Data Entry Jobs in Saudi

AFCS Consultant. Location: Riyadh, KSAExperience : 5+ Years<br><br>Job Requirements <br>:<br>• Implement and configure Oracle Accounting Foundation Cloud Service (AFCS/OFS AFS) for financial data sourcing, processing, and reporting.• Gather and analyze functional requirements for accounting, finance, and regulatory reporting.• Design and configure data models, ledgers, financial hierarchies, and accounting rules.• Code maintenance and trouble shooting errors• Perform data mapping, ETL validation, and reconciliation between source systems and OFS AFS.• Collaborate with technical teams for integration with upstream/downstream systems (GL, ERP, Risk systems).• Support regulatory and financial reporting requirements (IFRS, GAAP, Basel, etc.).• Lead testing (SIT/UAT), defect resolution, and ensure quality delivery of solutions. Skills:• Strong knowledge of Oracle OFS AFS / Accounting Foundation Cloud Service architecture and modules.• Experience in financial accounting concepts (GL, sub-ledger accounting, IFRS/GAAP standards).• Hands-on in data mapping, data lineage, reconciliation, and financial data processing.• Understanding of ETL processes and integration frameworks.• Strong knowledge of SQL, PLSQL coding• Expertise in functional documentation (BRD, FSD) and business analysis.• Strong problem-solving, stakeholder management, and communication skill<br>s.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><strong>Duties and Responsibilities</strong></p> <p><strong>CDP Strategy &amp; Audience Architecture</strong></p> <ul> <li><p>Lead the implementation, management, and evolution of EWCF's Customer Data Platform</p> </li> <li><p>Own the unification of first-party data across web, app, ticketing, fantasy, merchandise, broadcast, PR, and offline sources</p> </li> <li><p>Define identity resolution logic to connect anonymous and known users into unified 360 audience profiles</p> </li> <li><p>Collaborate with BI and Data Engineering to design ingestion pipelines, data schemas, and audience models</p> </li> <li><p>Establish audience taxonomy, behavioral event tracking standards, and segmentation governance</p> </li> <li><p>Ensure consent, privacy, and data governance compliance aligned with EWCF policies</p> </li> <li><p>Enable real-time and batch audience activation across marketing, digital, and partner platforms</p> </li> <li><p>Act as a business owner for CDP vendor selection, roadmap prioritization, and performance management</p> </li> <li><p>Collect data requirements and manage backlog</p> </li> </ul> <p><strong>CRM Strategy &amp; Lifecycle Management</strong></p> <ul> <li><p>Own the day-to-day management and optimization of EWCF s CRM platforms and marketing automation tools</p> </li> <li><p>Design and maintain lifecycle frameworks (acquisition, engagement, retention, reactivation)</p> </li> <li><p>Develop audience segmentation and automated communication journeys</p> </li> <li><p>Implement CRM use cases across marketing, partnerships, ticketing, and fan engagement</p> </li> <li><p>Optimize lifecycle performance through A/B testing, experimentation, and behavioral insights</p> </li> <li><p>Collect data requirements and manage backlog</p> </li> </ul> <p><strong>Data-Driven Marketing Enablement</strong></p> <ul> <li><p>Translate BI and CDP insights into actionable marketing initiatives</p> </li> <li><p>Enable targeted, personalized, performance-driven campaigns</p> </li> <li><p>Support attribution logic, campaign measurement frameworks, and ROI analysis</p> </li> <li><p>Drive advanced segmentation strategies, including behavioral triggers and lookalike modeling</p> </li> </ul> <p><strong>Reporting, Insights &amp; Optimization</strong></p> <ul> <li><p>Develop and maintain CRM &amp; CDP performance dashboards</p> </li> <li><p>Monitor funnel metrics, audience growth, engagement, and monetization indicators</p> </li> <li><p>Identify optimization opportunities based on behavioral and cohort analysis</p> </li> </ul> <p><strong>Stakeholder Collaboration</strong></p> <ul> <li><p>Act as the central CDP &amp; CRM point of contact across BI, Marketing, Commercial, Digital, and external vendors</p> </li> <li><p>Support senior leadership with audience intelligence and growth insights</p> </li> <li><p>Train and educate relevant teams</p> </li> </ul> <p><strong>Education and Experience</strong></p> <ul> <li><p>Bachelor s degree in Marketing, Business, Data Analytics, Digital Marketing, or equivalent</p> </li> </ul> <p><strong>Knowledge, Skills, and Abilities</strong></p> <p> Proven experience working with CRM &amp; CDP platforms as well as marketing automation tools</p> <p> Strong understanding of CRM/CDP concepts, lifecycle marketing, and audience segmentation</p> <p> Data-driven mindset with the ability to translate insights into actions</p> <p> Experience with CRM/CDP, marketing automation, and analytics platforms</p> <p> Strong analytical, problem-solving, and prioritization skills</p> <p> Excellent communication skills and stakeholder management ability</p> <p> Comfortable operating in fast-paced, cross-functional environments</p> <p> Very good written and verbal communication skills in English</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor s degree in Marketing, Business, Data Analytics, Digital Marketing, or equivalent</p> <p>5+ years of experience in CDP, CRM, data marketing, marketing analytics, or growth roles</p><p></p></section>

Company Description<br><br>Data Volt is a global leader in sustainable and innovative data center solutions. We provide businesses across the world with the infrastructure they need to connect, collaborate, and grow in the data-driven landscape of today. Our solutions focus on security, reliability, scalability, and sustainability, empowering our clients to truly achieve digital transformation. We have strategically positioned operations in Riyadh, Dubai, California, Mumbai and Tashkent and are committed to shaping a sustainable digital future through groundbreaking innovation.<br><br>Responsibilities<br><br>You will lead the legal workstream for Data Volt’s global data center development program, from early-stage structuring and project development through EPC contracting, project finance, commercialization and operations.<br><br>You will be expected to step in and deliver from day one, independently leading complex project, EPC and financing transactions, supervising external counsel, and acting as a key business partner to the projects, finance and commercial teams and also compliance workstreams.<br><br>Act as lead lawyer on strategic data center projects globally, from early development through construction and operation. Structure, draft and negotiate all key project and delivery contracts, including (as relevant) EPC / EPCM / design-build contracts, long-lead equipment supply agreements, O&M agreements, master services agreements (MSAs), colocation / GPUaa S contracts, connectivity and cooling arrangements, and land / real estate documentation. Support and, where required, lead on project finance and structured financing arrangements, working closely with lenders, investors and financial advisers to deliver bankable structures and documentation Support corporate development initiatives (e.g. acquisitions, disposals, platform investments) from term sheet through closing. Draft, review and negotiate complex commercial contracts, including customer agreements, service level agreements, hyperscaler / enterprise contracts, vendor and EPC contracts, and framework / master agreements. Develop and maintain playbooks, fallback positions and standard form templates for key project, EPC and commercial contracts to drive consistency, speed and quality across regions. Ensure that all project documentation appropriately allocates and mitigates construction, performance, availability, technology, and regulatory risks. Identify and manage legal and regulatory issues relating to project development, permitting, land, environmental and planning, as well as data center-specific regulations, data protection and cross-border data considerations (in coordination with specialist colleagues where appropriate). Advise on corporate governance structures for project companies and JV entities, ensuring compliance with applicable laws, regulations and internal policies.<br><br>Experience & Qualifications<br><br>Master’s degree in Law Admission to practice law in at least one major common law or civil law jurisdiction. Minimum 15 years of post-qualification experience in a leading law firm and/or in-house role, with a strong emphasis on: Project Development and Project Finance for infrastructure, energy, data centre's Proven track record of leading complex, cross-border project and financing transactions from term sheet to closing. Experience working on data center, digital infrastructure or telecoms facilities is a strong advantage. Demonstrated experience managing external counsel and leading multidisciplinary deal teams. Prior experience mentoring or managing junior lawyers and contributing to team strategy, with clear potential to step into leadership roles. Strong capability to translate technical and commercial concepts into robust legal terms, and to calibrate risk allocation in line with market standards and Data Volt’s strategy. Deep understanding of Project contracts (GTCs/Colo agreements/offtake contracts/EPCM/O&M, MSAs, connectivity, cooling & power related agreements. Deep understanding of Project finance structures and standard documentation (e.g. common terms agreements, facility agreements, security packages, direct agreements, intercreditor arrangements). Strong capability to translate technical and commercial concepts into robust legal terms, and to calibrate risk allocation in line with market standards and Data Volt’s strategy.

<p>As an AI &amp; Machine Learning Consultant , you will design, develop, and implement Artificial Intelligence (AI) and Machine Learning (ML) solutions that help organizations solve business challenges through advanced analytics, automation, and Generative AI technologies. You will leverage cloud-based AI services, modern engineering practices, and scalable data platforms to deliver innovative, production-ready solutions while supporting the full AI lifecycle from data preparation through model deployment and optimization.</p><p><strong>Key Responsibilities</strong></p><ul><li>Design and develop Artificial Intelligence (AI) and Machine Learning (ML) solutions using cloud-native AI platforms and services.</li><li>Build and maintain scalable data pipelines to support data ingestion, feature engineering, model training, deployment, and production operations.</li><li>Implement DevOps and MLOps practices to automate model development, deployment, monitoring, and lifecycle management.</li><li>Develop, customize, and deploy Deep Learning, Generative AI, and Large Language Model (LLM) solutions to address business and technical requirements.</li><li>Assess business needs, data availability, and infrastructure constraints to recommend and implement AI solutions that deliver measurable outcomes.</li><li>Support AI workloads across cloud environments, edge computing platforms, and High-Performance Computing (HPC) infrastructures.</li><li>Conduct research and experimentation on emerging AI technologies, algorithms, models, and simulation techniques to solve complex business problems.</li><li>Work with large-scale structured and unstructured datasets, applying data cleansing, preprocessing, and feature engineering techniques to improve model performance.</li><li>Implement and maintain efficient data, model, and knowledge storage solutions to support scalable AI applications and retrieval capabilities.</li><li>Collaborate with data engineers, architects, and business stakeholders to design, develop, and deploy enterprise-grade AI solutions.</li><li>Evaluate model performance and communicate the quality, effectiveness, and business value of AI solutions to stakeholders.</li><li>Ensure AI solutions comply with enterprise security, governance, and Responsible AI standards.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>4-7 years of experience in Artificial Intelligence, Machine Learning, Data Science, Data Engineering, Analytics, or related technical fields.</li><li>Hands-on experience designing and deploying AI/ML solutions in enterprise or consulting environments.</li><li>Strong programming skills in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, or equivalent technologies.</li><li>Experience with Deep Learning, Generative AI, Large Language Models (LLMs), and advanced analytics solutions.</li><li>Knowledge of cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform and their AI/ML services.</li><li>Experience building data pipelines and implementing MLOps practices for model deployment and operationalization.</li><li>Strong understanding of data preprocessing, model evaluation, optimization, and performance tuning techniques.</li><li><strong>Preferred Qualifications</strong></li><li>Experience developing and deploying Generative AI, LLM-based applications, and intelligent automation solutions.</li><li>Knowledge of Retrieval-Augmented Generation (RAG), vector databases, embeddings, and AI orchestration frameworks.</li><li>Experience with containerization technologies such as Docker and orchestration platforms such as Kubernetes.</li><li>Familiarity with edge AI deployments, distributed computing environments, and High-Performance Computing (HPC) architectures.</li><li>Experience implementing AI observability, model monitoring, and production support capabilities.</li><li>Strong analytical, problem-solving, and stakeholder management skills.</li><li>Relevant certifications in Artificial Intelligence, Machine Learning, Data Science, Cloud Platforms, or related technologies are preferred.</li></ul>

<p>As an AI &amp; Machine Learning Consultant , you will design, develop, and implement Artificial Intelligence (AI) and Machine Learning (ML) solutions that help organizations unlock business value through advanced analytics and intelligent automation. You will work across the AI development lifecycle, leveraging cloud-based AI services, Generative AI technologies, and scalable data platforms to deliver innovative, production-ready solutions. This role combines technical expertise, problem-solving, and collaboration to accelerate AI adoption and drive business outcomes.</p><p>Key Responsibilities</p><ul><li>Design and develop AI and Machine Learning solutions using cloud-native AI platforms, services, and modern development frameworks.</li><li>Build and maintain scalable data pipelines to support data ingestion, model training, deployment, monitoring, and production operations.</li><li>Apply DevOps and MLOps practices to automate and optimize model development, deployment, versioning, and lifecycle management.</li><li>Develop, customize, and deploy Deep Learning, Generative AI, and Large Language Model (LLM) solutions tailored to business requirements.</li><li>Assess business needs, data availability, and infrastructure requirements to recommend and implement effective AI solutions.</li><li>Support AI deployments across cloud environments, edge computing platforms, and High-Performance Computing (HPC) infrastructures where applicable.</li><li>Conduct research and experimentation on emerging AI technologies, algorithms, simulation techniques, and advanced analytical methods.</li><li>Work with large-scale structured and unstructured datasets, applying data cleansing, preprocessing, and feature engineering techniques to improve model performance.</li><li>Design and maintain efficient data, model, and knowledge storage solutions that enable scalable AI applications and retrieval capabilities.</li><li>Collaborate with data engineers, solution architects, and business stakeholders to design and deliver enterprise-grade AI solutions.</li><li>Evaluate model performance and communicate solution quality, scalability, and business value through measurable outcomes.</li><li>Ensure AI solutions adhere to security, governance, compliance, and Responsible AI standards.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>4-7 years of experience in Artificial Intelligence, Machine Learning, Data Science, Analytics, Data Engineering, or related technical disciplines.</li><li>Hands-on experience developing, testing, and deploying AI/ML solutions in enterprise environments.</li><li>Strong programming skills in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, or equivalent technologies.</li><li>Experience working with Deep Learning, Generative AI, Large Language Models (LLMs), and advanced analytics techniques.</li><li>Knowledge of cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform and their AI/ML services.</li><li>Experience building scalable data pipelines and supporting MLOps practices for model deployment and operations.</li><li>Strong understanding of data preprocessing, feature engineering, model evaluation, and performance optimization methodologies.</li><li>Experience developing and deploying Generative AI, LLM-based applications, and intelligent automation solutions.</li><li>Knowledge of Retrieval-Augmented Generation (RAG), vector databases, embeddings, and AI orchestration frameworks.</li><li>Experience with containerization technologies such as Docker and orchestration platforms such as Kubernetes.</li><li>Familiarity with edge AI deployments, distributed computing architectures, and High-Performance Computing (HPC) environments.</li><li>Experience implementing model monitoring, observability, and production support processes.</li><li>Strong analytical thinking, problem-solving, and stakeholder management skills.</li><li>Relevant certifications in Artificial Intelligence, Machine Learning, Data Science, Data Engineering, or Cloud Technologies are preferred.</li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system. In this role, as an AI Pilot that s how we refer to this role at Mindrift you ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.</p><p>What We Do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. This is a freelance role for a Tendem project.</p><p>As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p><p>Key Responsibilities:</p><ul><li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li><li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li><li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li><li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li><li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</p><p>Bachelor s or Master s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.</p><p>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.</p><p>We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.</p><p>A methodical, detail-oriented approach and the ability to work independently are essential.</p><p>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies</p><p>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)</p><p>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)</p><p>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale</p><p>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows</p><p>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks</p><p>Strong attention to detail and commitment to data accuracy</p><p>Self-directed work ethic with ability to troubleshoot independently</p><p>A link to GitHub is a plus</p><p>English proficiency: Upper-intermediate (B2) or above (required)</p><p></p></section>

<p>Jasara Program Management Company (Jasara PMC) is a leading Joint Venture between Public Investment Fund (PIF), Jacobs, and Saudi Aramco, established to deliver world-class program management services across the Kingdom of Saudi Arabia. Jasara plays a key role in supporting the realization of Saudi Vision 2030, particularly in delivering giga-projects and large-scale infrastructure developments. We are seeking an SAP-EAMS Director to join JASARA PMC. This role will lead enterprise asset management systems, SAP EAMS readiness and asset data governance, working across City Operations, City AM, Asset Class BUs and O&amp;M teams to create a trusted single source of asset information. The Enterprise Asset Management Director is accountable for leading the city s enterprise asset management systems, asset information governance and SAP EAMS preparation within the City Asset Management organisation. The role works closely with City Operations, the wider AM team, Asset Class BUs, O&amp;M teams, handover, digital, finance and governance functions to ensure asset information, operational requirements and AM standards are aligned across the city operating model from an AM point of view. The position acts as the business owner for SAP EAMS design decisions, data migration standards, process integration and reporting requirements, ensuring the platform enables reliable operations, lifecycle planning, maintenance delivery, service-quality monitoring and investment decision-making. It embeds the AM data model, workflows, KPIs and reporting framework so City Operations, portfolios and O&amp;M teams have one trusted source of asset information and a consistent approach to asset performance, lifecycle and renewals planning.</p><p><strong>Key Responsibilities</strong></p><ol><li><strong>Enterprise AM Systems Strategy and Governance</strong> Define and maintain the enterprise asset management systems strategy, roadmap, governance framework and operating model for City AM and City Operations. Act as business owner for SAP EAMS design decisions, ensuring system configuration reflects approved AM policies, lifecycle processes, service-quality standards, operational requirements and governance controls. Align AM systems, asset data standards and reporting outputs with portfolio priorities, asset intersections and operational requirements that support integrated city planning. Establish clear decision rights, escalation routes and accountabilities across City AM, City Operations, O&amp;M, Asset Class BUs, Digital, Finance, Procurement, Handover and governance teams. Lead standards for asset information ownership, configuration control, system access, master data stewardship and change control. Provide executive advice, options, risks, cost implications and recommendations on enterprise AM systems, data quality, SAP EAMS readiness and city-wide AM integration.</li><li><strong>SAP EAMS Preparation, Cut-over and Integration</strong> Lead business preparation and cut-over to SAP EAMS, including readiness planning, business acceptance criteria, cut-over sequencing, issue management and early-life support arrangements. Define business requirements for SAP EAMS configuration, workflows, asset structures, maintenance processes, user roles, dashboards and reporting outputs. Set data migration standards, validation rules, reconciliation controls and sign-off processes for asset master data, hierarchy, location, ownership, condition, performance, maintenance and lifecycle information. Ensure SAP EAMS integrates with existing AM processes, City Operations dashboards, portfolio reporting, handover controls, maintenance planning, finance inputs and operational support requirements. Embed data and workflow requirements needed to support business-as-usual AM changes, capacity increases, readiness impacts, commercialisation inputs and service-charge information for relevant assets. Coordinate design reviews, user acceptance testing, mock cut-overs, defect resolution and go-live readiness decisions with Digital, City Operations and implementation partners.</li><li><strong>AM Data Model, Asset Register and Information Standards</strong> Define and embed the enterprise AM data model, including asset classification, hierarchy, location structure, ownership attributes, criticality, condition, lifecycle status and maintenance master data. Own the standards for the central asset register so asset information is accurate, complete, consistent and usable across districts, portfolios, systems and asset types. Establish data quality controls, validation checks, cleansing routines, reconciliation processes and exception reporting to identify and resolve data gaps. Ensure asset data requirements are embedded into handover, adoption, acceptance and configuration management processes. Lead audits, assurance reviews and governance reporting on asset information quality, system compliance and register completeness.</li><li><br></li></ol><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Engineering, Asset Management, Information Systems, Operations Management, Facilities Management, Business Administration or a related discipline.</li><li>Master's degree in a relevant discipline is preferred.</li><li>Professional certification or membership in asset management, project management, data governance, SAP EAM or information management is desirable.</li><li>Minimum 15 years of progressive experience in asset management, enterprise asset systems, asset data governance, maintenance management, facilities management, infrastructure operations or digital transformation, including at least 7 years in senior leadership roles.</li><li>Proven experience leading SAP EAM, SAP PM, EAMS, CMMS or comparable enterprise asset management system implementations, migrations, optimisation or operational adoption.</li><li>Demonstrable experience defining asset data models, asset registers, classification structures, hierarchies, workflows, KPIs, dashboards and reporting standards.</li><li>Strong understanding of asset lifecycle management, maintenance planning, handover, configuration management, data quality, governance and operational readiness.</li><li>Experience managing cross-functional teams, implementation partners, consultants and operational stakeholders in complex multi-asset environments.</li><li>Experience in public sector, infrastructure, city operations, giga-projects, facilities management, utilities, transport, real estate or major destination environments is strongly preferred.</li><li>Leadership background in enterprise asset management, SAP EAM/SAP PM, CMMS/EAMS implementation, asset information management or maintenance transformation.</li><li>Practical exposure to ISO 55000-aligned asset management, data governance, operational readiness, handover and lifecycle planning is desirable.</li><li>Experience working across business, digital, operations, finance, procurement and governance teams to turn system design into adopted operating practice.</li><li>SAP EAMS, SAP PM, CMMS/EAMS configuration principles, migration planning, user acceptance testing, cut-over and hypercare.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>On behalf of our client, we are seeking an experienced Data Solutions Architect to join their team in Riyadh. The role is responsible for designing and leading the implementation of an on-premises Data Lakehouse on Cloudera CDP 7.3.1, covering platform, data, integration, security, governance, and serving architecture. The position will define the target architecture, establish Medallion and Lambda Architecture patterns, and combine batch and streaming data paths with a unified serving layer. The role will also architect a Rules Engine for business validations and transformations and establish a comprehensive Data Governance layer covering security, lineage, quality, compliance, and operational readiness. Responsibilities: Lead HLD and LLD for the Lakehouse, covering HDFS/Ozone, YARN, Hive 3/Impala, Spark, Kafka/NiFi, Ranger, Atlas, Knox, KMS, and HMS with HA. Define storage and compute topology, cluster sizing, multi-environment architecture, and network zones. Design perimeter security using Knox and TLS. Establish Bronze, Silver, and Gold standards, including naming, data contracts, partitioning, data quality checkpoints, schema evolution, retention, and recovery patterns. Align serving models for BI and analytics using Impala and Phoenix. Design batch pipelines using Informatica BDM, Spark, and Hive. Design speed and streaming paths using NiFi, Kafka, Hudi, Kudu, HBase, and Phoenix. Define the convergence and serving of batch and streaming outputs into governed data stores. Architect a declarative Rules Engine covering validations, standardization, derivations, survivorship, consent/PII handling, and SLA routing. Ensure rules are metadata-driven, versioned, testable, and CI/CD integrated. Implement data governance using Ranger and Atlas, including policies, masking, classifications, lineage, and glossary management. Define data lifecycle, retention, legal holds, PII/PCI/SOX requirements, and audit trails. Establish CI/CD for infrastructure, schemas, table evolution, rules packs, and ETL deployments. Build SLA dashboards, alerts, runbooks, and observability processes. Architect disaster recovery and business continuity using BDR/Replication Manager and replication strategies. Partner with Domain SMEs, Platform Administrators, Security, and Compliance teams. Lead Architecture Review Boards and mentor developers and data engineering teams. Requirements 10+ years of experience in data architecture/engineering. Bachelor’s or Master’s in Computer Science, Engineering, or related field or equivalent experience. 3–5+ years of experience architecting on Cloudera CDH/CDP in production. Proven experience delivering on-premises Lakehouse environments using Medallion and Lambda architectures. Strong understanding of industry standards and best practices in Data Engineering. Good understanding of Informatica DEI suite for framework/pattern design and pushdown to Spark/Hive. Deep practical exposure to Apache Iceberg, Apache Hudi, Apache Kudu, HBase, Phoenix, Hive 3, and Impala. Strong SQL expertise, including windowing, partitioning, MERGE/UPSERT, and cost-based tuning. Strong Impala/Phoenix performance tuning experience. Experience with Kerberos, TLS, AD/LDAP, Ranger policies, Atlas lineage/glossary, and SDX concepts. Experience designing metadata-driven Rules Engines and data quality frameworks for both batch and streaming environments. Solid Linux fundamentals. Experience with Git and CI/CD. Strong documentation and stakeholder communication skills. Experience with Kafka patterns and CDC from RDBMS is preferred. Familiarity with Ozone, KMS/Key Trustee, and air-gapped deployments is preferred. SRE experience, including SLOs, error budgets, RCA, and disaster recovery exercises, is preferred. Cloudera CDP, Informatica, and Security certifications are a plus. Regulatory experience in PII/PCI/SOX/GDPR environments is preferred.</p> </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> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About the Forward Deployed Data Scientist Expert Role at SAP</h3> <p style="margin:0 0 12px; ************;">SAP is seeking a <strong style="font-weight:700;">Forward Deployed Data Scientist Expert</strong> to join its team in Riyadh, Saudi Arabia. This full-time position involves designing, developing, and applying advanced data science, statistical, and machine learning methods to address complex, business-critical problems within customer environments.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Role Context and Impact</h3> <p style="margin:0 0 12px; ************;">The Data Scientist Expert will be embedded directly within customer environments and fast-moving delivery teams. The primary objective is to translate strategic and operational challenges into rigorous analytical solutions efficiently. This role requires close collaboration with customers to deliver scalable, enterprise-grade outcomes that generate measurable business value. Accountability for the quality, impact, and delivery of complex analytical initiatives is central, requiring the ability to act as a subject-matter expert, manage ambiguity, and ensure data-driven solutions are robust, reliable, and aligned with business objectives.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key Responsibilities</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Transform complex business challenges into data-driven intelligence by identifying high-value problems, framing them analytically, and engineering robust features and insights.</li> <li style="margin:0 0 6px;">Design, develop, train, and implement mathematical models, algorithms, and machine learning solutions for complex business problems.</li> <li style="margin:0 0 6px;">Apply advanced techniques across exploratory analysis, statistical modeling, experimentation, forecasting, segmentation, anomaly detection, causal analysis, and machine learning.</li> <li style="margin:0 0 6px;">Integrate analytical and machine learning solutions into products, prototypes, or business processes, ensuring enterprise-grade scalability and robustness.</li> <li style="margin:0 0 6px;">Define success metrics, quantify business impact, and translate analytical results into clear, actionable recommendations for decision-makers.</li> <li style="margin:0 0 6px;">Lead or manage complex analytical workstreams or projects, including deliverables, milestones, risks, and escalations.</li> <li style="margin:0 0 6px;">Communicate insights, trade-offs, and recommendations effectively to cross-functional teams and customer stakeholders, influencing decisions through evidence and expertise.</li> <li style="margin:0 0 6px;">Work in an embedded, customer-facing setup, collaborating closely with customer teams to understand their data, applications, and business context for co-developing impactful data and AI-driven solutions.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Qualifications and Skills</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Expert-level proficiency in data science and machine learning, with the ability to design, validate, and optimize end-to-end analytical and ML solutions.</li> <li style="margin:0 0 6px;">Deep applied knowledge of statistics and experimentation, including hypothesis testing, experimental design, causal inference, and uncertainty interpretation.</li> <li style="margin:0 0 6px;">Proven experience applying a wide range of ML techniques, balancing accuracy, robustness, interpretability, and usability at scale.</li> <li style="margin:0 0 6px;">Strong capability to translate ambiguous business questions into measurable analytical problems and connect model outputs to commercial, operational, or strategic decisions.</li> <li style="margin:0 0 6px;">Experience delivering production-ready analytics and ML systems on modern data platforms, with a focus on data quality, governance, and reusability.</li> <li style="margin:0 0 6px;">Ability to operate effectively in an Agentic AI context, contributing to the design, application, and responsible use of AI agents within complex business processes.</li> <li style="margin:0 0 6px;">Advanced communication and collaboration skills, with the ability to influence senior stakeholders through clear data narratives and executive-ready insights.</li> <li style="margin:0 0 6px;">Proactive use of AI in everyday workflows, ensuring high-quality outputs through thoughtful context design and system integration.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Team and Work Environment</h3> <p style="margin:0 0 12px; ************;">This role is part of a growing AI and industry expert team dedicated to serving customers across the Americas, Europe, and Asia. The team combines deep AI expertise, strong industry knowledge, and regional understanding to support customers in innovation and market leadership. The role involves working closely with decision-makers, challenging assumptions with data, and influencing strategy through data science contributions.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About SAP</h3> <p style="margin:0 0 12px; ************;">At SAP, we believe in fostering the best in our people. As builders impacting over 20 industries and 80% of global commerce, SAP seeks individuals to help shape future developments. The work is challenging yet meaningful, offering an environment for personal growth, wellbeing, and belonging, supported by continuous learning and a dedicated team.</p>

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About the Role</h3> <p style="margin:0 0 12px; ************;">Bupa Arabia is seeking a <strong style="font-weight:700;">Senior Executive Manager - Cybersecurity GRC &amp; Data Protection</strong> to lead the daily operations of its Cyber Security Governance, Risk &amp; Compliance unit. This full-time position is based in <strong style="font-weight:700;">Jeddah</strong> and is central to ensuring robust cybersecurity frameworks and data protection practices across the organization.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key Responsibilities: Cybersecurity Governance</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Develop and maintain a comprehensive cybersecurity governance program.</li> <li style="margin:0 0 6px;">Document quality governance processes for Cyber initiatives, Business As Usual (BAU) operations, policies/standards, and contracts.</li> <li style="margin:0 0 6px;">Ensure processes are aligned with clear objectives and include defined oversight and review frequencies.</li> <li style="margin:0 0 6px;">Review and document RASCI (Responsible, Accountable, Consulted, Informed) matrices for all processes.</li> <li style="margin:0 0 6px;">Establish and ensure a continuous improvement cycle for all governance processes.</li> <li style="margin:0 0 6px;">Demonstrate and establish the value of the governance structure and processes within the organization.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key Responsibilities: Risk Management and Compliance</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Design and implement an effective Cyber Security risk management process.</li> <li style="margin:0 0 6px;">Analyze current risks and identify potential risks that could affect Bupa Arabia.</li> <li style="margin:0 0 6px;">Evaluate the company’s previous handling of risks and compare potential risks against company criteria, including costs and legal requirements.</li> <li style="margin:0 0 6px;">Provide risk reporting tailored to the relevant audience, ensuring the board of directors is educated, business heads understand departmental risks, and individuals comprehend their accountability for specific risks.</li> <li style="margin:0 0 6px;">Explain external risks posed by Bupa Arabia to stakeholders.</li> <li style="margin:0 0 6px;">Design and implement a third-party risk operating model to identify, evaluate, and provide solutions for complex business and technology risks.</li> <li style="margin:0 0 6px;">Identify and address key third-party related risks and areas of concern associated with new and existing third-party relationships.</li> <li style="margin:0 0 6px;">Monitor Key Performance Indicators (KPIs) and Key Risk Indicators (KRIs) for appropriate escalation to stakeholders.</li> <li style="margin:0 0 6px;">Develop a Third-Party Risk Management (TPRM) dashboard to highlight key program metrics and statistics, such as third-party portfolio risk, cyber security incidents, and program efficiencies.</li> <li style="margin:0 0 6px;">Maintain a comprehensive list of all legal and regulatory compliance requirements.</li> <li style="margin:0 0 6px;">Ensure periodic assessment of the efficiency of Cyber Security control systems and recommend effective improvements.</li> <li style="margin:0 0 6px;">Oversee the review and evaluation of Cyber Security procedures to identify hidden risks or common issues.</li> <li style="margin:0 0 6px;">Coordinate with various departments to review their respective compliance with Cyber Security Policies.</li> <li style="margin:0 0 6px;">Ensure the implementation of a program to perform periodic reviews on company procedures and processes.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key Responsibilities: Data Protection</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Act as the Data Privacy Officer (DPO), ensuring Bupa Arabia processes personal data of staff, beneficiaries, providers, and other individuals in compliance with applicable KSA data privacy regulations.</li> <li style="margin:0 0 6px;">Identify personal data schemes and applicable privacy laws and regulations.</li> <li style="margin:0 0 6px;">Identify and analyze privacy risks relevant to the privacy ecosystem.</li> <li style="margin:0 0 6px;">Develop a data privacy mitigation plan to address identified privacy risks.</li> <li style="margin:0 0 6px;">Monitor the proper implementation of the mitigation plan in collaboration with other business units.</li> <li style="margin:0 0 6px;">Monitor compliance with the KSA Personal Data Protection Law (PDPL) and other data protection laws.</li> <li style="margin:0 0 6px;">Advise the Data Controller or Data Processor and their employees about their obligations to comply with the KSA PDPL and other data protection laws.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Candidate Profile</h3> <p style="margin:0 0 12px; ************;">The ideal candidate will bring extensive experience in the field. Applicants must have <strong style="font-weight:700;">over 10 years of relevant experience</strong> in cybersecurity governance, risk, compliance, and data protection management.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Work Setting</h3> <p style="margin:0 0 12px; ************;">This is a <strong style="font-weight:700;">full-time opportunity</strong> based in <strong style="font-weight:700;">Jeddah</strong>, offering a pivotal role in strengthening Bupa Arabia's security posture.</p>

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About the Role</h3> <p style="margin:0 0 12px; ************;">Alandalus Education is seeking a <strong style="font-weight:700;">Strategic Performance &amp; Business Intelligence Analyst</strong> to join its Strategy Department. This full-time role, based in Jeddah, Makkah, Saudi Arabia, is crucial for driving informed decision-making and enhancing performance efficiency across the organization and its various branches.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Role Purpose</h3> <p style="margin:0 0 12px; ************;">The successful candidate will leverage practical experience in strategic planning, corporate performance management, data analysis, and business intelligence. This position involves developing and managing the performance metrics system, analyzing operational and strategic data, and transforming complex data into actionable insights and recommendations that support strategy execution and organizational performance measurement.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key Responsibilities</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Develop and monitor the Key Performance Indicators (KPIs) framework and the Balanced Scorecard.</li> <li style="margin:0 0 6px;">Monitor departmental and branch performance, analyzing deviations from set targets.</li> <li style="margin:0 0 6px;">Support the preparation and ongoing monitoring of strategic and operational plans.</li> <li style="margin:0 0 6px;">Prepare periodic reports and executive presentations on organizational performance for executive management, committees, and the Board of Directors.</li> <li style="margin:0 0 6px;">Collect data from diverse systems and platforms, ensuring its quality and accuracy.</li> <li style="margin:0 0 6px;">Design and develop interactive business intelligence dashboards.</li> <li style="margin:0 0 6px;">Analyze data to identify trends, derive insights, and formulate recommendations that support strategic decision-making.</li> <li style="margin:0 0 6px;">Develop automated reports and enhance the efficiency of data collection and reporting processes.</li> <li style="margin:0 0 6px;">Conduct benchmarking and performance analysis across various branches and departments.</li> <li style="margin:0 0 6px;">Contribute to the development of organizational performance management tools and platforms.</li> <li style="margin:0 0 6px;">Assess departmental needs and translate them into specific analytical requirements, reports, and dashboards.</li> <li style="margin:0 0 6px;">Support digital transformation projects related to organizational performance, leveraging artificial intelligence and automation tools for improved reporting and data analysis.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Qualifications and Experience</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Bachelor’s degree in Business Administration, Management Information Systems, Data Science, Statistics, Economics, or a related field.</li> <li style="margin:0 0 6px;">At least <strong style="font-weight:700;">3–5 years of experience</strong> in strategic planning, organizational performance management, business intelligence, data analysis, or business analysis.</li> <li style="margin:0 0 6px;">Certified KPI Professional (CKP) or Certified KPI Practitioner (CKP) certification.</li> <li style="margin:0 0 6px;">Proven experience in developing strategic plans or monitoring their implementation.</li> <li style="margin:0 0 6px;">Demonstrated experience in developing and managing Key Performance Indicators (KPIs) and Balanced Scorecards.</li> <li style="margin:0 0 6px;">Experience in preparing professional reports and executive presentations for senior management, committees, and the board of directors.</li> <li style="margin:0 0 6px;">Ability to transform data into strategic insights that support decision-making.</li> <li style="margin:0 0 6px;">Fluency in both Arabic and English, spoken and written, with the ability to prepare professional reports and executive presentations in both languages.</li> <li style="margin:0 0 6px;">Advanced skills in Microsoft Excel and PowerPoint.</li> <li style="margin:0 0 6px;">Advanced experience with Power BI and other business intelligence tools.</li> <li style="margin:0 0 6px;">Good knowledge of databases and SQL.</li> <li style="margin:0 0 6px;">Experience using digital platforms and enterprise performance management systems, with the ability to leverage technology for monitoring and reporting efficiency.</li> <li style="margin:0 0 6px;">Experience in multi-branch organizations or the education sector is preferred.</li> <li style="margin:0 0 6px;"><em style="font-style:italic;">Preferred Certifications:</em> Balanced Scorecard Professional (BSP), Microsoft Power BI Data Analyst Associate, or professional certifications in Business Analysis or Business Intelligence.</li> <li style="margin:0 0 6px;"><em style="font-style:italic;">Preferred Experience:</em> With ERP systems and enterprise performance management platforms.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Skills and Competencies</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Strong strategic and analytical thinking capabilities.</li> <li style="margin:0 0 6px;">Ability to effectively transform data into actionable information and insights.</li> <li style="margin:0 0 6px;">Excellent skills in preparing professional reports and executive presentations.</li> <li style="margin:0 0 6px;">Robust business analysis skills and a clear understanding of departmental needs.</li> <li style="margin:0 0 6px;">Proficiency in handling and accurately analyzing large volumes of data.</li> <li style="margin:0 0 6px;">Exceptional communication, presentation, and coordination skills with various stakeholders.</li> <li style="margin:0 0 6px;">Proficiency in using digital technologies, platforms, and artificial intelligence tools to support data analysis and reporting.</li> <li style="margin:0 0 6px;">Ability to manage multiple projects and requirements simultaneously and work effectively independently.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Work Environment and Location</h3> <p style="margin:0 0 12px; ************;">This full-time position is based within Alandalus Education's Strategy Department in Jeddah, Makkah, Saudi Arabia, operating within a dynamic multi-branch educational organization.</p>

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About the Role</h3> <p style="margin:0 0 12px; ************;">Alandalus Education is seeking a <strong style="font-weight:700;">Strategic Performance &amp; Business Intelligence Analyst</strong> to join its Strategy Department. This full-time role, based in Jeddah, Makkah, Saudi Arabia, is crucial for driving informed decision-making and enhancing performance efficiency across the organization and its various branches.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Role Purpose</h3> <p style="margin:0 0 12px; ************;">The successful candidate will leverage practical experience in strategic planning, corporate performance management, data analysis, and business intelligence. This position involves developing and managing the performance metrics system, analyzing operational and strategic data, and transforming complex data into actionable insights and recommendations that support strategy execution and organizational performance measurement.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key Responsibilities</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Develop and monitor the Key Performance Indicators (KPIs) framework and the Balanced Scorecard.</li> <li style="margin:0 0 6px;">Monitor departmental and branch performance, analyzing deviations from set targets.</li> <li style="margin:0 0 6px;">Support the preparation and ongoing monitoring of strategic and operational plans.</li> <li style="margin:0 0 6px;">Prepare periodic reports and executive presentations on organizational performance for executive management, committees, and the Board of Directors.</li> <li style="margin:0 0 6px;">Collect data from diverse systems and platforms, ensuring its quality and accuracy.</li> <li style="margin:0 0 6px;">Design and develop interactive business intelligence dashboards.</li> <li style="margin:0 0 6px;">Analyze data to identify trends, derive insights, and formulate recommendations that support strategic decision-making.</li> <li style="margin:0 0 6px;">Develop automated reports and enhance the efficiency of data collection and reporting processes.</li> <li style="margin:0 0 6px;">Conduct benchmarking and performance analysis across various branches and departments.</li> <li style="margin:0 0 6px;">Contribute to the development of organizational performance management tools and platforms.</li> <li style="margin:0 0 6px;">Assess departmental needs and translate them into specific analytical requirements, reports, and dashboards.</li> <li style="margin:0 0 6px;">Support digital transformation projects related to organizational performance, leveraging artificial intelligence and automation tools for improved reporting and data analysis.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Qualifications and Experience</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Bachelor’s degree in Business Administration, Management Information Systems, Data Science, Statistics, Economics, or a related field.</li> <li style="margin:0 0 6px;">At least <strong style="font-weight:700;">3–5 years of experience</strong> in strategic planning, organizational performance management, business intelligence, data analysis, or business analysis.</li> <li style="margin:0 0 6px;">Certified KPI Professional (CKP) or Certified KPI Practitioner (CKP) certification.</li> <li style="margin:0 0 6px;">Proven experience in developing strategic plans or monitoring their implementation.</li> <li style="margin:0 0 6px;">Demonstrated experience in developing and managing Key Performance Indicators (KPIs) and Balanced Scorecards.</li> <li style="margin:0 0 6px;">Experience in preparing professional reports and executive presentations for senior management, committees, and the board of directors.</li> <li style="margin:0 0 6px;">Ability to transform data into strategic insights that support decision-making.</li> <li style="margin:0 0 6px;">Fluency in both Arabic and English, spoken and written, with the ability to prepare professional reports and executive presentations in both languages.</li> <li style="margin:0 0 6px;">Advanced skills in Microsoft Excel and PowerPoint.</li> <li style="margin:0 0 6px;">Advanced experience with Power BI and other business intelligence tools.</li> <li style="margin:0 0 6px;">Good knowledge of databases and SQL.</li> <li style="margin:0 0 6px;">Experience using digital platforms and enterprise performance management systems, with the ability to leverage technology for monitoring and reporting efficiency.</li> <li style="margin:0 0 6px;">Experience in multi-branch organizations or the education sector is preferred.</li> <li style="margin:0 0 6px;"><em style="font-style:italic;">Preferred Certifications:</em> Balanced Scorecard Professional (BSP), Microsoft Power BI Data Analyst Associate, or professional certifications in Business Analysis or Business Intelligence.</li> <li style="margin:0 0 6px;"><em style="font-style:italic;">Preferred Experience:</em> With ERP systems and enterprise performance management platforms.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Skills and Competencies</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Strong strategic and analytical thinking capabilities.</li> <li style="margin:0 0 6px;">Ability to effectively transform data into actionable information and insights.</li> <li style="margin:0 0 6px;">Excellent skills in preparing professional reports and executive presentations.</li> <li style="margin:0 0 6px;">Robust business analysis skills and a clear understanding of departmental needs.</li> <li style="margin:0 0 6px;">Proficiency in handling and accurately analyzing large volumes of data.</li> <li style="margin:0 0 6px;">Exceptional communication, presentation, and coordination skills with various stakeholders.</li> <li style="margin:0 0 6px;">Proficiency in using digital technologies, platforms, and artificial intelligence tools to support data analysis and reporting.</li> <li style="margin:0 0 6px;">Ability to manage multiple projects and requirements simultaneously and work effectively independently.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Work Environment and Location</h3> <p style="margin:0 0 12px; ************;">This full-time position is based within Alandalus Education's Strategy Department in Jeddah, Makkah, Saudi Arabia, operating within a dynamic multi-branch educational organization.</p>

Job Description<br><br>Job Title: Document Reviewer<br><br>Job Type: Contract<br><br>Location: Remote<br><br>Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.<br><br>Key Responsibilities<br><br>Carefully review large volumes of structured and unstructured data, ensuring accuracy and completeness. Identify and flag issues related to data quality, consistency, and potential risks involving Personal Identifiable Information (PII). Annotate, classify, and, where necessary, redact sensitive information to maintain privacy and compliance standards. Follow strict guidelines, taxonomies, and workflow processes for data categorization and validation. Perform quality assurance (QA) checks to verify data integrity and validate outputs. Maintain detailed records of reviewed documents and actions taken to ensure traceability and accountability. Collaborate with the customer's team, providing clear and concise written and verbal communication about findings and recommendations.<br><br>Required Skills And Qualifications<br><br>Proven experience in document review, auditing, annotation, redaction, or data classification at scale. Exceptional attention to detail with a high level of accuracy in repetitive tasks. Familiarity with handling and protecting Personal Identifiable Information (PII). Strong written and verbal communication skills, with the ability to document findings and communicate effectively with team members. Demonstrated ability to follow complex guidelines and adhere to established taxonomies. Experience performing QA or validation work on large data sets. Ability to balance efficiency with precision in a remote work environment.<br><br>Preferred Qualifications<br><br>Background in legal, compliance, privacy, auditing, compliance or information security domains. Prior experience supporting data-driven AI or machine learning projects. Comfort with collaboration tools and digital workflow management platforms.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong><span>Master Data Officer | Saudi Arabia, Riyadh </span></strong></p><br><br> <br> <p><strong><span>The Company:</span></strong></p><br><br> <br> <p><span>Founded in 1977, Almarai Company is the world’s largest vertically integrated dairy company and the largest food and beverage manufacturing and distribution company in MENA. Headquartered in Riyadh, Almarai Company is ranked as the number one FMCG Brand in the MENA region and the market leader in all its categories across GCC, Egypt, and Jordan.</span></p><br><br> <p><span>Over five decades of sustainable growth, Almarai has consistently provided nutritious and healthy products to consumers of all ages, driven by its core principle: “Quality you can trust.”</span></p><br><br> <p><span>Almarai has expanded its product range to include, in addition to dairy products, juices and beverages, baked goods, poultry, infant formula, dates, fish and seafood, and bottled water, under more than 20 brands such as Almarai, L’usine, 7DAYS, ALYOUM, Nuralac, Farm’s Select, Ice Leaf, Almira, Seama, Oska, IVAL, Almara Pro, Premier Chef, Bakemart, and others. </span></p><br><br> <p><span>Almarai currently employs over 43,000 Quality Makers, across the GCC, Egypt &amp; Jordan. </span></p><br><br> <p><span>In 2025, Almarai reported net income of SAR 2.4 billion on sales of SAR 22 billion.</span></p><br><br> <br> <p><strong><span>About the role:</span></strong></p><br><br> <p><span>Maintain accurate and consistent SAP master data in line with service level agreements (SLAs) and business requirements. Identify opportunities for process improvement, implement master data updates, and provide end-user training to ensure effective SAP utilization.</span></p><br><br> <br> <p><span><strong>Key responsibilities:&nbsp;</strong></span></p><br><br> <ul> <li><strong><span>Create, maintain, and update SAP master data</span></strong><span> in accordance with requests received from authorized data providers. </span></li> <li><strong><span>Review and enhance master data procedures and standards</span></strong><span> to ensure data accuracy, consistency, and quality across all business processes. </span></li> <li><strong><span>identify opportunities for continuous improvement</span></strong><span> within master data management and implement changes that maximize business value and system effectiveness. </span></li> <li><strong><span>Collaborate with end users and data providers</span></strong><span> to ensure the accurate collection, maintenance, and optimization of master data for assigned business objects. </span></li> <li><strong><span>Work closely with cross-functional teams and business initiatives</span></strong><span> to support operational excellence and overall business performance. </span></li> <li><strong><span>Ensure compliance with SAP change management procedures</span></strong><span> and maintain strict control over master data updates to prevent unauthorized changes.</span></li> </ul> <br> <br> <p><strong><span>Requirements:</span></strong></p><br><br> <ul> <li><span>Diploma qualification in a related field. </span></li> <li><span>Minimum 1 year of experience using SAP and Microsoft Excel. </span></li> <li><span>Fluent in written and spoken English.</span></li> </ul> <br> <br> <p><span>Almarai offers a competitive package, generous leave, medical coverage, discretionary bonus, training, and development etc.</span></p><br><br> <br> <p><span>This is a great opportunity to join a successful and expanding global business, offering an excellent remuneration and benefits package.</span></p><br><br> <br> <br> <br><br> </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> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong><span>Master Data Officer | Saudi Arabia, Riyadh </span></strong></p><br><br> <br> <p><strong><span>The Company:</span></strong></p><br><br> <br> <p><span>Founded in 1977, Almarai Company is the world’s largest vertically integrated dairy company and the largest food and beverage manufacturing and distribution company in MENA. Headquartered in Riyadh, Almarai Company is ranked as the number one FMCG Brand in the MENA region and the market leader in all its categories across GCC, Egypt, and Jordan.</span></p><br><br> <p><span>Over five decades of sustainable growth, Almarai has consistently provided nutritious and healthy products to consumers of all ages, driven by its core principle: “Quality you can trust.”</span></p><br><br> <p><span>Almarai has expanded its product range to include, in addition to dairy products, juices and beverages, baked goods, poultry, infant formula, dates, fish and seafood, and bottled water, under more than 20 brands such as Almarai, L’usine, 7DAYS, ALYOUM, Nuralac, Farm’s Select, Ice Leaf, Almira, Seama, Oska, IVAL, Almara Pro, Premier Chef, Bakemart, and others. </span></p><br><br> <p><span>Almarai currently employs over 43,000 Quality Makers, across the GCC, Egypt &amp; Jordan. </span></p><br><br> <p><span>In 2025, Almarai reported net income of SAR 2.4 billion on sales of SAR 22 billion.</span></p><br><br> <br> <p><strong><span>About the role:</span></strong></p><br><br> <p><span>Maintain accurate and consistent SAP master data in line with service level agreements (SLAs) and business requirements. Identify opportunities for process improvement, implement master data updates, and provide end-user training to ensure effective SAP utilization.</span></p><br><br> <br> <p><span><strong>Key responsibilities:&nbsp;</strong></span></p><br><br> <ul> <li><strong><span>Create, maintain, and update SAP master data</span></strong><span> in accordance with requests received from authorized data providers. </span></li> <li><strong><span>Review and enhance master data procedures and standards</span></strong><span> to ensure data accuracy, consistency, and quality across all business processes. </span></li> <li><strong><span>identify opportunities for continuous improvement</span></strong><span> within master data management and implement changes that maximize business value and system effectiveness. </span></li> <li><strong><span>Collaborate with end users and data providers</span></strong><span> to ensure the accurate collection, maintenance, and optimization of master data for assigned business objects. </span></li> <li><strong><span>Work closely with cross-functional teams and business initiatives</span></strong><span> to support operational excellence and overall business performance. </span></li> <li><strong><span>Ensure compliance with SAP change management procedures</span></strong><span> and maintain strict control over master data updates to prevent unauthorized changes.</span></li> </ul> <br> <br> <p><strong><span>Requirements:</span></strong></p><br><br> <ul> <li><span>Diploma qualification in a related field. </span></li> <li><span>Minimum 1 year of experience using SAP and Microsoft Excel. </span></li> <li><span>Fluent in written and spoken English.</span></li> </ul> <br> <br> <p><span>Almarai offers a competitive package, generous leave, medical coverage, discretionary bonus, training, and development etc.</span></p><br><br> <br> <p><span>This is a great opportunity to join a successful and expanding global business, offering an excellent remuneration and benefits package.</span></p><br><br> <br> <br> <br><br> </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> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong><span>Master Data Officer | Saudi Arabia, Riyadh </span></strong></p><br><br> <br> <p><strong><span>The Company:</span></strong></p><br><br> <br> <p><span>Founded in 1977, Almarai Company is the world’s largest vertically integrated dairy company and the largest food and beverage manufacturing and distribution company in MENA. Headquartered in Riyadh, Almarai Company is ranked as the number one FMCG Brand in the MENA region and the market leader in all its categories across GCC, Egypt, and Jordan.</span></p><br><br> <p><span>Over five decades of sustainable growth, Almarai has consistently provided nutritious and healthy products to consumers of all ages, driven by its core principle: “Quality you can trust.”</span></p><br><br> <p><span>Almarai has expanded its product range to include, in addition to dairy products, juices and beverages, baked goods, poultry, infant formula, dates, fish and seafood, and bottled water, under more than 20 brands such as Almarai, L’usine, 7DAYS, ALYOUM, Nuralac, Farm’s Select, Ice Leaf, Almira, Seama, Oska, IVAL, Almara Pro, Premier Chef, Bakemart, and others. </span></p><br><br> <p><span>Almarai currently employs over 43,000 Quality Makers, across the GCC, Egypt &amp; Jordan. </span></p><br><br> <p><span>In 2025, Almarai reported net income of SAR 2.4 billion on sales of SAR 22 billion.</span></p><br><br> <br> <p><strong><span>About the role:</span></strong></p><br><br> <p><span>Maintain accurate and consistent SAP master data in line with service level agreements (SLAs) and business requirements. Identify opportunities for process improvement, implement master data updates, and provide end-user training to ensure effective SAP utilization.</span></p><br><br> <br> <p><span><strong>Key responsibilities:&nbsp;</strong></span></p><br><br> <ul> <li><strong><span>Create, maintain, and update SAP master data</span></strong><span> in accordance with requests received from authorized data providers. </span></li> <li><strong><span>Review and enhance master data procedures and standards</span></strong><span> to ensure data accuracy, consistency, and quality across all business processes. </span></li> <li><strong><span>identify opportunities for continuous improvement</span></strong><span> within master data management and implement changes that maximize business value and system effectiveness. </span></li> <li><strong><span>Collaborate with end users and data providers</span></strong><span> to ensure the accurate collection, maintenance, and optimization of master data for assigned business objects. </span></li> <li><strong><span>Work closely with cross-functional teams and business initiatives</span></strong><span> to support operational excellence and overall business performance. </span></li> <li><strong><span>Ensure compliance with SAP change management procedures</span></strong><span> and maintain strict control over master data updates to prevent unauthorized changes.</span></li> </ul> <br> <br> <p><strong><span>Requirements:</span></strong></p><br><br> <ul> <li><span>Diploma qualification in a related field. </span></li> <li><span>Minimum 1 year of experience using SAP and Microsoft Excel. </span></li> <li><span>Fluent in written and spoken English.</span></li> </ul> <br> <br> <p><span>Almarai offers a competitive package, generous leave, medical coverage, discretionary bonus, training, and development etc.</span></p><br><br> <br> <p><span>This is a great opportunity to join a successful and expanding global business, offering an excellent remuneration and benefits package.</span></p><br><br> <br> <br> <br><br> </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> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><b>Description</b></p><p>As an Amazon Critical Infrastructure Engineer, you will provide full life-cycle support to AWS Data Centers from design inception through site improvement and maintenance. You will be the ‘go to’ engineering resource for your region when technical advice is needed, and will use your subject matter expertise and engage with diverse teams to:</p><p>• Troubleshoot, conduct Root Cause Analysis (RCA) and create Corrective Action (CA) documentation for site/equipment failures.</p><p>• Directly support operational issues with ad-hoc training, complex operating procedure reviews, including critical equipment, and event support.</p><p>• Own the conceptual design for existing data center upgrades and design-solutions, which add capacity, improve availability, increase efficiency and sustainability.</p><p>• Interface with internal data center operations team, data center design engineering team, server hardware team, environmental health and safety team to promote standards that maintain consistency and reliability in services delivered.</p><p>• Develop innovative solutions for AWS’s data centers.</p><p>• Work on concurrent projects, sometimes in multiple geographical regions.</p><p>• Initiate and lead engineering audits including on-site visits within Amazon’s data centers. Produce reports outlining risks with recommended mitigations and remediations.</p><p>• Act as resident engineer during new construction projects. Support construction, commissioning, and turnover.</p><p><br></p><p><br></p><p><br></p><p>Key job responsibilities</p><p>Amazon's vision is to be the world's most customer-centric company, and this role is key to that vision. As an Amazon Critical Infrastructure Engineer, you will be leading projects to fit out our data centers to meet ever-evolving customer needs as we continue expanding our fleet to hyper-scale. As an ideal candidate you:</p><p>• Possess Strong Engineering Judgement and are able to provide recommendations despite uncertainty/ambiguity.</p><p>• Are detail and data oriented.</p><p>• Have experience solving problems with engineered solutions.</p><p>• Have experience managing engineering projects and consultants.</p><p>• Build trust and relationships with different stakeholders (e.g., Operations, Controls, Construction, Design, Commissioning, Product Managers, Technical Program Managers, ).</p><p>• Are adaptable and inclined to get into the field to see things up close.</p><p>• Excited about a mix of office and field work.</p><div><br></div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Experience with the design, construction, operation, or maintenance of mission critical facilities, especially data centers</li><li>Bachelor's degree in mechanical engineering or equivalent</li><li>Knowledge of building codes and regulations for your region</li><li>Knowledge of commercial or industrial power systems or mechanical systems</li><li>Knowledge of critical data center mechanical and electrical equipment</li><li>Experience in data analytics or au</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, &nbsp;where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.</p><br>The Position<b>The Opportunity</b><p>Roche Pharma Saudi Arabia is seeking a Business Analyst to serve as the strategic engine for data-driven decision-making. Operating within our Finance department, you will bridge the gap between complex data and strategic execution by blending internal metrics with external market intelligence. Additionally, you will lead advanced market research initiatives to track market share, map patient journeys, and decode competitive dynamics across our portfolio.</p><br><br><b>Key Responsibilities</b><ul><li><span>Insight Generation: Blend internal data (Sales, CRM) with external market intelligence (epidemiological, macroeconomic) to create interactive dashboards and strategic recommendations.</span></li><li><span>Competitive Intelligence: Establish a proactive framework to monitor industry shifts and deliver high-impact competitor briefings to disease area teams.</span></li><li><span>Market Research: Design and coordinate primary and secondary research projects, manage external vendors, and optimize secondary market data structures (e.g., IMS).</span></li><li><span>Strategic Collaboration: Partner with therapeutic business units and Finance to inject robust, data-backed assumptions into forecasting, launch planning, and business cycles.</span></li><li><span>Compliance: Ensure all data, insight generation, and research practices strictly adhere to Saudi compliance regulations and Roche global policies.</span></li></ul><br><b>What We Are Looking For</b><ul><li><span>Education: Bachelor’s degree in Business, Data Analytics, Statistics, Pharmacy, Healthcare Management, or a related field (MBA/Master's is a plus).</span></li><li><span>Experience: 3–5 years as a Business Analyst, Data Analyst, or Market Research Specialist, ideally within the Saudi Arabian pharmaceutical, healthcare, or life sciences industry.</span></li><li><span>Languages: Full professional proficiency in both English and Arabic is required.</span></li><li><span>Technical Skills: Advanced Excel and data visualization skills (Power BI/Tableau), hands-on experience with qualitative/quantitative market research, and experience using generative AI tools for data synthesis.</span></li><li><span>Core Competencies: Strong conceptual thinking, excellent presentation and influencing skills, a proactive self-starter mindset, and alignment with Roche’s VACC (Visionary, Architect, Catalyst, Coach) leadership model.</span></li></ul>Who we are<p>A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.</p><br><p><br>Let’s build a healthier future, together.</p><br><p><b>Roche is an Equal Opportunity Employer.</b></p><br> </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> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>A Pricing Analyst determines the optimal pricing for a company's products or services to maximize revenue and profitability. They balance competitor data, production costs, and market demand, and typically require a degree in finance, economics, or data science. The standard job description includes core responsibilities, essential skills, and typical qualifications. Core Responsibilities Market &amp; Competitor Analysis: Research industry standards and competitor pricing to identify market trends and opportunities. Financial Modeling: Create quantitative models to project the impact of price changes, promotions, and rebates on margins and revenue. Data-Driven Strategy: Analyze historical sales and cost data to identify ideal target prices and clearance strategies. Cross-Functional Collaboration: Work alongside marketing, sales, and product teams to integrate pricing programs with business objectives. Process &amp; System Management: Administer pricing databases, update transfer pricing, and document analytical processes for stakeholders. Essential Skills Technical: Advanced proficiency in data analysis, Microsoft Excel, SQL, and business intelligence tools (e.g., Tableau or PowerBI). Analytical: Financial modeling, market research execution, and yield forecasting. Workplace: Strong problem-solving, critical thinking, and the ability to present complex data clearly to upper management.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Qualifications &amp; Education Education: Bachelor's degree in Economics, Business, Data Science, Finance, or Accounting. Experience: Usually 1 to 4+ years of relevant experience in finance, market research, or data analysis.</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <ul><li><b>Analyze data to support strategic decision-making.</b></li><li><b>Prepare databases to ensure their quality and accessibility.</b></li><li><b>Execute data collection procedures to meet the needs of stakeholders.</b></li><li><b>Apply statistical models to improve operations.</b></li><li><b>Assist in data protection and compliance with standards.</b></li></ul><p> </p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><ul><li>Data Analysis</li><li>Database Design</li><li>Database Management</li><li>Big Data Analysis</li><li>Problem Solving</li><li>Critical Thinking</li></ul></div>