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Data Governance Specialist | Reef Group <br>Position Title: Data Governance Specialist Location: Riyadh, Saudi Arabia Job Type: Full-Time<br>About the Role:We are seeking a highly skilled Data Governance Specialist to establish, maintain, and optimize data governance frameworks across the organization. The role requires strong knowledge of governance standards, regulatory compliance, and a strategic approach to managing enterprise data. You will play a key role in ensuring data accuracy, security, and compliance, while enabling the organization to leverage data as a strategic asset across multiple departments and markets.<br>Key Responsibilities:Implement and maintain robust data governance frameworks aligned with DAMA principles. Ensure compliance with NDMO and SADAIA regulations and guidelines. Support metadata management, data lineage, and data cataloging initiatives. Collaborate with cross-functional teams to embed governance practices into daily workflows. Monitor data quality, security, and compliance across systems. Contribute to the development of dashboards and reporting for governance KPIs. Provide guidance and training to teams on data governance best practices. Continuously improve governance processes to enhance efficiency and compliance.<br>Required Qualifications:Bachelor’s degree in Data Management, Information Systems, IT, or related field.3–7 years of experience in Data Governance or Data Management. Strong knowledge and practical experience with the DAMA framework. Hands-on experience with NDMO & SADAIA regulations. Background in the retail industry (fashion & perfume) preferred. Proficiency in Cloud, Azure, Fabric, or D365 is a plus. Excellent analytical, communication, and collaboration skills. Strategic thinking and the ability to provide actionable data-driven recommendations. Excellent command of Arabic and English (written and spoken). Required Training: Computer Skills – Administrative Skills – Effective Communication Skills.<br>Why Join Us? This is an excellent opportunity to be part of a pioneering team driving data transformation in the retail sector. You will work on cutting-edge governance initiatives that align with national and global standards, while growing your career in a dynamic and fast-paced environment. Joining Reef Group means becoming part of a collaborative culture that values innovation, transparency, and impact.

<p>About the Role: We are seeking a Commercial Data Analyst to join our Data Intelligence team. In this role, you will leverage Almosafer's end-to-end travel commerce data including bookings, customer, pricing, supplier, and revenue data to generate actionable insights that inform business strategy, optimize commercial performance, and enable data-driven decision-making across Sourcing, Revenue Management, Product, Sales, and Marketing.</p><p>You ll act as the bridge between data and business, turning complex datasets into actionable recommendations that enable commercial success.</p><p>The ideal candidate will have 5+ years of analytical experience in e-commerce or travel, strong expertise in Sourcing, Products or Digital analytics, and hands-on experience with BI tools for delivering insights at scale. Knowledge of machine learning and rule-based models is a strong advantage.</p><p>Responsibilities:</p><p>Data Exploration &amp; Analysis - Explore and analyze in-house datasets (transactional, sourcing, connectivity, competitive intelligence) to generate meaningful insights. - Conduct deep-dive and ad-hoc analyses to identify trends, patterns, and opportunities that drive revenue and margin improvement. - Design and evaluate test scenarios to validate hypotheses and maximize the value of internal systems.</p><p>Insight Generation &amp; Communication - Translate data findings into clear, concise, and actionable insights and business recommendations. - Present analysis to stakeholders in a compelling narrative, using visualizations and storytelling to support strategic decisions - Deliver Insights to a wider audience and reiterate to generate impactful results &amp; achieve regular success</p><p>Data Product Support &amp; Continuous Improvement - Contribute to the development and evolution of Commercial Data Products by providing insights, testing hypotheses, and validating assumptions - Help shape KPIs, reporting metrics, and dashboards aligned with business goals. - Proactively suggest opportunities for optimization and process improvement using data insights. - Stay up to date with industry trends and analytics tools to enhance analytical capabilities</p><p>Stakeholder Engagement - Collaborate closely with cross-functional teams (Sourcing, Revenue Management, Product, Sales &amp; Marketing) to understand their data needs and deliver impactful analytical solutions. - Act as a mutual data partner, and advisor to cross-functional teams and multiple stakeholders.</p><p>Advanced Analytics &amp; Data Solutions - Design scalable, automated analytics solutions using tools such as SQL, Python, and cloud-based data platforms to support operational analytics. - Ensure adherence to enterprise data governance and quality standards, working closely with Data Engineering and Governance teams.</p><p>Collaboration &amp; Data Governance - Bridge Operations and Data Intelligence to ensure aligned data standards and methodologies. - Drive data literacy and analytical best practices across teams.</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor s or Master s degree in STEM, Business Analytics, or related field.</p><p>5+ years of experience as a Data Analyst, preferably in e-commerce, online travel, or digital-first businesses.</p><p>Proficiency in SQL, Python or R, and advanced Excel.</p><p>Strong experience in Commercial, Digital Products or Data Analytics practices.</p><p>Hands-on experience with BI tools such as Tableau, Power BI, Looker, or similar for dashboard development and storytelling.</p><p>Excellent stakeholder management and communication skills; English fluency.</p><p>Experience building and deploying machine learning models e.g. Pricing &amp; Margin Optimization, Forecasting, Recommendations, Mapping etc.</p><p>Familiarity with big data warehouses (Google BigQuery, AWS Redshift, Snowflake).</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>About Us</strong></p><br><p>Tamara is the leading fintech platform in Saudi Arabia and the wider GCC region with a mission to help people make their dreams come true by building the most customer-centric financial super-app on earth. The company serves millions of users in the region and partners with leading global and regional brands such as Apple, SHEIN, Jarir, noon, IKEA and Amazon, as well as small and medium businesses.</p><br><p>Tamara is Saudi Arabia’s first fintech unicorn and is backed by Sanabil Investments, a wholly owned company by the Public Investment Fund (PIF), SNB Capital, Checkout.com, amongst others. The company operates from its headquarters in Riyadh, with additional regional and global support offices.</p><br>Your Role<p>The Data Governance Lead will be responsible for leading the implementation, operation, and continuous improvement of Tamara’s data governance framework, ensuring that data is managed as a trusted, secure, well-controlled, and valuable organizational asset.</p><br><p>You will work closely with business, data, engineering, security, privacy, compliance, risk, and product teams to establish clear data ownership, strengthen data quality, maintain data governance standards, embed governance requirements into business and technology processes, and support regulatory and audit readiness. You will play a key role in maturing Tamara’s data governance capabilities across data ownership, classification, quality, lifecycle management, metadata, reporting, and governance assurance.</p><br>Your Responsibilities<ul><li>Lead the development, implementation, and continuous improvement of Tamara’s data governance policies, standards, procedures, and operating models.</li><li>Establish and maintain data ownership, stewardship, and accountability models across business and technology functions.</li><li>Define, monitor, and report on data governance KPIs, KRIs, maturity indicators, and management updates.</li><li>Identify opportunities to improve data governance maturity, operational efficiency, reporting quality, and control effectiveness.</li></ul><ul><li>Drive the execution of data governance practices, including data classification, lifecycle management, retention, metadata management, and business glossaries.</li><li>Oversee data quality monitoring, including identifying, prioritizing, and remediating issues related to accuracy, completeness, consistency, and integrity.</li><li>Maintain and enhance governance documentation, including data inventories, ownership registers, data lineage, and governance dashboards.</li><li>Provide governance input and challenge for projects involving data usage, sharing, new platforms, analytics, and integrations.</li></ul><ul><li>Support compliance with regulatory and industry requirements (SAMA, PDPL, PCI-DSS, and other financial services obligations).</li><li>Lead data governance assessments and control reviews to evaluate adherence to internal policies and regulatory standards.</li><li>Identify data-related risks and control gaps, working with stakeholders to define and track remediation plans to closure.</li><li>Lead the preparation of data governance evidence and documentation for internal audits, external audits, and regulatory inspections.</li></ul><ul><li>Partner with cross-functional teams (engineering, security, privacy, compliance, risk, product) to embed governance requirements into new systems and technology changes.</li><li>Drive stakeholder engagement to improve data governance awareness, accountability, and adoption across the organization.</li><li>Provide ongoing guidance and support to data owners, data stewards, and technical teams on governance best practices.</li></ul>Your Expertise<ul><li>2-5 years of experience in Data Governance, Data Management, Data Quality, or Compliance. Previous experience in fintech, banking, or a regulated financial environment is preferred.</li><li>Strong understanding of data ownership, stewardship, metadata management, data lineage, and lifecycle management.</li><li>Strong grasp of compliance expectations related to data management and privacy, particularly SAMA requirements, PDPL, and PCI-DSS.</li><li>Strong analytical skills with proficiency in Excel and experience with SQL, Power BI, Tableau, or similar reporting tools. Good understanding of enterprise data environments and reporting layers.</li><li>Proven ability to identify data quality root causes, define remediation actions, and conduct governance assessments and audit support.</li><li>Exceptional stakeholder management skills with the ability to influence cross-functional teams and produce clear documentation for technical and non-technical audiences.</li><li>Ability to operate independently and manage competing priorities in a fast-paced environment.</li></ul>Preferred Qualifications<ul><li>University degree in Information Management, Computer Science, Risk Management, or a related field.</li><li>Professional certifications such as CDMP, DCAM, COBIT, CIPP, or ISO 27001.</li><li>Experience leading enterprise data governance programs or maturity improvement initiatives.</li><li>Hands-on experience with dedicated data governance, cataloging, metadata, lineage, or GRC tools.</li><li>Prior experience operating under SAMA regulatory oversight.</li></ul><p>&amp;nbsp;</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>

<p>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.</p><p>The Mindrift platform connects specialists with innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.</p><p>This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.</p><p><strong>Key Responsibilities</strong></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 available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.</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><p><strong>Technical Skills (Essential)</strong></p><ul><li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies</li><li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)</li><li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)</li></ul><p><br></p><p><strong>Desired Candidate Profile</strong></p><p><strong>Educational qualifications</strong></p><p>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required). Bachelor s or Master s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.</p><p><strong>Academic and/or Professional Experience</strong></p><p>Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</p>

<p>The Data Privacy Senior Specialist supports the design, implementation, and monitoring of Takamol s personal data protection program to ensure compliance with the Saudi Personal Data Protection Law (PDPL) and its Implementing Regulations, and alignment with SDAIA and NDMO controls and global best practice. Working under the direction of the Data Management Senior Director, the role safeguards personal and sensitive information, embeds privacy-by-design across processing activities, and promotes a culture of data protection throughout the organization.</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor s degree in Business Management, Computer Science, Management Information System, Data Science or a related field. 4-6 years of relevant experience in data protection, data privacy, risk management, or data security within a regulated environment. Strong understanding of core data privacy principles such as data minimization, purpose limitation, lawful basis, and accountability. Demonstrated experience implementing and maintaining data protection policies, procedures, and standards, including DPIAs and privacy-by-design. Certifications (preferred). CIPM, CIPP/E, or equivalent privacy certification; CDMP/DAMA an advantage. In-depth knowledge of PDPL, NDMO, and SDAIA standards. Conducting privacy risk assessments, DPIAs, and audits. Data classification and personal data protection controls. Familiarity with data privacy management tools. Strong analytical thinking and problem solving. Excellent communication and advisory skills. Cross-functional collaboration and stakeholder engagement. Project management, attention to detail, and documentation.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Inbox Business Technologies is looking for an experienced <strong>Data Science &amp; Governance SME</strong> to provide data-domain expertise across both segments — ensuring communication content on data governance, quality, privacy, management and BI is technically accurate and credible, and underpinning the design and interpretation of data-literacy and adoption measures.</p><br><p><strong>Employment Type: </strong>Full-time employment </p><br>Responsibilities<ul><li>Serve as the authority on data governance (DAMA-DMBOK), data quality, data management, data privacy/PDPL and BI/analytics for all programme content.</li><li>Review and validate the technical accuracy of data-domain content — governance, quality, privacy, roles-and-responsibilities and BI messaging.</li><li>Co-design the data-literacy framework and the Data Awareness Survey, and advise on data-literacy assessment measures under Segment 3.</li><li>Support executive briefings and immersion sessions with data-domain credibility.</li><li>Interpret data-literacy metrics with the Adoption Analyst and recommend content or intervention adjustments.</li><li>Maintain alignment with TAWAL's data strategy, policies and the KSA regulatory context (PDPL, NDMO, SDAIA).</li></ul> </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>

<p><b>Job Title Manager </b>- Data Management (Data Governance, Privacy &amp; Quality) Reports To Director / Senior Manager Location Kingdom of Saudi Arabia Direct Reports NA</p><p><strong>Mission / Purpose of the Role</strong><br>The purpose of this role is to support the establishment, implementation and ongoing maintenance of Data Management capabilities within ADCB KSA, ensuring alignment with Group Data Management frameworks, policies, standards and procedures. The role acts as the primary point of contact for Data Governance, Data Privacy, Data Quality and Data Incident Management matters within the subsidiary, translating Group requirements and local regulatory obligations into practical, embedded controls. By delivering credible governance, robust privacy operations and demonstrable data quality improvement, the role protects the client s regulatory standing and reinforces the firm s reputation for integrity and regulatory excellence.</p><p><br></p><ul><li><br></li></ul><p></p><p><strong>Key Accountabilities</strong></p><p><strong>Data Management Framework Implementation</strong><br>Key Responsibilities<br></p><ul><li>Review and adapt Group Data Management policies, standards and procedures for subsidiary adoption.</li><li>Establish subsidiary-specific Data Management governance documentation where required.</li><li>Support implementation of Data Governance, Data Privacy, Data Quality and Data Incident Management frameworks.</li><li>Develop and maintain local operating procedures, guidance documents and governance artefacts.</li><li>Support periodic review and update of local policies to ensure continued alignment with Group and regulatory requirements.</li></ul>Success Indicators<br><ul><li>Local framework documentation approved and adopted.</li><li>Implementation roadmap delivered to plan.</li><li>No material misalignment with Group standards.</li></ul><p></p><p><strong>Data Governance &amp; Oversight</strong><br>Key Responsibilities<br></p><ul><li>Represent Data Management in subsidiary governance committees, Data Steering Groups and working groups.</li><li>Prepare governance materials, reports and management updates for local and Group forums.</li><li>Escalate material data risks, control deficiencies and regulatory concerns to the appropriate management and governance bodies.</li><li>Track remediation actions and ensure timely closure.</li><li>Support implementation of data ownership, stewardship and accountability models.</li></ul>Success Indicators<br><ul><li>Governance packs issued on schedule.</li><li>Risks escalated without delay.</li><li>Actions closed within agreed deadlines.</li></ul><p></p><p><strong>Regulatory Compliance &amp; Risk Management</strong><br>Key Responsibilities<br></p><ul><li>Assess and monitor compliance with applicable UAE, KSA and other relevant regulatory requirements.</li><li>Support regulatory gap assessments and implementation of remediation plans.</li><li>Maintain regulatory compliance trackers and reporting mechanisms.</li><li>Conduct Data Risk Assessments, Privacy Impact Assessments and related evaluations.</li><li>Support regulatory examinations, audits and information requests.</li></ul>Success Indicators<br><ul><li>Gap assessments completed and remediated.</li><li>Trackers accurate and current.</li><li>Regulatory requests answered fully and on time.</li></ul><p></p><p><strong>Data Privacy Operations</strong><br>Key Responsibilities<br></p><ul><li>Maintain Records of Processing Activities (ROPA) and processing inventories.</li><li>Support Data Subject Rights management processes and requests.</li><li>Manage data transfer assessments and privacy-related reviews.</li><li>Review and maintain privacy notices, consent notices and related public disclosures.</li><li>Support investigations into privacy complaints and statutory inquiries.</li><li>Provide advisory support to business stakeholders on privacy requirements and obligations.</li></ul>Success Indicators<br><ul><li>ROPA complete and current.</li><li>DSR requests met within statutory timeframes.</li><li>Privacy notices accurate and approved.</li></ul><p></p><p><strong>Data Incident Management</strong><br>Key Responsibilities<br></p><ul><li>Support identification, assessment, investigation and remediation of data incidents.</li><li>Facilitate Data Breach Assessments and impact assessments.</li><li>Coordinate incident response with business, technology, compliance and risk stakeholders.</li><li>Support regulatory notification assessments and documentation requirements.</li><li>Track remediation actions and lessons learned.</li></ul>Success Indicators<br><ul><li>Incidents managed within framework timelines.</li><li>Notification decisions documented and defensible.</li><li>Lessons learned implemented.</li></ul><p></p><p><br></p><p><strong>Education &amp; Experience</strong></p><p><strong>Education</strong><br>Bachelor s degree in Law, Information Management, Computer Science, Business, Finance or a related discipline.</p><p><strong>Experience</strong><br>Minimum 8 years overall industry experience, with at least 4 years in Data Management, Data Governance, Data Privacy or Data Protection roles within financial services. Direct experience implementing data governance, privacy or data quality frameworks is essential. Working knowledge of KSA (SDAIA / PDPL, SAMA) and UAE data protection requirements is strongly preferred.</p><p><strong>Additional Requirements</strong><br>CIPP/E, CIPM, CDMP, DAMA, CISM or equivalent qualifications preferred. Strong written and verbal communication skills in English; Arabic is an advantage.</p><p><br></p><p><strong>Desired Candidate Profile</strong></p><p><strong>Education</strong><br>Bachelor s degree in Law, Information Management, Computer Science, Business, Finance or a related discipline.</p><p><strong>Experience</strong><br>Minimum 8 years overall industry experience, with at least 4 years in Data Management, Data Governance, Data Privacy or Data Protection roles within financial services. Direct experience implementing data governance, privacy or data quality frameworks is essential. Working knowledge of KSA (SDAIA / PDPL, SAMA) and UAE data protection requirements is strongly preferred.</p><p><strong>Additional Requirements</strong><br>CIPP/E, CIPM, CDMP, DAMA, CISM or equivalent qualifications preferred. Strong written and verbal communication skills in English; Arabic is an advantage.</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Description: Data Science &amp; Analytics Engineer Job Title: Data Science &amp; Analytics Engineer Experience: 3 11 Years Location: Riyadh - Onsite Employment Type: Full-Time Job Overview We are looking for a talented Data Science &amp; Analytics Engineer with 3 11 years of experience to transform complex data into actionable business insights. The ideal candidate will have expertise in data science, statistical analysis, predictive modeling, data visualization, and modern analytics platforms. You will work closely with business stakeholders, data engineers, and technology teams to develop data-driven solutions that support strategic decision-making. Key Responsibilities Design, develop, and deploy predictive and analytical models to solve business problems. Perform data exploration, statistical analysis, feature engineering, and model evaluation. Build interactive dashboards, reports, and visualizations for business stakeholders. Develop scalable data analytics solutions using modern cloud and big data platforms. Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions. Analyze structured and unstructured datasets to identify trends, patterns, and opportunities. Ensure data quality, governance, and best practices across analytics initiatives. Present analytical findings and recommendations to technical and non-technical audiences. Continuously improve analytics processes, reporting capabilities, and model performance. Required Technical Skills Programming &amp; Data Science Strong proficiency in Python or R for data analysis, statistical modeling, and machine learning. Experience with data manipulation, exploratory data analysis (EDA), and predictive analytics. Data Science Platforms Hands-on experience with Databricks or Dataiku for data science, machine learning, and collaborative analytics. Experience developing end-to-end analytical workflows and model deployment. Business Intelligence &amp; Visualization Strong experience with Power BI or Tableau or Looker for dashboard development and data visualization. Ability to create interactive reports and executive-level dashboards. Data Warehousing &amp; Analytics Experience with BigQuery or Snowflake for large-scale analytics and data warehousing. Strong understanding of SQL, data modeling, and analytical query optimization. Analytics &amp; Machine Learning Experience with statistical analysis, forecasting, classification, clustering, and regression models. Familiarity with machine learning libraries and model evaluation techniques. Qualifications Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Information Technology, or a related field. 3 11 years of professional experience in Data Science, Business Analytics, or Advanced Analytics. Strong analytical, mathematical, and problem-solving skills. Excellent communication and presentation skills. Experience working in Agile/Scrum environments. Preferred Skills Experience with cloud analytics platforms on AWS, Microsoft Azure, or Google Cloud Platform. Knowledge of MLOps, model deployment, and AI-driven analytics. Experience with ETL/ELT processes and data engineering concepts. Familiarity with Generative AI, Large Language Models (LLMs), or AI-assisted analytics is an advantage. Relevant certifications in Data Science, Analytics, or Cloud technologies are a plus. Key Technology Stack Programming Languages: Python or R Data Science Platforms: Databricks or Dataiku Business Intelligence: Power BI or Tableau or Looker Data Warehouse: BigQuery or Snowflake Analytics: Statistical Analysis and Predictive Modeling and Machine Learning and Data Visualization Cloud Platforms: AWS or Microsoft Azure or Google Cloud Platform (Preferred) Share</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h3>Qualifications</h3><p>Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Information Technology, or a related field. 3 11 years of professional experience in Data Science, Business Analytics, or Advanced Analytics. Strong analytical, mathematical, and problem-solving skills. Excellent communication and presentation skills. Experience working in Agile/Scrum environments.</p><h3>Preferred Skills</h3><p>Experience with cloud analytics platforms on AWS, Microsoft Azure, or Google Cloud Platform. Knowledge of MLOps, model deployment, and AI-driven analytics. Experience with ETL/ELT processes and data engineering concepts. Familiarity with Generative AI, Large Language Models (LLMs), or AI-assisted analytics is an advantage. Relevant certifications in Data Science, Analytics, or Cloud technologies are a plus.</p><p></p></section>

<h3 >About Müller's Solutions and the Role</h3> <p >Müller's Solutions is seeking a <strong >Data Analytics Specialist</strong> to join our team in Riyadh, Saudi Arabia. This is a full-time position where the specialist will be responsible for analyzing complex data sets to provide actionable insights that inform business strategy and decision-making. The role involves working closely with various departments to enhance data-driven practices and improve overall organizational performance through advanced analytical techniques.</p> <h3 >Key Responsibilities</h3> <ul > <li >Collect, process, and analyze large data sets from various sources to identify trends and patterns.</li> <li >Create and maintain dashboards and reports to visualize data and communicate results effectively.</li> <li >Collaborate with cross-functional teams to understand their data needs and provide analytical support.</li> <li >Model data using statistical methods to forecast future trends and outcomes.</li> <li >Develop and implement data collection and analysis methodologies.</li> <li >Conduct ad-hoc analyses as requested, providing insights that inform business decisions.</li> <li >Stay updated on industry trends and best practices in data analytics.</li> <li >Train team members on data analysis tools and techniques to enhance data literacy across the organization.</li> </ul> <h3 >Required Qualifications and Experience</h3> <ul > <li >Proven experience as a Data Analytics Specialist or in a similar role, with <strong >5-10 years of relevant experience</strong>.</li> <li >Excellent analytical and problem-solving skills with attention to detail.</li> <li >Strong communication skills to effectively convey complex data insights to non-technical stakeholders.</li> <li >Ability to work independently and as part of a team in a fast-paced environment.</li> </ul> <h3 >Team and Work Environment</h3> <p >The Data Analytics Specialist will operate within a dynamic team environment, contributing to data-driven initiatives across the organization. This full-time position is based in Riyadh, Riyadh, Saudi Arabia, requiring active collaboration with various departments.</p> <h3 >Benefits of Joining Müller's Solutions</h3> <ul > <li >Opportunity to work with a talented and passionate team.</li> <li >Competitive salary and benefits package.</li> <li >Involvement in innovative projects and a stimulating work environment.</li> </ul> <h3 >Application Process</h3> <p >Candidates who meet the above qualifications are encouraged to apply for this full-time Data Analytics Specialist position at Müller's Solutions.</p>

JOB PURPOSE / ROLE:To lead the development, Implementation, and monitoring of the RB enterprise data strategy and governance controls, Ensuring alignment with business objectives, regulatory requirements and data management standards while driving continues improvement in data governance capabilities.<br>AREAS OF RESPONSIBILITY:Policies, Processes & Procedures:Assist the development and execution of the Data Strategy & Control policies, procedures and controls for all sources of the data. Day- to-Day Operations:Perform the day-to-day activities and ensure that work processes are implemented as designed and comply with established policies, processes and procedures Job Related Accountabilities:Lead the implementation and continuous enhancement of the Bank’s Enterprise Data Strategy. Develop and monitor data governance controls, standards, policies, and procedures across the Bank. Track the execution of strategic data initiatives and report progress against approved roadmaps and KPIs. Coordinate with business and technology stakeholders to ensure alignment of data initiatives with business priorities Establish governance mechanisms to ensure compliance with internal policies and regulatory requirements related to data management. Monitor data governance maturity and identify opportunities for continuous improvement. Support enterprise-wide data governance forums and committees by preparing reports, dashboards, and decision-support materials. Coordinate the implementation of data-related regulatory and compliance requirements. Collaborate with Data Quality, Master Data, Metadata, Data Privacy, and Business Intelligence teams to ensure consistent governance practices. Lead assigned strategic initiatives and perform other related duties as required. Change Management Contributes to the identification of opportunities for continuous improvement of systems, processes and practices taking into account ‘international best practices’, improvement of business processes, cost reduction and productivity improvement. Related Assignments:Performs other related duties or assignments as directed<br>QUALIFICATIONS & EXPERIENCE:Minimum Qualifications:Bachelor’s degree in Information Management System, Information Systems or Computer Science or Related Filed Minimum Experience:6-8 years relevant experience in Data Management Language:English: Advanced

Job Purpose To manage and operationalize the Bank’s Data Privacy program by implementing approved privacy frameworks, controls, and processes, ensuring day-to-day compliance with PDPL, SAMA, NDMO, and applicable international standards.<br>The role supports the Head of Data Privacy Office by executing privacy initiatives, managing privacy risks, handling data subject rights and incidents, and embedding privacy controls across business, technology, and third-party activities.<br>Key Accountabilities<br>Privacy Policies, Systems & Procedures Implement and operationalize approved data privacy policies, standards, procedures, and guidelines across the Bank. Ensure consistent execution of privacy controls by business units and technology teams. Monitor adherence to privacy requirements and escalate non-compliance issues as required. Support alignment between privacy controls and information security, data classification, and data governance frameworks.<br>Regulatory Compliance & Operational Privacy Execute privacy compliance activities in line with PDPL, SAMA, and NDMO requirements. Monitor regulatory updates and support impact assessments and implementation actions. Support audits, regulatory reviews, and internal assessments related to data privacy. Maintain and update Records of Processing Activities (ROPA) and data inventories.<br>Data Subject Rights Management Manage and coordinate Data Subject Rights Requests (DSARs), including access, correction, deletion, and portability, in line with PDPL timelines. Coordinate with internal stakeholders to ensure accurate, complete, and timely responses. Maintain DSAR logs, evidence, and reporting metrics.<br>Privacy Risk, DPIAs & New Initiatives Conduct and support Privacy Impact Assessments (DPIAs) for new products, systems, vendors, and initiatives. Identify privacy risks and recommend mitigation controls. Support privacy-by-design implementation in digital, analytics, AI, and transformation initiatives.<br> Incident & Breach Handling Maintain the privacy incident register and ensure proper documentation. Support notification processes to regulators and affected individuals, as required.<br>Data Lifecycle & Retention<br>Qualifications, Experience, Skills & Competencies<br>Education:Bachelor's degree acceptable educational level accompanied by a strong banking experience. Relevant certifications (privacy, security, risk, or compliance) are an advantage.<br>Experience:5-8 years of Experience in the Data Privacy or a related field Experience operating privacy controls within a regulated or financial services environment is preferred.<br>Skills & Competencies:Strong working knowledge of PDPL, SAMA regulations, and privacy operational controls. Hands-on experience with DSARs, ROPA, DPIAs, and privacy incident handling. Understanding of data lifecycle management and data classification. Strong coordination, documentation, and stakeholder management skills. Ability to translate regulatory requirements into practical controls.

<h3><strong>About E-Solutions</strong></h3><p>E-Solutions is seeking an <strong>Oracle Cloud Data Migration Consultant</strong> to join our team. This <strong>full-time</strong> position is based in <strong>Jeddah, Makkah, Saudi Arabia</strong>, focusing on critical data migration initiatives for Oracle Cloud implementations.</p><h3><strong>The Role</strong></h3><p>The Oracle Cloud Data Migration Consultant will play a central role in ensuring the successful and auditable migration of data to Oracle Cloud platforms. This involves leading various stages of the data migration lifecycle, from initial extraction to post-go-live support, working closely with diverse project teams.</p><h3><strong>Key Responsibilities</strong></h3><ul><li>Lead activities related to data extraction, mapping, transformation, and validation.</li><li>Build and execute migration loads utilizing tools such as FBDI, ADFDi, HDL (for HCM), and REST APIs.</li><li>Develop essential documentation, including data templates, mapping sheets, and cleansing guidelines for business users.</li><li>Coordinate effectively with functional, technical, and business teams to gather data requirements and secure necessary approvals.</li><li>Perform mock data loads, conduct reconciliations, and provide support during cutover and post-go-live phases.</li><li>Troubleshoot data load errors and ensure all migrations are successful and fully auditable.</li></ul><h3><strong>Required Experience</strong></h3><p>Candidates for this role should possess <strong>6 to 10 years of experience</strong> in data migration, with a strong focus on Oracle Cloud environments. Demonstrated proficiency in data migration tools and methodologies, including FBDI, ADFDi, HDL, and REST APIs, is essential.</p><h3><strong>Location and Employment Type</strong></h3><p>This is a <strong>full-time</strong> employment opportunity located in <strong>Jeddah, Makkah, Saudi Arabia</strong>. The role requires on-site presence and collaboration within the local team and project stakeholders.</p><h3><strong>Application Information</strong></h3><p>E-Solutions invites qualified candidates to apply. Salary for this position will be discussed directly with applicants during the interview process.</p>

<h3 >About the Data Engineer Infrastructure Role</h3> <p >Jobs AI is seeking a <strong >Data Engineer Infrastructure</strong> for a client located in <strong >Saudi Arabia</strong>. This <strong >contract</strong> position involves designing, building, and maintaining scalable data pipelines and infrastructure to support data-driven decision-making. The successful candidate will collaborate with cross-functional teams to ensure data reliability, quality, and accessibility for analytical and operational needs.</p> <h3 >Client and Role Context</h3> <p >The client is recognized as a global leader within the <strong >Software Development, Technology, Information and Internet, and Data Infrastructure and Analytics</strong> industries. This role offers the opportunity to contribute to the modernization of data infrastructure and enable advanced analytics capabilities, directly impacting the client's operational efficiency and strategic insights.</p> <h3 >Key Responsibilities</h3> <ul > <li >Design, develop, and optimize data pipelines to ingest, transform, and load data from various sources into target systems.</li> <li >Implement and maintain ETL/ELT processes to support data warehousing and analytics initiatives.</li> <li >Ensure data integrity, consistency, and security across all data assets and systems.</li> <li >Monitor pipeline performance, troubleshoot issues, and implement improvements to enhance efficiency and reliability.</li> <li >Collaborate with data scientists, analysts, and other stakeholders to understand requirements and deliver high-quality data solutions.</li> </ul> <h3 >Experience and Qualifications</h3> <p >Candidates should possess <strong >2-5 years</strong> of experience in a relevant data engineering role. Jobs AI hires based on skills and expertise, welcoming all qualified candidates regardless of background or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.</p> <h3 >Work Arrangement and Compensation</h3> <p >This is a <strong >contract</strong> position that allows for remote work with flexible hours. The compensation for this role is competitive, ranging from <strong >$30 to $100 per hour</strong>.</p> <h3 >Application Process</h3> <p >Interested candidates are encouraged to apply, demonstrating their technical abilities and qualifications for this Data Engineer Infrastructure role.</p>

Behind every confident decision, there’s trusted information.<br>At SIMAH, we provide trusted credit information and insights that enable informed decision-making, promote responsible lending, and contribute to a stronger and more sustainable financial ecosystem.<br>Be part of the impact<br>About the Job. <br>Lead SIMAH’s enterprise-wide Data Quality Management strategy by defining policies, processes, and systems that ensure data integrity, accuracy, and reliability across all operations, fostering a culture of data excellence and compliance with regulatory and business requirements.<br>Key Responsibilities. <br>• Define and implement a robust Data Quality Management framework, including policies, procedures, processes, technologies, and staffing, to continuously monitor and enhance SIMAH’s business data.• Lead the identification and prioritization of Critical Data Elements (CDEs) to ensure their accuracy, reliability, and alignment with business objectives and regulatory standards.• Evaluate and establish key data quality metrics and validation rules to monitor the completeness, accuracy, timeliness, uniqueness, validity, and consistency of critical data assets.• Lead the development and management of tools and systems for data profiling, assessment, and validation, ensuring business-critical data is complete, accurate, and consistent.• Maintain transparent and timely processes for identifying, reporting, and resolving data quality issues in coordination with data providers, stewards, and owners.• Collaborate with IT and related teams to enhance data quality systems, dashboards, and reporting tools, enabling actionable insights and continuous improvement.• Advise senior management on data quality risks, trends, and opportunities to strengthen business decision-making and operational efficiency.<br>Requirements. Years of Experience:4+ years of relevant experience. Qualification:Bachelor’s in Computer Science, Data Analytics or any related field.

<h3><strong>About E-Solutions</strong></h3><p>E-Solutions is seeking an <strong>Oracle Cloud Data Migration Consultant</strong> to join our team. This <strong>full-time</strong> position is based in <strong>Jeddah, Makkah, Saudi Arabia</strong>, focusing on critical data migration initiatives for Oracle Cloud implementations.</p><h3><strong>The Role</strong></h3><p>The Oracle Cloud Data Migration Consultant will play a central role in ensuring the successful and auditable migration of data to Oracle Cloud platforms. This involves leading various stages of the data migration lifecycle, from initial extraction to post-go-live support, working closely with diverse project teams.</p><h3><strong>Key Responsibilities</strong></h3><ul><li>Lead activities related to data extraction, mapping, transformation, and validation.</li><li>Build and execute migration loads utilizing tools such as FBDI, ADFDi, HDL (for HCM), and REST APIs.</li><li>Develop essential documentation, including data templates, mapping sheets, and cleansing guidelines for business users.</li><li>Coordinate effectively with functional, technical, and business teams to gather data requirements and secure necessary approvals.</li><li>Perform mock data loads, conduct reconciliations, and provide support during cutover and post-go-live phases.</li><li>Troubleshoot data load errors and ensure all migrations are successful and fully auditable.</li></ul><h3><strong>Required Experience</strong></h3><p>Candidates for this role should possess <strong>6 to 10 years of experience</strong> in data migration, with a strong focus on Oracle Cloud environments. Demonstrated proficiency in data migration tools and methodologies, including FBDI, ADFDi, HDL, and REST APIs, is essential.</p><h3><strong>Location and Employment Type</strong></h3><p>This is a <strong>full-time</strong> employment opportunity located in <strong>Jeddah, Makkah, Saudi Arabia</strong>. The role requires on-site presence and collaboration within the local team and project stakeholders.</p><h3><strong>Application Information</strong></h3><p>E-Solutions invites qualified candidates to apply. Salary for this position will be discussed directly with applicants during the interview process.</p>

<p>We want a data scientist who can help turn biomarker data, product data, and longitudinal member data into sharper decisions, smarter systems, and more useful guidance. Work across analytics, experimentation, clinical intelligence, and product questions. Help identify signal in complex health and behavioral datasets. Be comfortable translating findings into tools, decisions, and product improvements. Apply</p>

<h3 >About Takamol Holding and the Role</h3> <p >Takamol Holding is seeking a <strong >Data Privacy Senior Specialist</strong> to join its team in Riyadh, Saudi Arabia. This full-time position is integral to supporting the design, implementation, and monitoring of Takamol’s personal data protection program.</p> <h3 >Role Overview</h3> <p >Reporting to the Data Management Senior Director, the Data Privacy Senior Specialist plays a critical role in safeguarding personal and sensitive information across the organization. This position is instrumental in embedding privacy-by-design principles into all data processing activities and fostering a robust culture of data protection throughout Takamol Holding.</p> <h3 >Key Responsibilities</h3> <ul > <li >Support the design, implementation, and ongoing monitoring of the personal data protection program.</li> <li >Safeguard personal and sensitive information across all organizational activities.</li> <li >Embed privacy-by-design principles into data processing activities and systems.</li> <li >Promote and cultivate a strong culture of data protection within the organization.</li> </ul> <h3 >Compliance and Standards Adherence</h3> <ul > <li >Ensure compliance with the Saudi Personal Data Protection Law (PDPL) and its Implementing Regulations.</li> <li >Align data protection practices with controls established by SDAIA and NDMO.</li> <li >Integrate global best practices in data privacy into Takamol’s operational framework.</li> </ul> <h3 >Required Experience</h3> <p >Candidates for this role should possess <strong >5 to 10 years of relevant professional experience</strong> in data privacy, data protection, or a closely related field. This experience should include practical application of data protection laws and frameworks.</p> <h3 >Application</h3> <p >Qualified professionals are invited to apply for this opportunity to contribute to Takamol Holding’s commitment to data privacy excellence.</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>As a Data Protection &amp; Privacy Specialist, you will support the organization's data privacy and protection initiatives by assisting in compliance activities, privacy risk assessments, Data Protection Impact Assessments (DPIAs), policy development, and awareness programs. You will collaborate with internal stakeholders to ensure personal data is processed securely and in accordance with applicable regulations. Key Responsibilities Support compliance with applicable data protection and privacy regulations, including the Saudi Personal Data Protection Law (PDPL) and NCA Data Cybersecurity Controls (DCC). Assist in identifying and assessing privacy risks associated with business processes and data processing activities. Support the development, review, and maintenance of privacy policies, procedures, and standards. Contribute to the implementation and continuous improvement of the organization's Data Protection &amp; Privacy Program. Assist in investigating privacy incidents and documenting findings and corrective actions. Support the execution of Data Protection Impact Assessments (DPIAs). Participate in privacy awareness campaigns and employee training programs. Coordinate with business units, Legal, IT, and external stakeholders to support compliance initiatives. Assist in data classification and governance activities. Monitor changes in privacy regulations and recommend improvements where appropriate. Prepare reports and documentation related to privacy compliance and governance activities.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor's degree in Cybersecurity, Information Security, Computer Engineering, Systems Engineering, Telecommunications Engineering, Information Technology, or a related field. Minimum one year of experience in Cybersecurity, Data Protection, Privacy Compliance, Information Security, or completion of a Tamheer program in Data Protection &amp; Privacy. Understanding of Saudi Personal Data Protection Law (PDPL). Familiarity with NCA Data Cybersecurity Controls (DCC). Knowledge of privacy principles, data classification, and information governance. Understanding of Data Protection Impact Assessments (DPIAs) is preferred. Professional certifications in cybersecurity or data privacy (e.g., CDPSE, CIPM, CIPT, CIPP/E, ISO 27701, Security+) are an advantage. What We're Looking For Strong analytical and critical thinking skills. Excellent attention to detail. Effective communication and stakeholder engagement. Strong organizational and documentation skills. Ability to work collaboratively across departments. Passion for privacy, compliance, and continuous learning.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Do you want to love what you do at work? Do you want to make a difference, an impact, transform peoples lives? Do you want to work with a team that believes in disrupting the normal, boring, and average? If yes, then this is the job you're looking for , webook.com is Saudi's #1 event ticketing and experience booking platforms in terms of technology, features, agility, revenue serving some of the largest mega events in the Kingdom surpassing over 2 billion sales.</p><p>Role Overview</p><p>The Director of Data Platforms &amp; Intelligence is one of the most strategically significant leadership hires at webook. This role owns and integrates:</p><ul><li>Data Platforms</li><li>Analytics &amp; Insights</li><li>AI Enablement</li><li>Intelligence Products</li><li>Commercial Data Monetisation</li><li>Operational &amp; Executive Decision Intelligence</li></ul><p>This leader transforms webook s data into a revenue-driving, intelligence-generating engine .</p><p>What You ll Own</p><p>Data Platform Strategy &amp; Architecture</p><ul><li>Own the end-to-end data platform strategy aligned with product, engineering, and commercial goals</li><li>Architect scalable batch + streaming pipelines, real-time analytics, ML enablement, and multi-tenant access</li><li>Build on GCP (BigQuery / ClickHouse, Airflow, DBT, ML Ops)</li><li>Ensure resilience during extreme traffic spikes and major events</li></ul><p>Data Reliability &amp; Observability</p><ul><li>Implement full data observability (freshness, anomalies, schema drift, SLAs/SLOs)</li><li>Treat data incidents with production-level severity</li><li>Deliver trusted, always-on data for real-time ops and BI</li></ul><p>Business Intelligence &amp; Decision Intelligence</p><ul><li>Lead executive dashboards, KPI frameworks, forecasting, and operational metrics</li><li>Enable self-service analytics with governed semantic layers</li><li>Partner with Product, Marketing, Commercial, and Operations on proactive insights</li></ul><p>Partner &amp; Promoter Intelligence (Core 2026 Monetisation)</p><ul><li>Design and own data-as-a-product roadmap</li><li>Build promoter dashboards covering live entry &amp; capacity, forecasting, demand analysis, audience insights, market benchmarks, and queue &amp; throughput intelligence</li><li>Work with Commercial on pricing, packaging, and go-to-market</li></ul><p>AI Enablement &amp; Predictive Intelligence</p><ul><li>Build data foundations for AI and ML models</li><li>Support recommendation systems, conversational UX, forecasting, and anomaly detection</li><li>Operationalise models with monitoring and retraining</li></ul><p>Governance, Security &amp; Compliance</p><ul><li>Define policies for data access, retention, and protection</li><li>Ensure PDPL &amp; GDPR compliance in partnership with CISO &amp; DPO</li></ul><p>Leadership &amp; Organisation Building</p><ul><li>Lead Data Engineering, Analytics, BI, and Data Operations teams</li><li>Define org structure, hiring plans, and career ladders</li><li>Act as a core member of the Technology Leadership Team</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>15+ years in data engineering, analytics, BI, architecture, or data leadership</li><li>Proven experience building enterprise-grade data platforms</li><li>Experience commercialising external data or intelligence products</li><li>Deep knowledge of modern stacks (GCP, BigQuery/Snowflake/ClickHouse, streaming, BI tools)</li><li>Strong AI, ML Ops, KPI, and executive reporting expertise</li><li>Strong understanding of PDPL/GDPR</li><li>Excellent executive communication and influence</li></ul><p>Nice to Have</p><ul><li>Experience in ticketing, events, travel, marketplaces, or entertainment tech</li><li>Experience with multi-tenant data products</li><li>Experience delivering market intelligence to enterprise clients</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Responsible for analyzing healthcare and medical datasets to generate actionable insights, develop dashboards, support performance monitoring, and improve clinical and operational decision-making. The role requires close collaboration with clinical, policy, and analytics teams.</p></div></section>