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Dear All,<br>Next Era is looking for Contact Center & Service Desk resources in IT field.<br>Contact Center Agent (L1/L2 Support) – 4 Open Position:<br>Role Summary Provide 24x7 frontline omni-channel IT support as part of an integrated Contact Center & Service Desk, handling user queries, incidents, and service requests across voice, chat, email, and portal channels.<br>The role bridges:L1/L2 Service Desk Field/Desktop Support SRE / Reliability Operations<br>Key Responsibilities Act as Single Point of Contact (SPOC) for IT support requests Handle omni-channel interactions (Voice, Email, Chat, Portal, Whats App) Perform ticket logging, categorization, and prioritization in ITSM tool Provide first-level troubleshooting and resolution (L1) Execute:Incident Management Request Fulfillment Triage & First Response Ensure First Call Resolution (FCR) wherever possible Escalate complex issues to L2/L3 teams as per defined procedures Maintain accurate documentation & knowledge base updates Support self-service adoption and AI/chatbot guidance Provide VIP / high-priority user handling when required Ensure adherence to SLA targets and quality standards SLA & Performance Expectations P1 Response: 4.2/5Avg Speed of Answer: < 30 seconds Required Skills & Qualifications Graduate (IT / Computer Science preferred)2–4 years of Service Desk / Contact Center experience Strong customer handling & communication skills Bilingual capability (Arabic + English) Knowledge of:ITSM tools (Service Now or equivalent) Active Directory / M365 / End-user computing basics ITIL Foundation certification (preferred)
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Machine Learning Engineer based in Saudi Arabia.<br><br>This role offers the opportunity to build and improve AI-powered products by developing machine learning solutions that address real-world challenges.<br><br>As a Machine Learning Engineer, you will work with complex datasets, design and optimize models, and help bring intelligent solutions into production.<br><br>You will collaborate with software engineers and technical teams in a fast-moving, remote environment focused on innovation.<br><br>The position combines data analysis, experimentation, software development, and machine learning engineering to create impactful products.<br><br>You will have the opportunity to work on challenging technical problems while continuously expanding your expertise in emerging AI technologies.<br><br>This role is ideal for a curious and motivated engineer who enjoys building practical AI applications and solving meaningful problems.<br><br>Accountabilities<br><br>The Machine Learning Engineer will contribute to the development, deployment, and improvement of AI-driven solutions. The role requires strong technical skills, analytical thinking, and a passion for building scalable machine learning systems. Key responsibilities include:<br><br>Develop, train, test, and evaluate machine learning models to support product objectives. Prepare, clean, analyze, and manage datasets used for model training and validation. Improve model performance through experimentation, optimization, and continuous testing. Deploy, maintain, and monitor machine learning models in production environments. Collaborate with software engineers to integrate machine learning capabilities into products and applications. Track model performance and identify opportunities to improve accuracy, reliability, and efficiency. Apply modern machine learning techniques and stay informed about emerging technologies and best practices. Write clean, maintainable, and efficient code to support scalable AI solutions. Contribute to technical discussions and help solve complex engineering challenges. Participate in the continuous improvement of machine learning workflows and development processes.<br><br>Requirements<br><br>The ideal candidate is a technically curious and motivated professional with a foundation in machine learning, software engineering, or data science. Required qualifications and skills include:<br><br>1+ year of experience in machine learning, software engineering, data science, or a related technical field, or strong personal projects demonstrating machine learning capabilities. Basic understanding of machine learning concepts, algorithms, and model development processes. Strong programming skills in Python. Familiarity with machine learning frameworks and libraries such as PyTorch, Tensor Flow, or scikit-learn. Comfortable working with data and writing clean, maintainable code. Experience using Git and version control practices. Strong problem-solving skills with the ability to analyze technical challenges. Good written and verbal English communication skills. Passion for learning, experimenting, and building AI-powered solutions. Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field is a plus but not mandatory. Experience with large language models (LLMs) is an advantage. Familiarity with cloud platforms such as AWS, GCP, or Azure is beneficial. Knowledge of SQL and experience deploying machine learning models are considered advantages. Personal AI, machine learning projects, or open-source contributions are highly valued.<br><br>Benefits<br><br>The role offers a flexible remote environment and the opportunity to contribute to innovative AI solutions while growing professionally. Benefits include:<br><br>Fully remote work opportunity. Flexible working environment with autonomy and work-life balance. Opportunity to build and improve real-world AI products. Exposure to challenging technical problems and modern machine learning technologies. Collaborative and fast-moving team environment. Opportunities for professional growth and continuous learning. Competitive compensation based on experience. Opportunity to contribute to impactful machine learning projects from anywhere.<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"><ul><li>Design and architect robust, scalable, and secure technical solutions aligned with business requirements, ensuring optimal performance and cost-effectiveness.</li><li>Lead the evaluation and selection of technologies, platforms, and tools, providing technical guidance and recommendations to development teams.</li><li>Develop and maintain architectural blueprints, technical documentation, and standards to ensure consistency and adherence to best practices across the organization.</li><li>Collaborate with cross-functional teams, including developers, product managers, and business stakeholders, to translate business needs into technical specifications.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Possesses a Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field, providing a strong foundation in technical principles.</p></li><li><p>Holds relevant certifications such as TOGAF, AWS Certified Solutions Architect, or similar, demonstrating a commitment to architectural excellence.</p></li><li><p>Demonstrates 5+ years of experience in software development and technical architecture roles, showcasing a proven track record of success.</p></li><li><p>Exhibits a deep understanding of cloud computing platforms (AWS, Azure, GCP), microservices architecture, and DevOps principles, enabling cloud-native solutions.</p></li></ul><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>You will play a critical role in shaping the organization s DevSecOps strategy, improving developer productivity, and promoting automation and security best practices across the software delivery lifecycle. If you are passionate about cloud infrastructure, CI/CD automation, Kubernetes, and platform engineering, we d love to hear from you./p><br> Key Responsibilities DevSecOps Platform Leadership<br></p><ul> <li>Provide technical leadership and mentorship for DevSecOps platforms and engineering best practices</li> <li>Define and execute the roadmap and strategy for DevSecOps tooling and platform services</li> <li>Serve as a trusted technical advisor to development, security, and operations teams</li> <li>Promote a culture of automation, collaboration, continuous improvement, and operational excellence</li> </ul> CI/CD & Automation<br><ul> <li>Design, implement, and maintain automated CI/CD pipelines for build, test, deployment, and release management</li> <li>Drive automation initiatives to improve software delivery speed, reliability, and consistency</li> <li>Standardize engineering workflows and deployment practices across teams</li> <li>Support infrastructure-as-code initiatives using tools such as Terraform or Pulumi</li> </ul> Cloud & Container Platform Management<br><ul> <li>Manage and scale cloud-native infrastructure across AWS, Azure, or GCP environments</li> <li>Oversee container orchestration platforms including Kubernetes, EKS, AKS, and GKE</li> <li>Ensure platform reliability, scalability, performance, and security</li> <li>Support containerization technologies such as Docker and related ecosystem tools</li> </ul> Security & Observability<br><ul> <li>Integrate automated security tooling including SAST, DAST, IAST, and SCA into CI/CD pipelines</li> <li>Champion DevSecOps security best practices throughout the software development lifecycle</li> <li>Implement and maintain observability solutions including logging, monitoring, and tracing platforms</li> <li>Work with tools such as ELK Stack, Prometheus/Grafana, Datadog, and similar technologies</li> </ul> Collaboration & Continuous Improvement<br><ul> <li>Collaborate closely with engineering, security, and operations teams to streamline delivery processes</li> <li>Improve developer experience and operational efficiency through platform enhancements</li> <li>Maintain documentation, operational procedures, and platform standards</li> <li>Identify opportunities for optimization, cost reduction, and system improvement</li> </ul><br> Requirements What We re Looking For<br><ul> <li>Bachelor s degree in Computer Science, Engineering, or a related technical field</li> <li>6+ years of experience in DevOps, SRE, infrastructure engineering, or software development with a strong focus on automation</li> <li>Hands-on experience with CI/CD platforms such as Jenkins, GitLab CI, GitHub Actions, or Azure DevOps</li> <li>Strong experience with Infrastructure-as-Code tools such as Terraform or Pulumi</li> <li>Solid understanding of containerization and orchestration technologies including Docker and Kubernetes</li> <li>Experience working with cloud platforms such as AWS, Azure, or GCP</li> <li>Proficiency in scripting and automation using languages such as Python or Bash</li> <li>Strong troubleshooting, analytical, and problem-solving skills</li> <li>Excellent communication and collaboration abilities</li> <li>Ability to lead technical initiatives and mentor engineering teams effectively</li> <li>Experience with observability and monitoring platforms is highly preferred</li> <li>Familiarity with security tooling and DevSecOps methodologies is a strong advantage</li> </ul><br> What We Offer<br><ul> <li>Opportunity to lead and shape modern DevSecOps platform initiatives</li> <li>Exposure to cutting-edge cloud, automation, and security technologies</li> <li>Collaborative and innovative engineering environment</li> <li>Opportunities for professional growth, leadership, and career advancement</li> <li>Flexible and supportive work culture</li> <li>Competitive compensation based on experience and qualifications</li> <li>Long-term career opportunities within a growing technology organization</li> </ul><br> Diversity & Inclusion<br><p>We are committed to fostering a diverse, equitable, and inclusive workplace where all employees feel valued, respected, and empowered to succeed. We welcome applicants from all backgrounds, experiences, and perspectives./p></p><p><br></p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor s degree in Computer Science, Engineering, or a related technical field</p>
<ul> <li>6+ years of experience in DevOps, SRE, infrastructure engineering, or software development with a strong focus on automation</li> <li>Hands-on experience with CI/CD platforms such as Jenkins, GitLab CI, GitHub Actions, or Azure DevOps</li> <li>Strong experience with Infrastructure-as-Code tools such as Terraform or Pulumi</li> <li>Solid understanding of containerization and orchestration technologies including Docker and Kubernetes</li> <li>Experience working with cloud platforms such as AWS, Azure, or GCP</li> <li>Proficiency in scripting and automation using languages such as Python or Bash</li> <li>Strong troubleshooting, analytical, and problem-solving skills</li> <li>Excellent communication and collaboration abilities</li> <li>Ability to lead technical initiatives and mentor engineering teams effectively</li> <li>Experience with observability and monitoring platforms is highly preferred</li> <li>Familiarity with security tooling and DevSecOps methodologies is a strong advantage</li> </ul><p></p></section>
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<span>The Senior Business Systems Analyst is responsible for analyzing, evaluating, enhancing, and supporting business systems and processes that enable asset integrity, maintenance, inspection, and operational excellence across the organization.<br> The role serves as a key liaison between business stakeholders and technical teams, ensuring that business requirements are translated into effective system solutions that improve operational efficiency, data integrity, and decision-making.<br> Education Bachelor’s Degree in Information Technology, Computer Science, Information Systems, or a related field.<br> Experience Minimum 15 years of relevant experience.<br> Minimum 5 years of experience on Saudi Aramco projects is preferred.<br> Experience in Oil & Gas, Petrochemical, Utilities, or Industrial sectors.<br> Mandatory RequirementsSAP Strong hands-on experience in SAP Plant Maintenance (PM), including: Equipment Master Functional Locations Maintenance Planning Inspection Planning Work Order Management Experience with custom SAP developments and integrations.<br> Strong knowledge of ABAP, OData, CDS Views, Workflow, Smart Forms, Adobe Forms, BADIs, and BAPIs.<br> Experience with SAP Fiori/UI5, SAP BTP, and RAP developments.<br> Data & Analytics Advanced Power BI development and reporting experience.<br> Strong SQL skills for data extraction, validation, and reporting.<br> Industrial Systems Experience with PI System (OSIsoft) or similar industrial data historians.<br> Understanding of ETL processes and integration between operational and enterprise systems.<br> Business Systems Analysis Proven experience in requirements gathering, business process analysis, solution design, testing, and system implementation.<br> Ability to manage system enhancements, troubleshoot issues, and coordinate end-to-end resolution.<br> Digital & Emerging Technologies Knowledge of AI/ML applications for predictive maintenance and asset integrity.<br> Key Responsibilities Analyze business requirements and recommend system improvements and automation solutions.<br> Support, enhance, and optimize SAP PM and related asset management systems.<br> Develop Power BI dashboards and business reports.<br> Coordinate with business users, IT teams, and vendors to deliver system enhancements.<br> Lead workshops, document requirements, and support testing and deployment activities.<br> Ensure data quality, governance, and compliance with company standards.<br> Preferred Certifications SAP S/4HANA Asset Management (PM) SAP BTP SAP Fiori Associate Microsoft Power BI (PL-300) PMP / PRINCE2 / Agile NACE/AMPP, API 510/570/653, or ISO 55000 Skills Stakeholder Management Project Management Problem Solving & Troubleshooting Data Governance Communication & Documentation</span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5">
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About the Role:<br>We are seeking a Cyber Risk Consultant to join our growing team. The ideal candidate will have experience in cybersecurity risk management, conducting risk assessments, identifying and mitigating cyber risks, and ensuring compliance with cybersecurity frameworks and regulatory requirements. The candidate should be passionate about strengthening organizations' cybersecurity posture through effective governance and risk management practices.<br>Key Responsibilities:Conduct cybersecurity risk assessments and maintain the cyber risk register. Identify, assess, evaluate, and monitor cybersecurity risks. Develop and track risk treatment and mitigation plans. Review and assess cybersecurity controls against regulatory and industry standards. Develop, implement, and maintain cybersecurity governance, policies, standards, and procedures. Ensure compliance with cybersecurity frameworks and regulatory requirements, including NCA ECC and ISO 27001. Support internal and external cybersecurity audits and assessments. Prepare reports, risk dashboards, and recommendations for stakeholders. Collaborate with cross-functional teams to strengthen cybersecurity risk management practices.<br>Requirements:Bachelor's degree in Cybersecurity, Information Security, Computer Science, or a related field.2–4 years of experience in Cybersecurity GRC with a strong focus on Risk Management. Hands-on experience in cybersecurity risk assessments, risk register management, and risk treatment. Good understanding of cybersecurity frameworks and standards such as NCA ECC, ISO 27001, and NIST CSF. Strong analytical, problem-solving, and communication skills. Relevant certifications such as CRISC, ISO 27001, Security+, GRCP, or equivalent are considered a plus.
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<span>Muller's Solutions is seeking an experienced Skadina Solutions Architect to design, govern, and oversee the implementation of enterprise digital solutions utilizing the Skadina platform.<br> The ideal candidate will be responsible for defining the overall architecture, ensuring scalability, security, and alignment with business and technical requirements.<br> Key Responsibilities: Design and define end-to-end solution architecture using the Skadina platform.<br> Ensure alignment between business requirements and technical solutions.<br> Develop architectural blueprints, integration designs, and technical standards.<br> Lead the design of integrations with internal and external systems through APIs and middleware.<br> Ensure compliance with security, scalability, and performance requirements.<br> Collaborate with business stakeholders, developers, and infrastructure teams.<br> Review and approve technical designs and implementation approaches.<br> Provide technical leadership and guidance throughout the project lifecycle.<br> Prepare and maintain architecture documentation and technical specifications.<br> Bachelor's degree in Computer Science, Information Technology, or a related field.<br> Minimum 8+ years of experience in solution architecture and enterprise application design.<br> Hands-on experience with the Skadina platform .<br> Strong experience in enterprise integrations, APIs, and system architecture.<br> Experience with cloud technologies, security frameworks, and integration patterns.<br> Excellent communication and stakeholder management skills.<br></span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5">
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<b>Job Details:</b><br><br>Job Description: <p><b>About the role</b></p><br><br><p><br>Join Intel's Agentic Platform team as we build a regional engineering presence in Saudi Arabia, in alignment with Saudi Vision 2030 and the Kingdom's ambition to become a global AI hub. You will help build the software, tooling, and integrations behind Intel's agentic AI platform - the systems that let enterprise customers across the Kingdom and the wider MENA region deploy, operate, and scale AI agents on Intel hardware.</p><br><br><p><br>This is a hands-on engineering role for an early-career software engineer. You will write production code, contribute to platform features end-to-end, and grow alongside global Intel teams that are shipping the agentic AI stack today.<br><b>What you'll do</b></p><br><br><p><br>• Build and maintain features of the Agentic Platform: Front End UI, APIs, services, tooling, and integrations that customer teams rely on<br>• Contribute to the platform's deployment, observability, and quality across Intel hardware (Xeon, Gaudi, Arc / iGPU)<br>• Collaborate with global Intel engineering teams on shared codebases - code reviews, design discussions, and on-call rotations<br>• Work directly with the Regional Customer Success Engineering team to translate field feedback into platform improvements<br>• Document features and write internal technical content in both English and Arabic, supporting bilingual engineering and partner communication<br>• Participate in regional customer engagements, partner sessions, and Vision 2030 ecosystem activities (e.g., LEAP, Global AI Summit) as a technical representative of the team</p><br><br><br><br><b>Qualifications:</b><p><b>What we're looking for (minimum requirements)</b></p><br><br><p><br>• Bachelor's degree in Computer Science, Software Engineering, or a related engineering field<br>• 1-3 years of software engineering experience (internships, co-ops, and meaningful open-source contributions are counted)<br>• Proficiency in at least one of: Python, TypeScript, Go, C++, Rust, React, JavaScript<br>• Comfortable with Linux, Git, and command-line development<br>• Familiarity with REST APIs, HTTP-based services, and basic SQL (SQLite or PostgreSQL)<br>• Comfortable reading unfamiliar codebases and learning new technologies quickly<br>• Working proficiency in both Arabic and English - able to participate in technical discussions, write documentation, and communicate with customers and partners in both languages<br><b>Nice to have</b></p><br><br><p><br>• Experience with Docker and containerized development<br>• Exposure to AI / ML frameworks (PyTorch, TensorFlow) or LLM tooling (LangChain, LlamaIndex, Anthropic SDKs)<br>• Open-source contributions, technical blog posts, or participation in regional AI / developer communities (e.g., SDAIA, Saudi AI Society, GCC tech meetups)<br>• Prior internship or graduate experience at a global technology company</p><br><br><br><p><i>* Job posting details (such as work model, location or time type) are subject to change.</i></p><br><br><br><br><br><br>Job Type:Experienced Hire<br><br>Shift:Shift 1 (Saudi Arabia)<br><br>Primary Location: Saudi Arabia, Riyadh<br><br>Additional Locations:<br><br><br><br>Business group:Intel makes possible the most amazing experiences of the future. You may know us for our processors. But we do so much more. Intel invents at the boundaries of technology to make amazing experiences possible for business and society, and for every person on Earth. Harnessing the capability of the cloud, the ubiquity of the Internet of Things, the latest advances in memory and programmable solutions, and the promise of always-on 5G connectivity, Intel is disrupting industries and solving global challenges. Leading on policy, diversity, inclusion, education and sustainability, we create value for our stockholders, customers, and society.<br><br>Posting Statement:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of TrustN/A<br><p><b>Work Model for this Role</b></p><br><br>This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.<br><p>*</p><br><br><br><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5">
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<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p><strong>Lead delivery projects with our clients on a wide range of topics:</strong></p>
<ul>
<li>Lead and deliver client engagements across a broad range of Data Science, AI, and Generative AI topics, including enterprise AI transformation, analytics, and intelligent automation initiatives.</li>
<li>Develop Data & AI strategies, operating models, and implementation roadmaps aligned with client business objectives and digital transformation agendas.</li>
<li>Design and deliver advanced analytics, Machine Learning, Generative AI, and Agentic AI solutions across cloud ecosystems including Microsoft Azure, Azure OpenAI, AWS, and Google Cloud Platform (GCP).</li>
<li>Design and implement LLM-powered solutions, including RAG architectures, AI agents, prompt engineering frameworks, orchestration layers, and vector database integrations.</li>
<li>Lead functional data architecture, data modelling, and data engineering activities, including ETL/ELT pipelines, API integrations, and structured/unstructured data processing to maximize enterprise data value.</li>
<li>Develop and deploy Machine Learning and AI models, including predictive analytics, supervised and unsupervised learning, forecasting, NLP, recommendation engines, and quantitative analysis use cases.</li>
<li>Support the setup of scalable AI/ML deployment environments through MLOps practices, model lifecycle management, monitoring, and governance frameworks.</li>
<li>Deliver data platform modernization, migration, and AI enablement initiatives leveraging modern cloud-native and enterprise data technologies.</li>
<li>Implement enterprise data governance and Responsible AI frameworks, including data quality management, master data management, AI governance, security, compliance, and data sovereignty considerations.</li>
<li>Support organizational adoption and business readiness for Data & AI solutions through stakeholder engagement, training, and operating model enablement.</li>
<li>Contribute to business development activities, proposal development, thought leadership, and the expansion of Sia s AI and Data offerings, accelerators, and platforms, including SiaGPT.</li>
</ul>
<p><strong>In addition, we are seeking technical experience across all or some of the below:</strong></p>
<ul>
<li>Strong foundation in Data Science, Machine Learning, and Generative AI, with practical experience delivering AI use cases in enterprise environments.</li>
<li>Hands-on experience with Python-based AI/ML ecosystems (e.g., Pandas, Scikit-learn, TensorFlow, PyTorch, LangChain).</li>
<li>Experience designing and deploying LLM and Agentic AI solutions, including RAG architectures, AI agents, prompt engineering, orchestration frameworks, and vector databases.</li>
<li>Knowledge of modern AI platforms and cloud ecosystems such as Microsoft Azure AI, Azure OpenAI, AWS, Google Cloud, Databricks, or Snowflake.</li>
<li>Experience with data engineering and data architecture concepts, including ETL pipelines, APIs, structured/unstructured data processing, and enterprise data platforms.</li>
<li>Familiarity with MLOps / AIOps practices, model lifecycle management, monitoring, governance, and scalable deployment approaches.</li>
<li>Understanding of AI governance, responsible AI, security, and data sovereignty requirements, particularly relevant for public sector and regulated industries in KSA and the GCC.</li>
<li>Experience with business intelligence and visualization tools such as Power BI, Tableau, or similar.</li>
<li>Ability to translate business problems into AI-driven operating models, analytics solutions, and transformation initiatives.</li>
<li>Exposure to sector-specific AI use cases across industries such as Government, Energy, Utilities, Retail, Transportation, Financial Services, or Healthcare.</li>
<li>Strong understanding of enterprise digital transformation environments, including integration with CRM, ERP, workflow, and customer platforms.</li>
<li>Experience contributing to or leading AI strategy, use case prioritization, PoCs, MVPs, and enterprise-scale AI implementation programs.</li>
<li>Familiarity with Agile delivery methodologies and cross-functional product delivery teams.</li>
<li>Fluency in English is required; Arabic language proficiency is strongly preferred. Previous experience working in Saudi Arabia or the GCC region is considered a strong advantage.</li>
</ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><b>To excel in this role, you should possess:</b></p>
<ul>
<li>Bachelor s degree in Computer Science, Data Science, Artificial Intelligence, Information Systems, Software Engineering, Mathematics, Statistics, or a related quantitative field.</li>
<li>Master s degree in a relevant discipline.</li>
<li>4 10 years of professional experience in Data Science, AI, Analytics, or Digital Transformation, preferably within a consulting environment.</li>
<li>Proven experience delivering AI/Data projects from strategy and use case definition through implementation and deployment.</li>
<li>Experience working with enterprise and government stakeholders in KSA or the GCC.</li>
<li>Strong client-facing communication and presentation skills, with the ability to engage senior stakeholders and translate technical concepts into business value.</li>
<li>Ability to manage workstreams independently and contribute to proposal development, business development activities, and client relationship management.</li>
<li>Relevant certifications in cloud, AI, or analytics platforms are considered a plus (e.g., Microsoft Azure AI, AWS Machine Learning, Google Cloud AI, Databricks).</li>
<li>Fluency in English and Arabic is required.</li>
<li>Experience in local networks and aiding in business development, proposal, and RFPs</li>
<li>It is essential to work independently, functionally, and cross-functionally with large client and vendor teams to deliver quality and comprehensive solutions.</li>
<li>Strong relationship management skills, with the ability to build networks and influence stakeholders effectively</li>
<li>Exceptional analytical, communication, and interpersonal skills</li>
<li>An entrepreneurial mindset with a passion for innovation and problem-solving</li>
</ul><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Job Description: AI Product & Business Translation Lead Job Title: AI Product & Business Translation Lead Experience: 9 12+ Years Location: Riyadh - Onsite Employment Type: Full-Time Job Overview We are seeking an experienced AI Product & Business Translation Lead with 9 12+ years of experience to bridge the gap between business objectives, product strategy, and artificial intelligence capabilities. The ideal candidate will have strong expertise in defining AI use cases, developing AI-driven product strategies, engaging executive stakeholders, and driving successful adoption of AI solutions across organizations. This role requires a strong understanding of business transformation, AI capabilities, product lifecycle management, and the ability to translate complex AI concepts into measurable business outcomes. Key Responsibilities Define and prioritize AI use cases aligned with business objectives and strategic goals. Develop AI product strategies, roadmaps, and adoption frameworks. Collaborate with business leaders, product teams, data scientists, and engineering teams to identify AI opportunities. Translate business requirements into actionable AI solutions and product initiatives. Evaluate AI opportunities based on business value, feasibility, scalability, and impact. Drive stakeholder engagement across business and technology teams. Support AI adoption initiatives by creating awareness, enablement plans, and change management strategies. Define success metrics and KPIs for AI product initiatives. Facilitate communication between technical teams and business stakeholders. Support governance, prioritization, and lifecycle management of AI solutions. Identify industry trends and emerging AI capabilities to recommend strategic opportunities. Required Technical & Business Skills AI Use Case Strategy Strong experience in AI use case definition and identification of business opportunities for AI adoption. Ability to evaluate AI feasibility, business impact, and implementation roadmap. Experience translating AI capabilities into practical business solutions. Product Strategy & Management Strong experience in AI product strategy and roadmap development. Experience defining product vision, priorities, success metrics, and adoption strategies. Understanding of product lifecycle management and digital transformation initiatives. Stakeholder Engagement Proven experience managing stakeholder engagement across business, technology, and executive teams. Ability to communicate complex AI concepts to technical and non-technical audiences. Experience facilitating workshops, discovery sessions, and executive discussions. AI Adoption & Change Enablement Experience driving AI adoption across organizations. Ability to develop adoption frameworks, training strategies, and business enablement plans. Understanding of organizational change management principles. Qualifications Bachelor's degree in Computer Science, Business Administration, Artificial Intelligence, Information Systems, or a related field. 9 12+ years of experience in AI product management, digital transformation, business strategy, technology consulting, or related roles. Strong understanding of AI/ML concepts and enterprise AI adoption challenges. Excellent leadership, communication, and stakeholder management skills. Proven ability to manage cross-functional initiatives and deliver business outcomes. Preferred Skills Experience working with Generative AI, Large Language Models (LLMs), and AI-powered products. Exposure to cloud AI platforms such as AWS, Azure, or Google Cloud AI services. Experience in enterprise transformation programs and innovation initiatives. Familiarity with AI governance, responsible AI practices, and risk management. Experience working in Agile product development environments. Key Capability Areas AI Strategy: AI Use Case Definition and AI Opportunity Assessment and Business Value Mapping Product Management: Product Strategy and AI Roadmap Development and Adoption Planning Stakeholder Management: Executive Engagement and Cross-functional Collaboration and Business-Technology Alignment AI Adoption: Change Enablement and User Adoption Strategy and AI Transformation Initiatives Business Translation: Translating AI Capabilities and Driving Measurable Business Outcomes and Strategic Decision Support Share</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor's degree in Computer Science, Business Administration, Artificial Intelligence, Information Systems, or a related field. 9 12+ years of experience in AI product management, digital transformation, business strategy, technology consulting, or related roles. Strong understanding of AI/ML concepts and enterprise AI adoption challenges. Excellent leadership, communication, and stakeholder management skills. Proven ability to manage cross-functional initiatives and deliver business outcomes. Preferred Skills Experience working with Generative AI, Large Language Models (LLMs), and AI-powered products. Exposure to cloud AI platforms such as AWS, Azure, or Google Cloud AI services. Experience in enterprise transformation programs and innovation initiatives. Familiarity with AI governance, responsible AI practices, and risk management. Experience working in Agile product development environments.</p><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>1 End to End implementation activities including process understanding, business designs, blueprint preparation, static data collection, master data preparation, cut over, data migration, user training and user acceptance.
2 To understand the business requirement and transform it to SAP environment
3 Prepare Functional specifications and conduct unit tests, SITs and UATs.
4 Configuration of MM/SRM organizational structure like company codes, plants, storage locations, purchasing organization and purchasing groups
5 Configuration of Procurement processes like contracts, catalogs, shopping carts, purchase orders, goods receipts, and invoices.
6 Configure Business process workflows for the procurement processes</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Atleast 2 End to End SAP SRM implementation Projects</p></li><li><p>Functional expertise in Organizational setup, Sourcing, Catalog management (MDM), Service procurement, Supplier enablement & evaluation and Contract Management.</p></li><li><p>Procurement for – RFx process, Auctions, Live Bidding, Two envelope Bidding with Document collaboration</p></li><li><p>Configuration experience in Extended classic scenario, SRM-SUS, ROS, PDP scenario and Process controlled workflows</p></li><li><p>Strong integration experience between SRM, MM and FI</p></li></ul><p></p></section>
<table class="MsoNormalTable" border="1" cellspacing="0" cellpadding="0">
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<td colspan="6" valign="top">
<p ><strong><span >Job Description </span></strong></p>
</td>
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<tr >
<td colspan="6" valign="top">
<p ><strong><span >OVERVIEW</span></strong></p>
</td>
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<p ><strong><span >Job Title</span></strong></p>
</td>
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<p ><span >Senior Consultant</span></p>
</td>
<td valign="top">
<p ><strong><span >Job Code</span></strong></p>
</td>
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<p > </p>
</td>
<td valign="top">
<p ><strong><span >Grade</span></strong></p>
</td>
<td valign="top">
<p ><span >I4</span></p>
</td>
</tr>
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<td valign="top">
<p ><strong><span >Direct Reporting Relationships</span></strong></p>
</td>
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<p ><span >Reports to: </span></p>
<ul >
<li ><span > </span></li>
</ul>
</td>
<td colspan="4" valign="top">
<p ><span >Supervises (Job Title):</span></p>
<ul >
<li ><span > N/A</span></li>
</ul>
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<p ><strong><span >Division</span></strong></p>
</td>
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<p ><span >MOI &NIC</span></p>
</td>
<td valign="top">
<p ><strong><span >Department</span></strong></p>
</td>
<td colspan="3" valign="top">
<p ><span >Vehicles</span></p>
</td>
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<p ><strong><span >Section</span></strong></p>
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<p > </p>
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<p ><strong><span >Unit</span></strong></p>
</td>
<td colspan="3" valign="top">
<p > </p>
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<p > </p>
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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>
</td>
</tr>
<tr >
<td valign="top">
<p ><strong><span >To provide technical expertise, overseeing product success, ensuring code quality growth to deliver effective software solutions aligned with company goals, </span></strong><strong><span >according to the policies and procedures followed in Elm.</span></strong></p>
</td>
</tr>
</tbody>
</table>
<p > </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>
</td>
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<tr >
<td valign="top">
<p ><strong><span >Key Accountabilities</span></strong></p>
</td>
<td valign="top">
<p ><strong><span >Key Activities</span></strong></p>
</td>
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<tr >
<td >
<ol >
<li ><span >Development Lifecycle Engagement </span></li>
</ol>
</td>
<td valign="top">
<ul >
<li ><span >Drive the development of software solutions from concept to delivery, ensuring alignment with project goals.</span></li>
<li ><span >Collaborate with stakeholders to understand product requirements and translate them into technical specifications.</span></li>
<li ><span >Contribute to architectural decisions, focusing on scalability, performance, and maintainability.</span></li>
</ul>
<p > </p>
</td>
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<td >
<ol start="2">
<li ><span >Architectural Design & Problem Solving</span></li>
</ol>
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<td valign="top">
<ul >
<li ><span >Participate in the design and review of system architectures, emphasizing scalability and maintainability.</span></li>
<li ><span >Evaluate and recommend technologies and frameworks suitable for specific product requirements.</span></li>
<li ><span >Work closely with the architecture team to establish coding standards and best practices.</span></li>
<li ><span >Proactively identify potential roadblocks and technical challenges, proposing effective solutions.</span></li>
<li ><span >Investigate and debug complex technical issues, collaborating with the team to implement solutions.</span></li>
<li ><span >Implement and advocate for best practices to enhance system reliability and performance.</span></li>
</ul>
</td>
</tr>
<tr >
<td >
<ol start="3">
<li ><span >Adaptability and Continuous Improvement</span></li>
</ol>
</td>
<td valign="top">
<ul >
<li ><span >Utilize in-depth knowledge of frameworks, libraries, and tools to streamline development processes.</span></li>
<li ><span >Evaluate and recommend new tools or updates to existing ones for improved efficiency.</span></li>
<li ><span >Lead the adoption of new technologies that align with product requirements.</span></li>
<li ><span >Lead initiatives to implement innovative technologies or methodologies in development processes.</span></li>
<li ><span >Lead post-project reviews to capture lessons learned, and implement improvements in future projects.</span></li>
</ul>
<p > </p>
</td>
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<td valign="top">
<ol start="4">
<li ><span >Documentation and Communication</span></li>
</ol>
</td>
<td valign="top">
<ul >
<li ><span >Act as a bridge between technical and non-technical stakeholders, translating complex concepts into understandable terms.</span></li>
<li ><span >Create and maintain comprehensive documentation for code, APIs, and system architecture.</span></li>
<li ><span >Document coding standards, best practices, and development processes.</span></li>
<li ><span >Ensure documentation is accessible and up-to-date for the entire development team.</span></li>
</ul>
<p > </p>
</td>
</tr>
<tr >
<td valign="top">
<ol start="5">
<li ><span >Delivery and Quality Assurance</span></li>
</ol>
</td>
<td valign="top">
<ul >
<li ><span >Ensure successful product delivery by managing timelines, milestones, and resources effectively.</span></li>
<li ><span >Collaborate with product managers to identify and mitigate potential risks.</span></li>
<li ><span >Collaborate with QA engineers to establish and maintain a robust testing framework.</span></li>
<li ><span >Review and analyze test results to identify and address quality-related issues.</span></li>
<li ><span >Advocate for automated testing practices to enhance overall software quality.</span></li>
</ul>
<p > </p>
</td>
</tr>
</tbody>
</table>
<p > </p>
<p > </p>
<p > </p>
<p > </p>
<p > </p>
<p > </p>
<p > </p>
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<p ><strong><span >JOB SPECIFICATIONS</span></strong></p>
</td>
</tr>
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<td valign="top">
<p ><strong><span >Academic and professional qualifications</span></strong></p>
</td>
<td valign="top">
<ul >
<li ><span >Bachelor's or Master's degree in Computer Science or related field (advanced degrees preferred)</span></li>
</ul>
</td>
</tr>
<tr>
<td valign="top">
<p ><strong><span >Years and Nature of Experience</span></strong></p>
</td>
<td valign="top">
<ul >
<li ><span >8 - 10 Years in relevant experience </span></li>
</ul>
</td>
</tr>
</tbody>
</table>
<p > </p>
</span>
Job post start date : 26/07/2026Job post end date : 30/07/2026About the company :Establishment 1988 as part of Saudi Arabia’s strategy to develop self-sufficiency in civil and military aircraft maintenance, overhaul, and modifications through the transfer of technology and the development of Saudi nationals<br>Vision :To lead the future of aviation, space, and defense – sitting global standards while powering the ambition of Vision 2030.<br>Mission :To deliver high-quality aviation products and services that ensure exceptional customer satisfaction and long-term profitability Role Summary We are seeking an experienced and hands-on Senior Network Security Engineer to lead, manage, and strengthen the organization’s enterprise network security infrastructure. The ideal candidate will combine strong technical expertise with leadership capabilities to manage security operations, support enterprise security platforms, mentor team members, and drive continuous improvement across network security and cyber defense technologies. This role requires ownership of enterprise firewall architecture, secure remote access solutions, network access control, threat monitoring, operational support, vendor coordination, and cross-functional collaboration. Key Responsibilities Security Architecture & Firewall Management Design, deploy, administer, and optimize enterprise firewall environments. Manage and maintain next-generation firewall platforms, including Fortinet and Palo Alto Networks. Develop and implement security policies, network segmentation, NAT, IPS, application control, URL filtering, and advanced threat protection. Perform firewall rule lifecycle management, periodic reviews, cleanup, and compliance validation. Support high-availability deployments, upgrades, troubleshooting, and performance tuning. Secure Access & VPN Management Design, implement, and manage secure remote access and application access solutions. Administer technologies such as App Gate Secure Access, Forti Client VPN, and Forti Web secure access integrations. Monitor VPN performance, availability, and user access. Implement Zero Trust access controls where applicable. Ensure secure access solutions are aligned with business and cybersecurity requirements. Network Access Control Deploy, manage, and maintain Network Access Control solutions, including Fortinet NAC. Implement device profiling, posture assessment, onboarding, and access enforcement. Integrate NAC with authentication systems, endpoint platforms, and network infrastructure. Monitor NAC performance and support issue resolution. Security Operations & Threat Management Monitor, investigate, and respond to cybersecurity threats and incidents. Manage and optimize security controls, including IPS, WAF, endpoint security platforms, and related tools. Coordinate remediation activities and ensure timely incident resolution. Conduct security assessments and identify areas for improvement. Support cybersecurity initiatives, audits, compliance requirements, and operational reporting. Monitoring & Operations Administer and maintain OPManager Plus monitoring platform. Configure dashboards, alerts, health monitoring, reporting, and capacity planning. Ensure operational visibility across network and security infrastructure. Support incident, problem, and change management activities. Prepare technical documentation, operational procedures, and status reports. Leadership & Team Support Lead and mentor engineers and analysts within the network and security operations area. Promote collaboration, accountability, and continuous learning. Support technical decision-making and operational excellence. Coordinate with internal stakeholders, external vendors, and managed service providers. Support project planning, implementation, documentation, and handover activities. Required Skills Strong hands-on experience with Fortinet and Palo Alto security solutions. Strong knowledge of NGFW architecture, IPS/IDS, WAF, VPN, NAC, endpoint security, and network segmentation. Experience with App Gate Secure Access or similar Zero Trust Network Access solutions. Experience with OPManager Plus or similar monitoring and reporting platforms. Strong understanding of TCP/IP, routing, switching, VLANs, DNS, DHCP, and enterprise network services. Strong troubleshooting, incident handling, and root cause analysis skills. Experience working in enterprise-scale network and security environments. Good understanding of security best practices, compliance requirements, and operational controls. Excellent communication, documentation, and stakeholder management skills. Leadership Competencies Team leadership and mentoring. Ownership and accountability. Decision-making under pressure. Strong interpersonal communication. Collaboration across multiple teams. Strategic and operational thinking. Continuous improvement mindset. Required Experience Minimum 8 years of experience in network and cybersecurity operations. Minimum 3 years in a senior engineering, technical lead, or leadership role. Proven experience managing enterprise-scale security infrastructure. Experience working with internal IT teams, cybersecurity teams, vendors, and managed service providers. Preferred Certifications Mandatory / Highly Preferred Bachelor's degree in Computer Science, Information Technology, Cybersecurity, or related field. Fortinet NSE 4 / NSE 5 / FCP / FCSS. PCNSE, Palo Alto Certified Network Security Engineer. Preferred CCNP Security. CISSP. CISM. CEH. Comp TIA Security+. ITIL Foundation. Forti NAC Specialist Certification. App Gate Administrator Certification.
Job Purpose / Role:Lead and manage the Digital & Transformation Risk function within TRD, responsible for independent oversight, assessment, and challenge of technology risks arising from the Bank’s digital and transformation initiatives. The role ensures that risks associated with large-scale technology programs such as core banking modernization, data and AI initiatives, cloud adoption, API enablement, and Dev Ops transformation are proactively identified, rigorously assessed, and effectively governed across the full lifecycle. The Section Head is accountable for approving transformation risk assessments, validating architecture and execution risks, and ensuring that risks to business value, delivery outcomes, and operational stability are clearly articulated and addressed. The role provides forward-looking insights on emerging technology risks, supports executive decision-making, and ensures that transformation initiatives are delivered in a controlled, resilient, and value-aligned manner.<br>Areas Of Responsibility:Transformation Risk Oversight (End-to-End Lifecycle) Lead and approve risk assessment and challenge across transformation initiatives throughout the lifecycle: design, build, testing, deployment, and stabilization. Ensure early engagement in programs to identify risks at architecture and design stages. Validate completeness and rigor of risk coverage across all phases of delivery. Ensure continuous oversight rather than point-in-time review. Architecture, Design & Integration Risk Approve risk assessments related to solution architecture, system design, and integration models. Challenge architectural decisions, including:Core banking and platform selection Integration patterns (APIs, middleware, event streaming) Data architecture and flows Identify risks arising from system dependencies, coupling, and integration complexity. Ensure resilience, scalability, and future-proofing considerations are adequately addressed. Data, AI & Advanced Analytics Risk Oversee risk assessment of data platforms, data pipelines, and analytics solutions. Establish and approve frameworks for AI-related risks, including:Design risk and model deployment risk Data sufficiency and data quality risk Data leakage and privacy risk Compliance with regulatory requirements (SAMA, SDAIA, PDPL). Ensure data integrity across transformations, including migration, mapping, and reconciliation. Validate controls around data governance, lineage, and usage. Dev Ops, Engineering & Release Transformation Risk Oversee risk assessment of Dev Ops adoption, CI/CD pipelines, and engineering practices. Validate controls around:Code quality and peer reviews Deployment automation and configuration management Release governance and approvals Identify risks related to rapid change velocity and insufficient control coverage. Ensure prevention of untested or misconfigured code reaching production. Cloud, Infrastructure & Platform Risk Oversee risk assessment of cloud adoption and infrastructure modernization initiatives. Validate architecture, security dependencies (in coordination with Cyber), and operational risks. Identify risks related to scalability, availability, and vendor dependency. Ensure alignment with regulatory requirements and internal standards. Execution, Delivery & Program Risk Assess risks related to program execution, including:Resource adequacy and skill gaps Vendor dependencies and delivery risks Timeline, scope, and complexity risks Challenge program assumptions and execution strategies. Ensure risks are clearly articulated and escalated through governance forums. Value Realization & ROI Risk Assess risks to expected business value and return on investment from transformation initiatives. Identify gaps between planned outcomes and execution realities. Provide independent insights on value-at-risk arising from delays, design issues, or control weaknesses. Support executive decision-making on prioritization and risk acceptance. Governance Forums & Stakeholder Engagement Represent TRD in strategic governance forums, including Project Review Teams (PRTs), Steering Committees, and executive forums. Engage with CIO, CTO, CDO, and Transformation leadership to provide independent challenge and insights. Influence key decisions through clear articulation of risks and trade-offs. Ensure TRD perspectives are integrated into program governance. Integration with TRD Functions Ensure alignment of transformation risk outputs with Risk Analysis, Governance, and Resilience functions. Provide structured inputs for enterprise risk reporting and dashboards. Ensure traceability of transformation risks across TRD outputs. Collaborate to provide a unified and consistent risk view. Regulatory Compliance & Audit Readiness Ensure transformation risk practices align with SAMA ITGF, NCA, and other regulatory expectations. Support regulatory reviews and audits related to transformation initiatives. Approve responses to regulatory observations related to digital and technology transformation. Ensure defensibility of risk positions and assessments. Continuous Improvement & Capability Development Continuously enhance frameworks and methodologies for transformation risk assessment. Identify emerging risks in new technologies and digital capabilities. Build and develop a team with expertise across architecture, data, cloud, and engineering. Promote forward-looking, proactive risk management practices.<br>Qualifications & Experience:Minimum Qualifications: Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or related field Professional certifications such as CISA, CISM, CGEIT, TOGAF, or equivalent preferred Minimum Experience: 12+ years of experience in technology, digital transformation, or technology risk within banking or financial services Strong experience in large-scale transformation programs (core banking, data, cloud, APIs) Deep understanding of modern technology architectures and delivery models Familiarity with regulatory frameworks (SAMA ITGF, NCA, SDAIA, PDPL) Language: English; Advance
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Seeking an experienced leader to manage and oversee strategic Data & AI initiatives within a government, banking, or enterprise environment.<br> The candidate will lead cross-functional teams, manage project delivery, and drive digital transformation initiatives aligned with business objectives.<br> Key Responsibilities: · Lead and manage Data & AI projects and delivery operations.<br> · Oversee project planning, execution, governance, risks, timelines, and reporting.<br> · Manage multidisciplinary teams including Data Engineers, Data Scientists, Analysts, and Project Managers.<br> · Ensure successful delivery of projects within scope, budget, and quality standards.<br> · Collaborate with executive stakeholders and business leaders to align delivery with strategic goals.<br> · Drive Agile methodologies and modern project delivery practices.<br> · Manage vendors, partners, and external stakeholders.<br> · Support enterprise digital transformation and data-driven initiatives.<br> Qualifications & Experience: · Saudi National.<br> · Bachelor’s degree in Computer Science, IT, Engineering, Data Science, or related field.<br> · 8+ years of experience in Project Management, Data Delivery, AI Programs, or Digital Transformation.<br> · Previous experience within Banking, Government, or Large Enterprise environments is highly preferred.<br> · Strong leadership and stakeholder management experience.<br> · Proven knowledge of Agile frameworks and enterprise project delivery.<br> Certifications: • PMP • PMI-ACP • Scrum Master • SAFe Agile • ITIL Technical Expertise: • Data Platforms & Analytics • AI & Machine Learning Initiatives • Agile Delivery Frameworks • PMO Governance • Digital Transformation • Risk & Vendor Management Core Competencies: • Leadership & Communication • Strategic Thinking • Delivery Management • Problem Solving • Stakeholder Management</span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5">
Preferred candidate </h2>
<div class="row is-m v-align-top t-small bg-mute">
<div class="col is-3 p5" data-automation-id="label_Years_of_experience">
<b>Years of experience</b>
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No experience required </div>
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Bachelor's degree / higher diploma </div>
</div>
Duties And Responsibilities Analytics & Dashboard Development Design, develop, and maintain interactive Power BI dashboards and reports to support clinical, operational, financial, quality, and population health initiatives. Collaborate with stakeholders to gather requirements, translate business needs into analytical solutions, and deliver actionable insights. Utilize SQL, Power Query (M), and DAX to extract, transform, model, and analyze data from multiple hospital systems and databases. Ensure data accuracy and integrity through validation, reconciliation, and documentation of data sources, definitions, and reporting methodologies. Identify trends, performance gaps, and improvement opportunities, providing proactive recommendations to leadership and key stakeholders. Develop user-friendly dashboards with effective visual design, navigation, filtering, and drill-through capabilities to enhance decision-making. Produce KPI reports, ad-hoc analyses, and data-driven recommendations aligned with departmental and organizational objectives. Coordinate with data engineering and IT teams to resolve data quality issues, obtain source-system access, and maintain consistent data definitions. Maintain strict confidentiality of patient, employee, and organizational data in compliance with applicable policies, accreditation standards, and regulations. Perform other related duties as assigned by the Director, Advanced Data Analytics (ADA).<br>Service Desk & User Enablement▪ This responsibility area is a significant component of the role. The proportion of timeallocated to service desk and user enablement varies by Officer assignment and mayrepresent up to 50% of the role for designated Officer slots.▪ Respond to user-submitted service desk tickets related to dashboards, reports, and analytics access — triage, troubleshoot, and resolve within agreed service levels<br><br>Qualifications and Certifications▪ Diploma's degree in a quantitative or analytical field (e.g., Data Science, Computer Science, Information Systems, Engineering, Health Informatics, or equivalent).▪ Healthcare-related background (clinical, public health, health administration, or health informatics) is anadvantage.▪ Relevant certifications in Power BI, data analytics, business intelligence, or healthcare informatics arepreferred but not required.▪Proven experience from 0-4 years as a data analyst preferably in healthcare set-ups▪Good command of English and Arabic<br>Competencies Technical Competencies▪ Strong hands-on experience building dashboards end-to-end in a modern BI platform —Power BI strongly preferred; Tableau, Qlik, Looker, or comparable platforms acceptable forcandidates willing to ramp on Power BI.▪ Working knowledge of SQL — able to read, modify, and write basic-to-intermediate queriesagainst relational databases for data extraction and validation.▪ Advanced Microsoft Excel — pivot tables, lookups, complex formulas, and data modelling.<br>Behavioral & Professional Competencies Strong analytical and problem-solving skills with the ability to work independently, manage ambiguity, and ensure data accuracy. Excellent communication and stakeholder management skills, with a customer-focused approach to supporting and training end users. High level of ownership, collaboration, and adaptability, with the ability to manage multiple priorities and drive continuous improvement.
Role Purpose: Supports deployment, security, and scalability of APS‑based web apps, CCDE integrations, and Smart Data Layer pipelines. Key Responsibilities CI/CD for APS and web applications. Environment management (Dev/Test/Prod). API integration support with ACC and enterprise systems. Monitor performance, security, and availability. Support analytics and reporting pipelines. Tools: Azure Dev Ops, Azure Data Factory, Synapse, Data Lake, API Mgmt, Autodesk Platform Services Experience Relevant Experience: Minimum 5–8 years in cloud / Dev Ops environments Education Background: Bachelor’s degree in: Computer Science, IT or Civil Engineering with good hands-on programming and custom integrations. Certifications (Preferred) Microsoft Azure Certifications (AZ‑104 / AZ‑400) Dev Ops / CI‑CD certifications
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Project Manager (6 11+ Years Experience) Job Title: Project Manager Experience: 6 11+ Years Location: Riyadh, Saudi Arabia Job Summary We are seeking an experienced Project Manager to lead cross-functional teams and successfully deliver technology and business projects. The ideal candidate will have a proven track record of managing project scope, schedules, budgets, risks, stakeholder expectations, and delivery governance while ensuring projects are completed on time, within budget, and aligned with business objectives. Key Responsibilities Lead end-to-end project planning, execution, monitoring, and delivery. Define project scope, objectives, timelines, and resource requirements. Manage project schedules, budgets, risks, issues, dependencies, and change requests. Coordinate with business stakeholders, technical teams, vendors, and leadership. Track project progress and provide regular status reports to stakeholders. Ensure project governance, quality standards, and compliance with organizational processes. Facilitate project meetings, sprint planning, retrospectives, and steering committee updates where applicable. Identify project risks and implement mitigation strategies. Drive continuous process improvements and ensure successful project delivery.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Must Have Skills Experience managing Scope AND Schedule AND Cost AND Risks AND Dependencies AND Reporting AND Stakeholder Communication AND Delivery Governance . Project management methodologies: Agile OR Scrum OR Kanban OR Waterfall OR Hybrid . Project management tools: Jira OR Azure DevOps OR Microsoft Project OR Asana OR Trello OR Monday.com OR Smartsheet . Risk Management AND Issue Management AND Change Management . Budget Management AND Resource Planning AND Capacity Planning . Stakeholder Management AND Executive Communication AND Vendor Management . Project Planning AND Project Execution AND Project Monitoring AND Project Closure . Strong leadership, negotiation, decision-making, conflict resolution, and problem-solving skills. Experience managing multiple concurrent projects and cross-functional teams. Good to Have Skills PM certifications: PMP OR PRINCE2 OR PMI-ACP OR Certified ScrumMaster (CSM) OR SAFe Agilist . Experience with Confluence OR SharePoint OR Microsoft Teams OR Slack . Knowledge of SDLC OR DevOps OR CI/CD practices. Experience with project financial forecasting and reporting. Exposure to cloud-based projects ( AWS OR Azure OR Google Cloud Platform (GCP) ). Familiarity with IT governance and compliance frameworks. Experience working in Agile transformation or digital transformation initiatives. Preferred Qualifications Bachelor's degree in Business, Computer Science, Engineering, Information Technology, or a related field. 6 11 years of experience in project management, preferably in IT or technology-driven environments. Proven ability to deliver projects on time, within scope, and within budget. Excellent communication, stakeholder management, and presentation skills. Ability to lead distributed and cross-functional teams in a fast-paced environment.</p><p></p></section>
Sr. Sales Account Manager – Cybersecurity<br>Company Overview<br>I(TS)² is a Riyadh-based leading Saudi cybersecurity and managed security services provider, supporting government, financial, and private-sector organizations in protecting digital assets and ensuring regulatory compliance. Our portfolio includes SOC, Advisory, Technical Assurance, Solution Deployment, Professional, and Managed Security Services tailored for the Saudi market. Guided by our mission to “Bring Trust to Cyberspace” and vision of “Your Business, Secured” we empower clients with cutting-edge cybersecurity strategies while fostering innovation, collaboration, and continuous learning across our team. Role Overview As a Senior Sales Account Manager, you will drive sales and business growth within a defined territory or industry in Saudi Arabia. You will engage with target customers, understand their cybersecurity and IT needs, and introduce I(TS)²’s solutions to create and expand opportunities. This role requires strategic insight, relationship management, and sales leadership, collaborating with customers, internal teams, and vendor partners to ensure satisfaction, revenue growth, and long-term relationships.<br>Key Responsibilities Develop and execute a comprehensive sales strategy for KSA, targeting C-level executives (CIO/CISO) and driving revenue growth. Manage the entire sales cycle, from prospecting and lead generation to closing deals, including PoCs and tender processes. Identify upsell and cross-sell opportunities across I(TS)² solutions (SOC/MSS, consulting, professional services, training). Build and maintain strong long-term customer relationships as a trusted advisor. Conduct market research and competitor analysis to uncover new business opportunities and align sales plans with objectives. Collaborate with internal teams and vendor partners to ensure seamless delivery and customer satisfaction. Maintain deep knowledge of I(TS)² solutions, value propositions, and cybersecurity market trends. Monitor account performance, prepare plans, forecasts, and reports, and support finance on renewals and SLA compliance. Translate customers’ business needs, regulatory requirements, and cybersecurity challenges into effective solutions.<br>Requirements Degree in Computer Science, Information Systems, Engineering, or related field. Minimum 5–8 years of successful sales experience in Riyadh/KSA in IT networking or cybersecurity solutions. Proven experience in presentations, demonstrations, proposal preparation, and RFP/tender responses. Strong skills in stakeholder management, decision-maker engagement, and CXO-level negotiations. Familiarity with key cybersecurity tools and vendors (Splunk, Fortinet, F5, Palo Alto, etc.). Knowledge of ISMS, BCMS, NCA/SAMA regulations, and cybersecurity frameworks (Zero Trust, SASE, UEBA, XDR, SIEM, SOAR). Experience working with CRM systems to manage leads and opportunities effectively. Excellent communication, presentation, and solutions-selling skills; fluency in English required, Arabic preferred. Customer-focused, collaborative, and able to manage long-term client relationships.<br>Benefits Competitive compensation package. Career growth opportunities within a rapidly expanding cybersecurity company. Access to training, certifications, and professional development programs. Collaborative and supportive work culture with clear career progression pathways.<br>If you’re passionate about cybersecurity innovation and looking to join a forward-thinking organization that values expertise and excellence, we’d love to hear from you.
Position Summary: Infrastructure Engineer works under Project Delivery organization with primary role to support infrastructure-related project activities from design to implementation. He/she will be responsible for sizing/planning, installation, maintenance, and support for On-Premise and/or Cloud environments. Infrastructures include development, prototyping, testing, training, and production environments as applicable for each project. The support includes but not limited to virtualization, segmentation, and firewall / security configuration to ensure reliability, security, and optimized life-cycle performance necessary for installed solutions. Also, Infrastructure Engineer is expected to work with cross-functional delivery teams. Roles & Responsibilities: Manage, configure, and maintain Windows Server environments (Active Directory, DNS, DHCP, Group Policy, IIS). Perform patch management, vulnerability assessment, and remediation across servers Develop installation manuals. Administer and configure firewalls, VPNs, and security policies to protect enterprise networks. Manage software deployment and updates Monitor system performance, troubleshoot incidents, and ensure high availability and disasterrecovery readiness. Implement and enforce IT security best practices, compliance with internal and regulatory standards. Collaborate with security and network teams to address threats, alerts, and vulnerabilities Maintain detailed documentation for system configurations, processes, and troubleshootingsteps. Understanding of network protocols, security principles, and server hardening techniques. Experience with backup/recovery solutions Responsible for maintaining and monitor infrastructure health. Responsible for maintaining and update IT security base line documents. Responsible for setting up Production, Development and QA environments. Qualifications & Requirements:Academic: Bachelor's degree in computer engineering or similar field. Experience: Minimum of 5 Years experience involving infrastructure design and deployment for complex applications. Operating Systems:Experience in Windows and/or Linux (tools like Ubuntu, Redhat, Cent OS, etc.) server OS’s. Virtualization:Experienced in tools such as VMWare / Microsoft Hyper V and KVM. Experienced in virtualization of network, data centers, and storage management. Saudi National. Experienced in cloud migration.