strong analytical and problem solving skills. Ability to lead cross functional teams and manage vendor performance. High adaptability in complex, multi stakeholder environments. Strong documentation and presentation skills.</p><p></p></section>
Congratulations, you have taken the first step towards bagging a career-defining role. Join our team of superheroes that safeguard data wherever it goes.<br>About Seclore:Seclore is home to innovators, risk-takers, and problem solvers redefining data security.<br>We help the world’s leading enterprises share data fearlessly. Our data-centric approach to cybersecurity protects and controls information wherever it travels—inside or outside the organization. Enterprises choose Seclore to prevent data theft, safeguard critical digital assets, and stay compliant without sacrificing collaboration or productivity. We are embarking on an exciting and inspiring journey to expand our product footprint and grow our addressable market leveraging new capabilities offered by Gen AI. Know more about us at www.seclore.com<br>You would love our tribe:If you are a risk-taker, innovator, and fearless problem solver who loves solving challenges of data security, then this is the place for you!<br>A sneak peek into the role:This position is for self-motivated and highly energetic individuals who can think of multiple solutions for a given problem and help in decision-making while working in a super‑agile environment.<br>Here's what you will get to explore:Act as the primary point of contact by providing technical support to enterprise customers while being stationed at the customer location. Handle real‑time email or voice call queries and respond in a timely manner. Advocate for the customer by ensuring their concerns and issues are addressed effectively. Achieve a strong understanding of Seclore products and develop expertise in their functionality. Apply knowledge, experience, and analytical skills to diagnose and resolve issues in unique and complex customer environments. Strive to provide resolutions on the first interaction with the customer. Manage multiple cases simultaneously, addressing varying degrees of severity. Effectively communicate procedural and technical issues to internal teams, customers, and stakeholders. Prioritize and manage the schedule of cases, determine their priority level, and set expectations with customers. Assess the need to escalate cases to the appropriate resources for handling complex issues or situations. Engage with internal teams to prioritize and address customer requests efficiently. Conduct research on operating systems, infrastructure technologies, and Seclore products as required. Participate in new product releases, ensuring that all necessary training and information requirements are met to provide support for the new release. Engage in ongoing training, self‑learning, and functional/organizational development. Create and update documentation and support knowledge bases to reduce troubleshooting time and drive faster resolutions. Collaborate with internal and customer teams with diverse expertise to enhance the overall support experience.<br>We can see the next Entrepreneur At Seclore if you:Have BE / B. Tech / MCA / PGDST qualification from reputed institutes Are tech‑agnostic, think innovatively and take calculated risk Have experience and skills in requirement analysis and impact assessment Have experience and skills in designing systems, components and modules Have experience and skills in technology evaluation and decision Have experience in mentoring team members for technical skills Have experience in guiding team for technical needs Have attitude, perseverance, innovation, and curiosity to meet and overcome challenges Have working proficiency and communication skills in verbal and written English<br>Let’s build the future of data security at Seclore together.
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>About the Role We are seeking a highly skilled Senior AI Engineer (Arabic Speaker) to join our growing AI and Data Science team in Riyadh. The ideal candidate will have strong expertise in Artificial Intelligence, Generative AI, Machine Learning Operations (MLOps), and Cloud-based AI Platforms , with proven experience in designing, developing, deploying, and managing enterprise-grade AI solutions. The successful candidate will play a key role in building scalable AI systems, implementing GenAI applications, operationalizing machine learning models, and collaborating with business stakeholders to deliver innovative AI-driven solutions that create measurable business impact. Key Responsibilities AI & Machine Learning Development Design, develop, train, and deploy machine learning and deep learning models for enterprise use cases. Build and optimize predictive analytics, NLP, recommendation systems, and intelligent automation solutions. Develop AI-powered applications leveraging Large Language Models (LLMs) and Generative AI technologies. Fine-tune foundation models and implement Retrieval-Augmented Generation (RAG) architectures. Evaluate and benchmark AI models to ensure performance, scalability, and reliability. Generative AI Engineering Design and implement enterprise GenAI solutions using OpenAI, Azure OpenAI, Claude, Gemini, Llama, Mistral, and other LLM platforms. Develop conversational AI solutions, intelligent assistants, and knowledge management systems. Build prompt engineering frameworks and optimize prompts for business use cases. Implement vector databases and semantic search solutions. Develop AI agents and autonomous workflows using modern AI orchestration frameworks. MLOps & AI Operations Design and implement end-to-end MLOps pipelines for model training, deployment, monitoring, and lifecycle management. Automate model deployment using CI/CD pipelines and infrastructure-as-code practices. Monitor model performance, drift detection, retraining strategies, and operational KPIs. Establish AI governance, model versioning, reproducibility, and compliance standards. Implement scalable AI platforms supporting multiple business units. Cloud & Platform Engineering Deploy AI/ML workloads on cloud platforms such as Azure, AWS, GCP, or OCI. Manage containerized AI environments using Docker and Kubernetes. Design scalable AI infrastructure supporting high-volume enterprise workloads. Optimize cloud resources, performance, and operational costs. Data Engineering & Integration Collaborate with data engineering teams to build AI-ready data pipelines. Integrate AI solutions with enterprise applications, APIs, databases, and business platforms. Ensure data quality, security, privacy, and compliance with organizational standards. Stakeholder Management Engage with business stakeholders to identify AI opportunities and translate business requirements into technical solutions. Present AI solution architectures, recommendations, and project outcomes to technical and non-technical audiences. Mentor junior AI engineers, data scientists, and platform engineers. Required Technical Skills Artificial Intelligence & Machine Learning Machine Learning Deep Learning Natural Language Processing (NLP) Predictive Analytics Computer Vision (preferred) Reinforcement Learning (preferred) Generative AI Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Prompt Engineering AI Agents & Multi-Agent Systems Fine-Tuning and Model Optimization Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS) LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen MLOps MLflow Kubeflow Airflow Model Monitoring & Observability CI/CD for ML Feature Stores Model Registry Experiment Tracking Model Governance Cloud Platforms Microsoft Azure AWS Google Cloud Platform (GCP) Oracle Cloud Infrastructure (OCI) Preferred Containers & DevOps Docker Kubernetes Git GitHub Actions Jenkins Terraform Infrastructure as Code Programming Languages Python (Mandatory) SQL Bash/Shell Scripting Java or C# (Preferred) Qualifications Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline. Master's Degree in AI, Machine Learning, Data Science, or related field is highly preferred. Experience Requirements 6 8 years of experience in AI/ML Engineering, Data Science, or AI Platform Engineering. Minimum 3+ years of hands-on experience implementing Generative AI solutions. Proven experience building and operationalizing machine learning models in production environments. Strong experience implementing enterprise MLOps frameworks and practices. Experience working with cloud-native AI services and modern AI platforms. Preferred Certifications Microsoft Azure AI Engineer Associate AWS Machine Learning Specialty Google Professional Machine Learning Engineer OCI AI Foundations Associate Kubernetes Certifications (CKA/CKAD) Databricks Machine Learning Professional Soft Skills Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. Ability to work effectively in cross-functional and multicultural environments. Strong ownership, accountability, and leadership mindset. Passion for innovation and continuous learning. Ability to communicate fluently in both Arabic and English. Mandatory Requirements Native or Fluent Arabic Speaker. 6 8 years of relevant AI/ML engineering experience. Hands-on expertise in Generative AI and MLOps. Strong Python programming skills. Experience deploying AI solutions in enterprise production environments. Willingness to work onsite in Riyadh, Saudi Arabia.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline. Master's Degree in AI, Machine Learning, Data Science, or related field is highly preferred.</p><p>6 - 8 years of experience in AI/ML Engineering, Data Science, or AI Platform Engineering.</p><p>Minimum 3+ years of hands-on experience implementing Generative AI solutions.</p><p>Proven experience building and operationalizing machine learning models in production environments.</p><p>Strong experience implementing enterprise MLOps frameworks and practices.</p><p>Experience working with cloud-native AI services and modern AI platforms.</p><p>Native or Fluent Arabic Speaker.</p><p>Strong Python programming skills.</p><p>Experience deploying AI solutions in enterprise production environments.</p><p>Willingness to work onsite in Riyadh, Saudi Arabia.</p><p>Strong analytical and problem-solving skills.</p><p>Excellent communication and stakeholder management abilities.</p><p>Ability to work effectively in cross-functional and multicultural environments.</p><p>Strong ownership, accountability, and leadership mindset.</p><p>Passion for innovation and continuous learning.</p><p>Ability to communicate fluently in both Arabic and English.</p><p></p></section>
Overall Purpose of the Job To support the delivery of UoM – Dubai's Careers, Alumni, Employer and Community Engagement activities by coordinating programmes, events, communications, stakeholder engagement activities, surveys, and data management processes across the student lifecycle. The post holder will support student engagement, career development activities, alumni engagement initiatives, employer relations activities, mentoring programmes, community engagement initiatives, and institutional events, while ensuring accurate data capture and reporting within institutional systems.<br>Key Responsibilities1. Student Engagement & Career Services· Coordinate onboarding career activities and student engagement initiatives.· Schedule and coordinate career coaching clinics, appointments, and follow-up activities.· Organise career workshops, webinars, masterclasses, networking sessions, and employer engagement activities.· Support the delivery of career readiness initiatives, including CV reviews, Linked In optimisation, interview preparation, and career development sessions.· Promote career services, opportunities, events, and resources to students.· Maintain records of student participation and engagement activities.· Track attendance and engagement across career development activities.· Assist with the distribution and collection of student surveys and feedback.· Advise and support students throughout their Live Business Projects (LBP) and Live Capstone Projects (LCP) <br>2. Alumni Engagement & Student-Alumni Integration· Coordinate Alumni Buddy, Mentor Me, and other alumni engagement programmes.· Support alumni networking events, webinars, guest speaker sessions, and engagement campaigns.· Assist with alumni ambassador and regional alumni chapter activities.· Maintain alumni contact records and engagement data.· Coordinate communications with alumni through approved channels and platforms.· Record and track alumni participation as mentors, speakers, advisors, volunteers, employers, and ambassadors.· Support initiatives that strengthen student-alumni connections throughout the student lifecycle.<br>3. Employer & Industry Engagement· Maintain employer, industry partner, and stakeholder databases.· Coordinate employer visits, guest lectures, industry panels, company presentations, and networking activities.· Promote employment, project, mentoring, and career development opportunities to students and alumni.· Support employer engagement campaigns and communications.· Assist with the administration of employer surveys and feedback activities.· Record employer interactions and engagement activities within institutional systems.· Support the coordination of talent pipeline and employer partnership initiatives.<br>4. Community Engagement & Social Responsibility· Coordinate volunteering, social responsibility, and community engagement activities.· Support the organization of masterclasses, workshops, community events, and outreach initiatives.· Assist with participant registration, attendance tracking, and communications.· Maintain records relating to volunteering hours, participation, and community impact activities.<br>5. Events Coordination· Coordinate the planning and delivery of careers, alumni, employer, community, and networking events.· Manage event registrations, invitations, attendance tracking, and post-event communications.· Liaise with internal and external stakeholders regarding event logistics.· Coordinate venue bookings, suppliers, speakers, and event materials where required.· Collect and compile event feedback and participation data.<br>6. Data Management & Reporting· Maintain accurate student, alumni, employer, and stakeholder records within Educore and other institutional systems.· Update engagement records, communication logs, attendance records, and activity data.· Manage Graduate Destination Survey (GDS+) data collection activities.· Assist with data validation and record maintenance.· Prepare routine reports relating to participation, engagement, attendance, and stakeholder activities.· Ensure compliance with institutional data management and confidentiality requirements.<br>7. Communications & Marketing Support· Prepare and distribute communications to students, alumni, employers, and partners.· Support newsletters, promotional campaigns, event communications, and social media activities.· Manage the preparation of success stories, testimonials, case studies, and impact reports.· Support communication activities related to careers, alumni, employer, and community engagement initiatives.<br>General Responsibilities· Build and maintain positive working relationships with students, alumni, employers, academic colleagues, and external stakeholders.· Represent UoM – Dubai at events, exhibitions, networking activities, and community initiatives when required.· Work collaboratively with colleagues across departments to support institutional objectives.· Support special projects and initiatives as required.· Occasionally work evenings or weekends to support events and engagement activities.· Undertake any other duties appropriate to the grade and responsibilities of the post.· Support special projects for the University of Manchester – Dubai.· Occasionally travel to attend events, exhibitions and related meetings and trainings within the Middle East region and overseas Essential Knowledge, Skills & Experience Qualifications Bachelor's degree or equivalent professional qualification<br>Experience· Experience in Higher Education, Student Services, Careers Services, Alumni Relations, Employer Engagement, Events Management, Marketing, or a related field.· Experience coordinating events, projects, or stakeholder engagement activities.· Experience maintaining databases, records, or CRM systems.· Skills & Competencies· Excellent interpersonal and communication skills.· Strong organisational and administrative skills.· Ability to coordinate multiple activities and meet deadlines.· Strong attention to detail and data accuracy.· Ability to build positive relationships with a diverse range of stakeholders.· Good report preparation and data management skills.· Proficiency in Microsoft Office applications and CRM/database systems.· Ability to work independently and as part of a team.· Professional, customer-focused, and service-oriented ap<br>Desire Knowledge, Skills & Experience· Experience within the Higher Education sector.· Experience supporting alumni relations, careers services, or employer engagement activities.· Experience using student management systems, CRM platforms, or engagement management systems.· Experience supporting mentoring, volunteering, or community engagement programmes.· Knowledge of graduate employability, alumni engagement, or stakeholder relationship management.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a SQL Developer based in Saudi Arabia.<br><br>As a SQL Developer, you will play a key role in implementing and supporting data-driven reporting solutions for clients across different environments. You will combine technical expertise in SQL, databases, and business intelligence with strong communication skills to understand requirements and deliver effective solutions. Working directly with stakeholders, you will investigate data structures, develop SQL-based solutions, and ensure seamless integration between systems. This client-facing position offers the opportunity to work on diverse projects, solve complex technical challenges, and take ownership of implementations from start to finish. You will collaborate with both technical and non-technical teams in a dynamic environment where problem-solving and continuous improvement are highly valued. The role provides a balance of development, consulting, implementation, and user support responsibilities.<br><br>Accountabilities<br><br>As a SQL Developer, you will be responsible for delivering database solutions, supporting software implementations, and helping clients maximize the value of their reporting environments. You will work closely with stakeholders to translate business needs into reliable technical solutions while ensuring system performance and usability.<br><br>Engage directly with clients, managers, and stakeholders to understand reporting needs and business requirements. Translate business requirements into effective SQL-based solutions and reporting configurations. Connect remotely to client environments to install, configure, maintain, and support reporting software. Investigate client systems to identify relevant data sources across different platforms. Extract, analyze, and interpret data from databases and business applications. Review existing database structures, relationships, and data flows to support implementation projects. Develop and maintain SQL objects, including views, stored procedures, functions, and tables. Apply database fixes, updates, and performance improvements within SQL Server environments. Troubleshoot database, connectivity, and networking-related issues. Work with Windows Server environments and collaborate with client IT teams when required. Deliver training sessions and guidance to users to ensure effective software adoption. Provide ongoing post-implementation support and take ownership of projects from setup through completion.<br><br>Requirements<br><br>The ideal candidate has strong SQL development experience, a practical approach to problem-solving, and the ability to communicate effectively with both technical teams and business stakeholders.<br><br>Strong professional experience with Microsoft SQL Server. Advanced SQL querying skills, including joins, aggregations, subqueries, and troubleshooting. Experience creating and managing SQL views, stored procedures, functions, and database objects. Solid understanding of relational database concepts and data structures. Experience working within Windows Server environments. Good knowledge of networking fundamentals, including permissions, ports, firewalls, and DNS. Experience remotely accessing and supporting client infrastructure. Ability to analyze complex technical issues and develop practical solutions. Strong communication skills with confidence working directly with non-technical stakeholders. Ability to work independently, manage priorities, and take ownership of projects. Self-motivated, organized, detail-oriented, and methodical when troubleshooting.<br><br>Additional experience in the following areas is considered an advantage:<br><br>Understanding of bookkeeping principles and financial structures such as nominal ledger, trial balance, and sales/purchase ledgers. Experience working with financial accounting systems or ERP platforms. Experience deploying or supporting applications through IIS. Knowledge of APIs, application integrations, and JSON-based environments. Exposure to other SQL dialects such as MySQL or Postgre SQL. Experience with additional database management systems. Familiarity with C# development.<br><br>Benefits<br><br>Opportunity to work on diverse client projects involving data, reporting, and business intelligence solutions. Client-facing role with strong ownership and visibility across implementation projects. Flexible remote working environment. Opportunity to develop expertise across databases, integrations, and reporting technologies. Continuous learning opportunities while working with modern technical solutions. Collaborative environment combining technical challenges with practical business impact.<br><br>How Jobgether Works<br><br>We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.<br><br>We appreciate your interest and wish you the best!<br><br> Why Apply Through Jobgether?<br><br>Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>We are seeking a highly skilled Senior AI Engineer (Arabic Speaker) to join our growing AI and Data Science team in Riyadh. The ideal candidate will have strong expertise in Artificial Intelligence, Generative AI, Machine Learning Operations (MLOps), and Cloud-based AI Platforms , with proven experience in designing, developing, deploying, and managing enterprise-grade AI solutions. The successful candidate will play a key role in building scalable AI systems, implementing GenAI applications, operationalizing machine learning models, and collaborating with business stakeholders to deliver innovative AI-driven solutions that create measurable business impact.</p><p>Key Responsibilities</p><p>AI & Machine Learning Development</p><ul><li>Design, develop, train, and deploy machine learning and deep learning models for enterprise use cases.</li><li>Build and optimize predictive analytics, NLP, recommendation systems, and intelligent automation solutions.</li><li>Develop AI-powered applications leveraging Large Language Models (LLMs) and Generative AI technologies.</li><li>Fine-tune foundation models and implement Retrieval-Augmented Generation (RAG) architectures.</li><li>Evaluate and benchmark AI models to ensure performance, scalability, and reliability.</li></ul><p>Generative AI Engineering</p><ul><li>Design and implement enterprise GenAI solutions using OpenAI, Azure OpenAI, Claude, Gemini, Llama, Mistral, and other LLM platforms.</li><li>Develop conversational AI solutions, intelligent assistants, and knowledge management systems.</li><li>Build prompt engineering frameworks and optimize prompts for business use cases.</li><li>Implement vector databases and semantic search solutions.</li><li>Develop AI agents and autonomous workflows using modern AI orchestration frameworks.</li></ul><p>MLOps & AI Operations</p><ul><li>Design and implement end-to-end MLOps pipelines for model training, deployment, monitoring, and lifecycle management.</li><li>Automate model deployment using CI/CD pipelines and infrastructure-as-code practices.</li><li>Monitor model performance, drift detection, retraining strategies, and operational KPIs.</li><li>Establish AI governance, model versioning, reproducibility, and compliance standards.</li><li>Implement scalable AI platforms supporting multiple business units.</li></ul><p>Cloud & Platform Engineering</p><ul><li>Deploy AI/ML workloads on cloud platforms such as Azure, AWS, GCP, or OCI.</li><li>Manage containerized AI environments using Docker and Kubernetes.</li><li>Design scalable AI infrastructure supporting high-volume enterprise workloads.</li><li>Optimize cloud resources, performance, and operational costs.</li></ul><p>Data Engineering & Integration</p><ul><li>Collaborate with data engineering teams to build AI-ready data pipelines.</li><li>Integrate AI solutions with enterprise applications, APIs, databases, and business platforms.</li><li>Ensure data quality, security, privacy, and compliance with organizational standards.</li></ul><p>Stakeholder Management</p><ul><li>Engage with business stakeholders to identify AI opportunities and translate business requirements into technical solutions.</li><li>Present AI solution architectures, recommendations, and project outcomes to technical and non-technical audiences.</li><li>Mentor junior AI engineers, data scientists, and platform engineers.</li></ul><p>Required Technical Skills</p><p>Artificial Intelligence & Machine Learning</p><ul><li>Machine Learning</li><li>Deep Learning</li><li>Natural Language Processing (NLP)</li><li>Predictive Analytics</li><li>Computer Vision (preferred)</li><li>Reinforcement Learning (preferred)</li><li>Generative AI</li><li>Large Language Models (LLMs)</li><li>Retrieval-Augmented Generation (RAG)</li><li>Prompt Engineering</li><li>AI Agents & Multi-Agent Systems</li><li>Fine-Tuning and Model Optimization</li><li>Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS)</li><li>LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen</li></ul><p>MLOps</p><ul><li>MLflow</li><li>Kubeflow</li><li>Airflow</li><li>Model Monitoring & Observability</li><li>CI/CD for ML</li><li>Feature Stores</li><li>Model Registry</li><li>Experiment Tracking</li><li>Model Governance</li></ul><p>Cloud Platforms</p><ul><li>Microsoft Azure</li><li>AWS</li><li>Google Cloud Platform (GCP)</li><li>Oracle Cloud Infrastructure (OCI)</li></ul><p>Preferred</p><p>Containers & DevOps</p><ul><li>Docker</li><li>Kubernetes</li><li>Git</li><li>GitHub Actions</li><li>Jenkins</li><li>Terraform</li><li>Infrastructure as Code</li></ul><p>Programming Languages</p><ul><li>Python (Mandatory)</li><li>SQL</li><li>Bash/Shell Scripting</li><li>Java or C# (Preferred)</li></ul><p>Qualifications</p><p>Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline.</p><p>Master's Degree in AI, Machine Learning, Data Science, or related field is highly preferred.</p><p>Experience Requirements</p><ul><li>6 – 8 years of experience in AI/ML Engineering, Data Science, or AI Platform Engineering.</li><li>Minimum 3+ years of hands-on experience implementing Generative AI solutions.</li><li>Proven experience building and operationalizing machine learning models in production environments.</li><li>Strong experience implementing enterprise MLOps frameworks and practices.</li><li>Experience working with cloud-native AI services and modern AI platforms.</li></ul><p>Preferred Certifications</p><ul><li>Microsoft Azure AI Engineer Associate</li><li>AWS Machine Learning Specialty</li><li>Google Professional Machine Learning Engineer</li><li>OCI AI Foundations Associate</li><li>Kubernetes Certifications (CKA/CKAD)</li><li>Databricks Machine Learning Professional</li></ul><p>Soft Skills</p><ul><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and stakeholder management abilities.</li><li>Ability to work effectively in cross-functional and multicultural environments.</li><li>Strong ownership, accountability, and leadership mindset.</li><li>Passion for innovation and continuous learning.</li><li>Ability to communicate fluently in both Arabic and English.</li></ul><p>Mandatory Requirements</p><ul><li>Native or Fluent Arabic Speaker.</li><li>6 – 8 years of relevant AI/ML engineering experience.</li><li>Hands-on expertise in Generative AI and MLOps.</li><li>Strong Python programming skills.</li><li>Experience deploying AI solutions in enterprise production environments.</li><li>Willingness to work onsite in Riyadh, Saudi Arabia.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline.</li><li>Master's Degree in AI, Machine Learning, Data Science, or related field is highly preferred.</li><li>6 – 8 years of experience in AI/ML Engineering, Data Science, or AI Platform Engineering.</li><li>Minimum 3+ years of hands-on experience implementing Generative AI solutions.</li><li>Proven experience building and operationalizing machine learning models in production environments.</li><li>Strong experience implementing enterprise MLOps frameworks and practices.</li><li>Experience working with cloud-native AI services and modern AI platforms.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and stakeholder management abilities.</li><li>Ability to work effectively in cross-functional and multicultural environments.</li><li>Strong ownership, accountability, and leadership mindset.</li><li>Passion for innovation and continuous learning.</li><li>Ability to communicate fluently in both Arabic and English.</li><li>Native or Fluent Arabic Speaker.</li><li>Hands-on expertise in Generative AI and MLOps.</li><li>Strong Python programming skills.</li><li>Experience deploying AI solutions in enterprise production environments.</li><li>Willingness to work onsite in Riyadh, Saudi Arabia.</li></ul><p></p></section>
About Fly Akeed:<br><br>Fly Akeed is a leading online platform dedicated to simplifying the travel booking process for flights and hotels. Established in 2017 and headquartered in Riyadh, Saudi Arabia, we are committed to delivering an exceptional travel experience for our clients.<br><br>Highlights:<br><br>Current funding stage: Series A<br><br>Supported by: PIF subsidiary Sanabil Investments, Elm, Artal Capital, Alrajhi Partners.<br><br>Role Definition<br><br>A Go-To-Market (GTM) Engineer is a hybrid technical and revenue-focused role that bridges Sales, Marketing, Growth, Revenue Operations, and Engineering. The role is responsible for designing, building, integrating, and automating the technical infrastructure that powers the buyer journey, from lead generation and data enrichment to AI-powered personalization, lead routing, pipeline management, and performance reporting.<br><br>The GTM Engineer translates business requirements and growth strategies into scalable technical workflows that reduce manual work, improve data quality, accelerate sales execution, and drive repeatable revenue growth.<br><br>Role Overview<br><br>We are looking for a highly technical and business-minded GTM Engineer to join Fly Akeed's Growth team in Riyadh. This role sits at the intersection of revenue strategy, data, automation, and systems architecture. You will be responsible for building and optimizing the technical engine behind Fly Akeed's go-to-market operations, including CRM workflows, enrichment systems, outbound campaigns, AI-driven personalization, lead scoring, reporting dashboards, and integrations across the sales and marketing tech stack.<br><br>The ideal candidate is comfortable working with both commercial teams and technical tools. You should be able to understand sales and marketing needs, convert them into automated workflows, and continuously improve the systems that help Fly Akeed scale its revenue engine across Saudi Arabia and the GCC.<br><br>Key Responsibilities:<br><br> GTM Systems & Architecture<br><br>Design, build, integrate, and maintain Fly Akeed's GTM tech stack across CRM, marketing automation, outbound, enrichment, analytics, and sales productivity tools Ensure seamless data flow between systems such as Hub Spot, Clay, n8n, Make, Smartlead, Lemlist, analytics tools, and other revenue platforms Translate business requirements from Sales, Marketing, Growth, and Rev Ops teams into scalable technical workflowsdentify system gaps, workflow inefficiencies, and manual processes that can be automated or improved<br><br>Workflow Automation<br><br>Build and deploy automated workflows for lead capture, enrichment, scoring, qualification, routing, follow-up, and lifecycle management Create automation logic to assign high-priority leads or accounts to the right sales team members in a timely and accurate manner Automate repetitive sales and marketing operations to improve team productivity and execution speed Maintain documentation of GTM workflows, system logic, and automation rules<br><br>Lead Generation & Outbound Operations<br><br>Build and manage prospecting systems using tools such as Clay, Linked In Sales Navigator, enrichment platforms, and outbound sequencing tools Support outbound campaign execution, including list building, segmentation, personalization workflows, sequencing, and performance tracking Improve account prioritization, lead qualification, and campaign targeting based on data and market signals Collaborate with Sales and Marketing teams to improve lead quality and conversion rates<br><br>AI Implementation & Personalization<br><br>Design and implement AI-powered workflows to support account research, lead qualification, personalized outreach, sales enablement, and next-best-action recommendations Configure AI and LLM-based tools to generate relevant company insights, prospect summaries, personalized messaging, and campaign support Continuously test AI use cases that improve GTM efficiency, personalization, and sales productivity<br><br> Data Management & CRM Operations<br><br>Own CRM data hygiene, segmentation, deduplication, enrichment, validation rules, and lifecycle stage management Ensure clean and reliable data across GTM systems to support accurate reporting and decision-making Manage lead source tracking, UTM tracking, form capture, field mapping, and campaign attribution Support data governance and improve consistency across sales and marketing operations<br><br>Analytics, Reporting & Experimentation<br><br>Build dashboards and reports to track pipeline health, campaign performance, funnel conversion, lead quality, sales productivity, and revenue impact Monitor GTM performance and identify opportunities to improve conversion rates across the buyer journey Run experiments across outbound, lead scoring, personalization, routing, and campaign workflows Provide insights and recommendations to support better GTM decision-making<br><br>Benefits<br><br>Minimum 3 years of hands-on experience in GTM Engineering, Revenue Operations, Marketing Operations, Sales Operations, Growth Operations, or a similar technical growth role Strong experience with CRM platforms, preferably Hub Spot Hands-on experience with automation tools such as Clay, n8n, Make, Zapier, or similar platforms Familiarity with outbound, enrichment, and prospecting tools such as Clay, Smartlead, Lemlist, or similar Strong understanding of B2B sales funnels, lead generation, pipeline management, sales processes, and campaign operations Ability to build workflows, manage data structures, clean datasets, and design segmentation logic Strong data literacy with the ability to analyze funnel performance, campaign results, and pipeline metrics Comfortable using AI tools and LLMs for research, personalization, automation, and productivity Strong problem-solving skills with the ability to convert business needs into scalable technical systems Good communication skills and ability to work cross-functionally with Sales, Marketing,Growth, Rev Ops, and Product teams Based in or willing to relocate to Riyadh, Saudi Arabia
Location: Jeddah, KSA | Mode of Work: Onsite | Term: 12 months | Years of Experience: 7-10 years<br>About Neo Stats Analytics:<br>Neo Stats is a new-age, Data & Analytics firm offering contemporary solutions and infinite possibilities. Our mission is to create lasting competitive advantage for our clients by transforming them into world-class, data-driven organizations. Established in 2022 to provide End to End Data & Analytics Services, we are headquartered out of UAE, with bases in India & UK. Comprising of industry veterans, we enable structural transformations in Analytics powered by our expertise, true partnership, and e2e implementation approach.<br>About the Job:<br>Drive customer acquisition, product adoption, and revenue growth through the execution and optimization of end-to- end digital marketing campaigns, with a focus on cards and retail banking products. The role combines hands-on delivery, performance marketing, and data-driven optimization, supporting broader client growth initiatives. <br>Responsibilities:<br>Campaign Strategy & Delivery Design and execute end-to-end marketing campaigns (ATL / TTL / digital) Lead cards acquisition and product growth campaigns Define targeting strategy using segmentation and A/B testing Support go-to-market activities for new and existing products Performance Marketing & Optimization Manage and optimize campaigns across: o Paid search (Google Ads) o Display & programmatic channels o Social media platforms Track and improve key metrics: o Customer acquisition o Conversion rates o Cost per acquisition (CPA) o Return on marketing investment (ROMI) Media Planning & Budget Management Develop and manage media plans and budget allocation Optimize spend across channels to maximize performance Coordinate with external media and creative agencies where required Data Analysis & Insights Monitor campaign performance and produce actionable insights Conduct A/B testing and experimentation Deliver campaign performance reporting and dashboards Drive continuous optimization based on data insights Stakeholder Management Collaborate with: o Product and cards business teams o Sales and distribution teams o External partners and vendors Support alignment between marketing campaigns and business objectives<br>Requirements:<br>Mandatory: Strong knowledge of SEO, Ads, Customer Acquisition strategies Experience with Marketing Analytics and Reporting7–10 years of experience in: o Digital marketing o Performance marketing o Campaign management Experience in banking, fintech, or cards marketing preferred Strong knowledge of: o Google Ads (Search, Display, Performance Max) o Social media advertising platforms o Media buying and planning o Customer acquisition strategies Experience with: o Campaign optimization o Audience targeting and segmentation o Marketing analytics and reporting Relevant: 7–10 years of experience in Digital marketing, Performance marketing, Campaign management<br>What we offer:<br>Competitive Salary and Benefits Opportunity to be part of a fast-paced and growing startup. Grow your career with the company. Ownership – You will own your initiative and be given specific responsibilities. Continuous coaching & mentoring – You will have the opportunity to interact and work closely with other senior data scientists and AI experts across the globe. Dynamic and respectful work environment – we truly value you.
Purpose of the Job:Configure, support, and optimize Oracle Fusion HCM modules, ensuring data integrity, Saudi regulatory compliance, and continuous improvement across all RSGT terminals.<br>Description:Area of Contribution Administer Oracle Fusion HCM: Core HR, Payroll, Absence, and Talent. Translate HR requirements into HCM configurations and functional designs. Configure, test, and deploy HCM enhancements and new implementations. Define HCM workflows, approval hierarchies, and notification rules. Assess and coordinate Oracle HCM quarterly release deployments. Execute HCM data migration: validation, mapping, and reconciliation. Manage HCM integrations with GOSI, ZATCA, Muqeem, and payroll banks. Build and maintain OTBI, BI Publisher, and HCM Extract reports. Liaise with Oracle Support and partners to resolve issues and apply fixes. Maintain HCM documentation; train HR staff and end users on best practices. Provide Level-1/2 HCM support; escalate to Oracle Support as needed. Maintain GOSI, ZATCA, and labor law compliance in HCM configurations. Coordinate UAT, cutover planning, and post-go-live stabilization. Document HCM specs; conduct periodic data audits and corrective management. Support HR users across all RSGT terminals; respond within 30-min SLA. Monitor HCM availability; coordinate with Oracle Cloud Ops on incidents. Administer HCM security roles and user provisioning in Oracle Fusion. Deliver HCM enhancement projects on time and within scope. Manage HCM projects across all RSGT business units globally. Deactivate HCM accounts and access upon termination, in coordination with HR. Ensure PDPL compliance; conduct periodic SoD access reviews in HCM.<br>Performance Indicators Oracle HCM system availability >= 99%HCM data quality score >= 95% validated via OTBI reports User support SLA response within 30 minutes; Saudi compliance configurations maintained current Zero high-risk audit findings on HCM access management and PDPL compliance<br>Education Requirements:<br>Bachelor’s or master’s degree in computer science, Data Engineering, Information Systems, or related field and Oracle Fusion HCM certification preferred.<br>Skills / Attribute:Oracle Fusion HCM modules (Core HR, Payroll, Absence, Talent). HCM configuration, testing, and user training. OTBI, BI Publisher, and HCM Extracts reporting. Saudi labor law, GOSI, and ZATCA compliance. Strong stakeholder communication across multiple RSGT locations.<br>Required Experience:3+ years Oracle Fusion HCM and one full go-live<br>Competency:Transactional / Analytic Basic Oracle Fusion HCM knowledge across Core HR, Payroll, and Absence modules Supports Level-1 requests and generates standard OTBI and HCM Extract reports Generates operational HR and payroll dashboards using Oracle Fusion analytics<br>Advisory / Operational Management Advanced HCM functional expertise with hands-on configuration across multiple modules Performs Level-2 troubleshooting, root cause analysis, and configuration fixes Builds analytical HR reports and supports decisions with HCM data insights<br>Expert / Advanced Full HCM suite expertise: integrations, fast formulas, and payroll configuration Leads HCM implementation phases and designs solutions for complex HR requirements Delivers workforce analytics and intelligence for executive and HR leadership decisions
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>As a Solution Engineer, you will play a pivotal role in accelerating Cisco's leadership by acting as a trusted technical advisor and solution architect. Your expertise will be crucial in translating service provider objectives into comprehensive, impactful architecture and solution strategies across Cisco s diverse portfolio. Serve as the technical lead within the account team, building trusted advisor relationships with senior IT and business leaders.</p> <ul> <li>Own the end-to-end technology vision and architecture, spanning Service Provider networks, Data Center, Cloud, Automation, Cybersecurity and AI driven operations. </li> <li>Lead the design of large-scale, highly scalable Data Center, Enterprise Networking architectures, aligned with future autonomous networking models. </li> <li>Lead AI-driven network transformation initiatives, including: <ul> <li>Applying AI/ML and LLM models to network operations, assurance, planning, and optimization </li> <li>Positioning Agentic AI for closed-loop decision making, intent execution, and self-healing networks </li> <li>Integrating AI capabilities across transport, Data Center, cloud and cybersecurity domains </li> </ul> </li> <li>Articulate and demonstrate the business impact of AI on network efficiency, cost optimization, resilience, and customer experience. </li> <li>Lead network automation and orchestration strategy, with deep expertise in DNA Center, Nexus Dashboard, Cisco Intersight and Cisco Crosswork Automation portfolio </li> <li>Collaborate with account teams, product leaders, and executives to influence roadmaps, investment decisions, and long-term transformation strategy. </li> <li>Develop and present high-impact technical proposals, architectures, and demonstrations.</li> <li>Drive proof of concepts (POCs), pilots, and solution validation to accelerate decision-making and adoption.</li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p> Minimum Qualifications</p> <ul > <li>3+ year s of proven experience in presales, consultative, or solution architect roles, demonstrating a proven presales track record in designing and deploying solutions, particularly in routing, switching, data center and cloud.</li> </ul> <ul > <li >Technical expertise in:<ul> <li>Scalable, AI-ready Data Center architecture including compute, storage solutions (Cisco or 3rd party), data center networking, Cisco ACI</li> <li>Enterprise network architectures using Cisco routing, switching and wireless solutions, SD-WAN, SASE, modern AI Ops/ML Ops, and programming/scripting capabilities.</li> <li>Service provider network architecture spanning Access, transport, Data center, and Internet with related technologies.</li> </ul> </li> <li >Strong AI and automation expertise, including:<ul> <li>Applied understanding of AI/ML models for networking use cases such as assurance, optimization, planning, and predictive operations</li> <li>Architectural or hands-on knowledge of LLM-based systems for operational insights, automation, and decision support</li> <li>Experience designing or positioning Agentic AI frameworks to enable closed-loop, intent-based, and autonomous network operations</li> </ul> </li> <li >Strong understanding of Cisco technologies and architecture, with proven cross-architecture experience to translate client objectives into comprehensive solutions across Cisco s full portfolio.</li> <li >Ability to simplify complex technical concepts for both technical and non-technical audiences, coupled with strong executive-level communication skills.</li> <li >Solid experience engaging directly with customers, applying consultative selling techniques, understanding financial pain points, and aligning solutions with customer business models to drive value realization and adoption.</li> </ul><p></p></section>
The Ideal Candidate<br><br>We are seeking a detail-oriented and technically capable ERP Specialist with strong analytical ability, problem-solving skills, and a customer-focused mindset. The ideal candidate has a solid understanding of software development, hands-on experience supporting and configuring ERP systems, and the ability to bridge technical requirements with business needs across Finance, HR, Operations, and Supply Chain functions.<br><br>Why Join Us<br><br>Join a fast-paced and growing environment where you will play a key role in optimizing our ERP systems, ensuring data integrity, and enabling smarter, data-driven decisions across the organization. You will work closely with cross-functional teams and contribute directly to improving business processes and system efficiency.<br><br>Role Purpose<br><br>Handle the technical configuration, daily maintenance, and functional support of the organization's ERP system, ensuring business modules operate efficiently while acting as the key link between technical requirements and user needs to drive data integrity and process optimization.<br><br>Key Responsibilities<br><br>Monitor and resolve system issues, bugs, and user-reported problems<br>Coordinate with Finance, HR, Operations, and Supply Chain teams to align ERP functions<br>Assist in gathering business requirements and translating them into technical solutions<br>Manage relationships with ERP vendors and external consultants<br>Develop automated dashboards and reports to track KPIs and business intelligence across departments<br>Design, build, and maintain centralized data repositories (data warehousing) to support analytics and reporting<br>Develop supporting application integrations with Dynamics 365 to enhance financial, operational, and internal audit processes<br>Deliver ERP training and support to department users<br>Assist in planning and organizing department goals and initiatives<br><br>Qualifications<br><br>Bachelor's degree in Information Technology or a related field<br>Minimum 2 years of experience in Information Technology or a related field<br>Solid understanding of software development<br>Proficient in Microsoft Word, Excel, Power Point, and Outlook<br>Professional proficiency in Arabic and English, with understanding of technical terminology<br>Strong analytical, problem-solving, and decision-making abilities<br>Excellent communication and interpersonal skills