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<h3><strong>About the Role</strong></h3><p>SmartChoice International GCC, a specialist technology consultancy, is seeking a <strong>Data Architect</strong> to support client engagements in Riyadh, Saudi Arabia. This full-time role focuses on delivering expertise across data architecture, data management, and enterprise architecture initiatives.</p><h3><strong>Role Purpose</strong></h3><p>The Data Architect will be instrumental in helping client organizations define and improve their data architecture. Key responsibilities include establishing effective data standards and practices, and translating diverse business requirements into scalable data structures and robust target-state architectures.</p><h3><strong>Key Responsibilities</strong></h3><ul><li>Design and maintain conceptual and logical data models aligned with business and technology requirements.</li><li>Define and apply data architecture principles, standards, and best practices.</li><li>Map data entities and domains across business capabilities, applications, and underlying data sources.</li><li>Support initiatives across data governance, metadata, data quality, data integration, and master data management (MDM).</li><li>Assess existing data architectures, identify gaps, and contribute to target-state architecture and transformation roadmaps.</li><li>Work with business and technology stakeholders to understand data requirements and translate them into practical architecture solutions.</li><li>Contribute to data architecture documentation, standards, frameworks, and governance processes.</li><li>Support wider enterprise architecture and data management initiatives across client engagements.</li></ul><h3><strong>Candidate Profile</strong></h3><p>The ideal candidate will possess a solid foundation in data architecture and data modelling, coupled with a comprehensive understanding of the wider enterprise environment. This role requires comfort in collaborating across business and technology teams, analysing current-state data landscapes, and defining practical target-state data architectures.</p><h3><strong>Qualifications and Experience</strong></h3><ul><li>Proven experience in data architecture and modelling.</li><li>Ability to work effectively with both business and technology stakeholders.</li><li>Experience in assessing existing data architectures and contributing to transformation roadmaps.</li><li>A minimum of <strong>3-5 years</strong> of relevant professional experience is required.</li></ul><h3><strong>Location and Employment Type</strong></h3><p>This is a <strong>full-time</strong> position based in <strong>Riyadh, Saudi Arabia</strong>. The role involves working within a client-facing consultancy environment.</p>

Role Purpose Lead the advisory engagement supporting the establishment and activation of the Data Management Office (DMO), ensuring alignment with NDMO national data management standards, relevant regulations, and leading practices. Key Responsibilities Lead the current-state assessment and gap analysis of the entity's data management capabilities, and define the target operating model and roadmap. Design the data governance framework, including the government data model, governance structure, roles and responsibilities, policies, and procedures. Establish the DMO's data governance domains in line with NDMO requirements (data governance, data quality, metadata, reference/master data, personal data protection, data lifecycle, and data integration/interoperability). Advise on activating the first data governance cycles and embedding them within the entity's institutional structure to enable an actual operational start within the contract period. Provide technical direction and quality assurance across all deliverables and act as the primary point of alignment with the client's leadership. Required Profileprofessional (3+ years) in data management / data governance, with hands-on experience delivering NDMO-aligned programs in the Saudi public sector; recognized data governance certification (e.g., CDMP) preferred.

<p>Job Description Data Architect Job Title: Data Architect Experience: 8 10 Years / 12 18 Years Employment Type: Full-Time Location: Riyadh, Saudi Arabia (Preferred) / Egypt / Jordan / Pakistan / India Role Overview We are seeking an experienced Data Architect to design, implement, and govern enterprise-scale data architecture solutions that support business transformation and analytics initiatives. The ideal candidate will define enterprise data standards, architecture frameworks, and governance practices while collaborating with business and technology stakeholders to deliver scalable, secure, and high-quality data solutions. Key Responsibilities Design and maintain enterprise data architecture, data models, and data integration frameworks. Define and implement data architecture standards, best practices, and governance principles. Collaborate with business and technical stakeholders to translate business requirements into scalable data solutions. Lead data modeling, data integration, and information management initiatives across the enterprise. Ensure data quality, consistency, security, and compliance across enterprise data platforms. Provide architectural guidance for cloud data platforms, analytics, and modernization programs. Develop enterprise data roadmaps aligned with organizational strategy. Present architecture recommendations and solution designs to business and executive stakeholders.</p><p><strong>Desired Candidate Profile</strong></p><p>Must Have 8 10 years or 12 18 years of experience in Data Architecture , Enterprise Data Management , or a related field. TOGAF and/or DAMA Certification (Mandatory). Strong expertise in: Enterprise Data Architecture Data Governance Data Modeling Master Data Management (MDM) Data Integration Metadata Management Excellent business communication, stakeholder management, and presentation skills. Ability to engage with senior business and technology leadership. Good to Have Experience with cloud data platforms (Azure, AWS, or GCP). Knowledge of Data Warehouse, Data Lake, and Lakehouse architectures. Familiarity with enterprise architecture frameworks and modern data management practices. Experience working in Agile delivery environments.</p>

Data Engineer – Industrial & Refinery Data <br>Experience: 8+ Years Location: Riyadh, KSA<br><br>Key Responsibilities Design and implement real-time and historical data pipelines for refinery data. Integrate process historians, OT systems, laboratory, asset and engineering data. Develop data models and contextual relationships across equipment, tags and process units. Build data validation, reconciliation, monitoring and exception-handling processes. Optimize pipelines for performance, scalability, reliability and security. Prepare high-quality datasets and governed data services for AI/ML, analytics and reporting

<p>The expert will define the enterprise-wide data architecture for a complex, multi-entity organization. The role will translate business and data strategy into a coherent target architecture, common data models, integration patterns, platform capabilities, governance standards and a phased transition roadmap, while enabling interoperability across business units and entities.</p><p>Key Responsibilities</p><ul><li>Assess the current data landscape across business units and entities, including data sources, platforms, models, flows, integrations, ownership, dependencies and key pain points.</li><li>Define enterprise data architecture principles, standards and the target-state architecture across data ingestion, integration, storage, processing, sharing, analytics and AI enablement.</li><li>Develop conceptual and logical enterprise data models, canonical models and common definitions for priority data domains.</li><li>Define data-domain boundaries, data-product interfaces and interoperability standards for a federated, multi-entity environment.</li><li>Establish architecture patterns for APIs, event-driven integration, batch exchange and secure data sharing across internal and external ecosystems.</li><li>Advise on the architecture of data lakehouse or warehouse platforms, master and reference data, metadata catalogues, lineage, data quality, security and privacy controls.</li><li>Align the data architecture with business capabilities, application architecture, technology strategy and enterprise-wide transformation priorities.</li><li>Define data architecture governance, decision rights, design-review gates, reusable patterns and exception-management processes.</li><li>Identify architecture gaps, dependencies and migration priorities, and develop a practical transition roadmap.</li><li>Facilitate architecture workshops and translate complex technical decisions into clear recommendations for senior stakeholders.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>15+ years of relevant experience in data architecture, enterprise information architecture, data engineering or large-scale data transformation. Proven experience defining enterprise-wide data architecture for a large, complex organization, conglomerate, public-sector ecosystem or other multi-entity environment. Strong expertise in conceptual and logical data modelling, enterprise data domains, canonical models and data interoperability. Deep understanding of modern data platforms, including cloud or hybrid data architectures, lakehouse or warehouse patterns, data integration and analytics ecosystems. Strong knowledge of data governance, metadata, lineage, master data management, data quality, security and privacy-by-design principles. Experience establishing federated architecture standards and aligning diverse business units and entities around common enterprise patterns. Ability to connect data architecture decisions to business outcomes, operating-model implications, investment requirements and implementation priorities, and communicate them clearly to senior stakeholders</p>

<h3 >About the Role</h3> <p >TawanTech is seeking a <strong >Senior Data Engineer</strong> to join our team in Riyadh, Riyadh Province. This full-time role focuses on designing, developing, and optimizing scalable data platforms and pipelines specifically within the banking and financial services domain. The ideal candidate will possess strong expertise in Python, SQL, big data technologies, and cloud-based data ecosystems to build robust and secure data solutions.</p> <h3 >Role Contribution</h3> <p >As a Senior Data Engineer, you will be instrumental in creating scalable data solutions that directly support critical business functions. These include regulatory reporting, risk management, customer analytics, and various business intelligence initiatives. Your work will ensure data integrity, security, and compliance across all platforms.</p> <h3 >Key Responsibilities</h3> <ul > <li >Design, develop, and maintain scalable ETL/ELT pipelines for processing large volumes of banking and financial data.</li> <li >Build and optimize data workflows using Apache Spark and Apache Airflow.</li> <li >Design and implement Data Warehouse and Data Lake architectures to support enterprise banking analytics and reporting requirements.</li> <li >Develop and maintain high-performance data models for transactional, customer, risk, and regulatory data.</li> <li >Collaborate with business stakeholders, data analysts, risk teams, and compliance teams to deliver data-driven solutions.</li> <li >Ensure data quality, governance, security, and regulatory compliance across data platforms.</li> <li >Implement monitoring, troubleshooting, and performance tuning for data pipelines and processing frameworks.</li> <li >Leverage cloud platforms or Cloudera ecosystem technologies to build and manage modern data infrastructure.</li> <li >Drive CI/CD implementation and DataOps best practices to improve deployment efficiency and operational reliability.</li> <li >Support regulatory reporting, audit requirements, and data lineage initiatives.</li> <li >Mentor junior engineers and contribute to technical architecture and best practices.</li> </ul> <h3 >Essential Qualifications and Experience</h3> <ul > <li >Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.</li> <li ><strong >4+ years</strong> of hands-on experience in Data Engineering.</li> <li >Strong programming skills in <strong >Python</strong> and advanced <strong >SQL</strong>.</li> <li >Experience with <strong >Apache Spark</strong> for large-scale data processing and <strong >Apache Airflow</strong> for workflow orchestration and scheduling.</li> <li >Solid understanding of Data Warehouse and Data Lake architectures.</li> <li >Proven experience building and maintaining ETL/ELT pipelines.</li> <li >Experience with cloud platforms (AWS, Azure, or GCP) or the Cloudera ecosystem.</li> <li >Strong knowledge of data modeling techniques and performance optimization strategies.</li> <li >Experience implementing CI/CD pipelines and DataOps methodologies.</li> <li >Banking or Financial Services domain experience with exposure to financial data, regulatory reporting, risk, compliance, or customer analytics.</li> <li >Excellent problem-solving, analytical, and communication skills.</li> </ul> <h3 >Desirable Skills and Experience</h3> <ul > <li >Experience with banking data domains such as Core Banking, Payments, Lending, Treasury, Risk, AML, KYC, or Regulatory Reporting.</li> <li >Knowledge of financial data governance, security, and compliance standards.</li> <li >Experience with real-time and batch data processing in highly regulated environments.</li> <li >Familiarity with containerization technologies such as Docker and Kubernetes.</li> <li >Experience with data lineage, metadata management, and data quality frameworks.</li> </ul> <h3 >Work Setting</h3> <p >This is a full-time position based in Riyadh, offering an opportunity to contribute to significant data initiatives within the financial sector. Salary details will be discussed during the interview process.</p>

<h3 >About Masterworks</h3> <p >Masterworks is an IT services company committed to delivering effective solutions. The organization is seeking a dedicated professional to join its team in a full-time capacity, focusing on enhancing its data management capabilities and ensuring robust data governance across all operations.</p> <h3 >The Role: Data Management, Specialist</h3> <p >The Data Management, Specialist will play a pivotal role in supporting the effective management, governance, and continuous improvement of organizational data. This position involves contributing to initiatives that enhance data quality, governance, accessibility, and overall data management practices, working closely with both business and technical stakeholders to align data practices with organizational requirements.</p> <h3 >Key Responsibilities</h3> <ul > <li >Support the implementation and continuous improvement of data management practices and frameworks.</li> <li >Support and coordinate data management projects and initiatives across the organization.</li> <li >Develop, maintain, and implement data management policies, procedures, standards, and guidelines.</li> <li >Assess compliance with applicable data management requirements, policies, and controls.</li> <li >Prepare compliance assessments, reports, findings, and recommendations.</li> <li >Support data governance activities and promote effective data management practices across business functions.</li> <li >Collaborate with business, IT, and data stakeholders to identify and address data management requirements and issues.</li> <li >Support initiatives related to data quality, data governance, metadata, data classification, and data lifecycle management.</li> <li >Monitor data management activities and support the identification and resolution of data-related issues.</li> <li >Prepare and present data management reports, updates, and recommendations to relevant stakeholders.</li> <li >Build and maintain strong relationships with internal stakeholders to support data management initiatives.</li> <li >Stay up to date with data management standards, frameworks, and industry best practices.</li> </ul> <h3 >Education and Professional Experience</h3> <ul > <li >Bachelor's degree in Information Technology, Computer Science, Information Systems, Data Management, or a related field.</li> <li >A minimum of <strong >5 years of relevant experience</strong> in data management, data governance, or a related field.</li> </ul> <h3 >Required Skills and Knowledge</h3> <ul > <li >Proven experience in project management and delivering data-related initiatives.</li> <li >Practical experience and strong knowledge of data management principles, processes, and practices.</li> <li >Experience in compliance assessment, monitoring, and reporting.</li> </ul> <h3 >Certifications</h3> <ul > <li >Certified Data Management Professional (CDMP)</li> <li >Certified Information Privacy Manager (CIPM)</li> <li >Certified Information Privacy Technologist (CIPT)</li> </ul>

<p>The Data and AI Architect is responsible for defining and governing the organization's enterprise data architecture while extending it to support Artificial Intelligence (AI), Machine Learning (ML), and MLOps capabilities. The role ensures that enterprise data assets are trusted, governed, secure, and optimized to enable advanced analytics, scalable AI solutions, and data-driven decision-making across the organization.</p><p><strong>Desired Candidate Profile</strong></p><ul><li><strong>Education</strong> Bachelor's degree in Computer Engineering, Computer Science, Information Technology, Data Science, or a related field (required). Master's degree in Data Science, Artificial Intelligence, Computer Science, or a related discipline is preferred.</li><li><strong>Experience</strong> Minimum 15+ years of progressive experience in enterprise data architecture, data governance, and information management. Proven experience designing enterprise-scale data platforms and integrating AI and machine learning capabilities into enterprise architectures. Experience establishing enterprise data standards, governance frameworks, and technology roadmaps.</li><li><strong>Required Qualifications</strong> Bachelor's degree in Computer Engineering, Computer Science, Information Systems, or a related field. 15+ years of experience in enterprise data architecture, data governance, and enterprise analytics. Strong experience designing enterprise data platforms, data lakes, data warehouses, and cloud-native data architectures. Hands-on knowledge of AI/ML platforms, MLOps frameworks, and enterprise AI architectures. Experience with enterprise integration technologies, APIs, event-driven architectures, and distributed data platforms. Strong understanding of data governance, metadata management, master data management, and data quality frameworks. Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform. Knowledge of enterprise architecture frameworks such as TOGAF and architecture governance practices. Strong stakeholder management, communication, and leadership skills.</li><li><strong>Preferred Certifications</strong> TOGAF Certification Microsoft Azure Solutions Architect Expert AWS Certified Solutions Architect Professional Google Professional Cloud Architect DAMA Certified Data Management Professional (CDMP) Microsoft Azure AI Engineer Associate AWS Certified Machine Learning Specialty</li><li><strong>Technical Competencies</strong> Enterprise Data Architecture Data Governance &amp; Data Quality Master Data Management (MDM) Metadata Management &amp; Data Catalog Data Warehousing &amp; Data Lakes Lakehouse Architecture AI &amp; Generative AI Architecture Machine Learning &amp; MLOps Enterprise Integration &amp; APIs Security, Privacy &amp; Compliance Analytics &amp; Business Intelligence Architecture Governance DevSecOps &amp; CI/CD for AI</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>The Data and AI Architect is responsible for defining and governing the organization's enterprise data architecture while extending it to support Artificial Intelligence (AI), Machine Learning (ML), and MLOps capabilities.<br> The role ensures that enterprise data assets are trusted, governed, secure, and optimized to enable advanced analytics, scalable AI solutions, and data-driven decision-making across the organization.<br> Education Bachelor's degree in Computer Engineering, Computer Science, Information Technology, Data Science, or a related field (required).<br> Master's degree in Data Science, Artificial Intelligence, Computer Science, or a related discipline is preferred.<br> Experience Minimum 15+ years of progressive experience in enterprise data architecture, data governance, and information management.<br> Proven experience designing enterprise-scale data platforms and integrating AI and machine learning capabilities into enterprise architectures.<br> Experience establishing enterprise data standards, governance frameworks, and technology roadmaps.<br> Required Qualifications Bachelor's degree in Computer Engineering, Computer Science, Information Systems, or a related field.<br> 15+ years of experience in enterprise data architecture, data governance, and enterprise analytics.<br> Strong experience designing enterprise data platforms, data lakes, data warehouses, and cloud-native data architectures.<br> Hands-on knowledge of AI/ML platforms, MLOps frameworks, and enterprise AI architectures.<br> Experience with enterprise integration technologies, APIs, event-driven architectures, and distributed data platforms.<br> Strong understanding of data governance, metadata management, master data management, and data quality frameworks.<br> Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.<br> Knowledge of enterprise architecture frameworks such as TOGAF and architecture governance practices.<br> Strong stakeholder management, communication, and leadership skills.<br> Preferred Certifications TOGAF Certification Microsoft Azure Solutions Architect Expert AWS Certified Solutions Architect – Professional Google Professional Cloud Architect DAMA Certified Data Management Professional (CDMP) Microsoft Azure AI Engineer Associate AWS Certified Machine Learning – Specialty Technical Competencies Enterprise Data Architecture Data Governance &amp; Data Quality Master Data Management (MDM) Metadata Management &amp; Data Catalog Data Warehousing &amp; Data Lakes Lakehouse Architecture AI &amp; Generative AI Architecture Machine Learning &amp; MLOps Enterprise Integration &amp; APIs Security, Privacy &amp; Compliance Analytics &amp; Business Intelligence Architecture Governance DevSecOps &amp; CI/CD for AI</span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </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 >About the Role</h3> <p >stc is seeking a <strong >Data Governance Expert</strong> to support the implementation and enhancement of data governance practices. This full-time role focuses on ensuring alignment with national and internal data management directives, contributing to data quality, privacy, and regulatory compliance. The position is suitable for candidates with 0-1 years of experience.</p> <h3 >Role Purpose</h3> <p >The Data Governance Expert is responsible for supporting the implementation and enhancement of Specialized’s data governance practices. This includes data architecture, data classification, lifecycle management, Identity and Access Management (IAM), and open data activities. The role ensures adherence to NDMO and PDPL requirements, internal governance standards, and stc Group data management directives, while also contributing to continuous improvement in data management.</p> <h3 >Key Responsibilities</h3> <ul > <li >Support the development and maintenance of enterprise data architecture in alignment with business objectives and stc Group data management standards.</li> <li >Monitor and track KPIs related to NDMO and PDPL domain maturity, identifying gaps and supporting required improvement actions.</li> <li >Contribute to the implementation and maintenance of the Identity and Access Management (IAM) framework, policies, and controls.</li> <li >Implement data governance policies, standards, and guidelines in alignment with stc Group directives and applicable regulatory requirements.</li> <li >Maintain data governance policies, procedures, and related documentation within centralized repositories to ensure accuracy and accessibility.</li> <li >Support the implementation of data classification and lifecycle management practices covering data retention, archival, and secure disposal.</li> <li >Execute and coordinate open data management activities, including dataset identification, preparation, publication, and periodic updates.</li> <li >Conduct quality reviews of published open data and associated metadata to ensure accuracy, completeness, and relevance.</li> <li >Monitor open data activities and apply appropriate privacy and data protection controls to ensure alignment with national data classification and privacy requirements.</li> <li >Coordinate with internal stakeholders to support open data publication priorities and ensure alignment with organizational transparency objectives.</li> <li >Support data governance and open data awareness initiatives in coordination with relevant stakeholders and the Data Governance Council.</li> <li >Identify opportunities to enhance data governance practices based on regulatory developments, operational needs, and recognized best practices.</li> </ul> <h3 >Experience and Qualifications</h3> <ul > <li >0-1 years of relevant experience.</li> <li >Understanding of data governance principles, data architecture, data classification, and lifecycle management.</li> <li >Familiarity with Identity and Access Management (IAM) frameworks.</li> <li >Knowledge of NDMO and PDPL requirements is preferred.</li> </ul> <h3 >Work Environment</h3> <p >This is a full-time position within stc, requiring adherence to stipulated business policies and procedures. The role involves coordination with various internal stakeholders and the Data Governance Council.</p> <h3 >Application Process</h3> <p >Candidates interested in this Data Governance Expert role are encouraged to apply.</p>

Job Purpose:Responsible for collecting, analyzing, and interpreting data to support business decisions and improve overall performance. The role will transform data into meaningful insights.<br>Key Responsibilities:Collect, clean, validate, and analyze data from multiple sources. Prepare regular and ad-hoc reports based on business requirements. Develop and maintain dashboards and data visualizations. Identify trends, patterns, and insights within datasets. Ensure data accuracy, consistency, and integrity. Perform data quality checks and resolve data discrepancies. Automate repetitive reports and data processes where possible. Collaborate with different departments to understand data requirements. Present analytical findings and recommendations to stakeholders. Support management with data-driven insights and recommendations.<br>Requirements:Bachelor's degree in Data Analytics, Statistics, Computer Science, Information Systems, Business Administration, or a related field.2–4 years of experience in Data Analysis or a related role. Strong proficiency in Microsoft Excel. Experience with Power BI or other data visualization tools. Knowledge of SQL is preferred. Strong analytical and problem-solving skills. Good attention to detail. Strong communication and presentation skills. Ability to work with large datasets and multiple data sources.

<p>We are seeking an experienced Enterprise Data Architect to lead enterprise-wide data architecture initiatives, define strategic data frameworks, and establish best practices for data governance, integration, and information management. The ideal candidate will work closely with business and technology stakeholders to design scalable, secure, and future-ready data architecture solutions aligned with organizational objectives.</p><p><b>Key Responsibilities</b></p><ul><li>Design and implement enterprise data architecture strategies and roadmaps.</li><li>Define and maintain enterprise data models, architecture standards, and governance frameworks.</li><li>Collaborate with business and technology teams to align data architecture with business goals.</li><li>Develop data architecture principles, standards, and best practices.</li><li>Ensure consistency, quality, security, and scalability of enterprise data assets.</li><li>Provide architecture guidance for data integration, analytics, and modernization initiatives.</li><li>Present architectural solutions and recommendations to senior leadership and stakeholders.</li><li>Support enterprise data governance and information management programs.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>8 10 years or 12 18 years of experience in Enterprise Data Architecture, Data Management, or related domains.</li><li>TOGAF and/or DAMA Certification (mandatory).</li><li>Strong expertise in enterprise data architecture, data governance, and information management.</li><li>Excellent business communication, stakeholder management, and presentation skills.</li><li>Ability to engage with senior business and technology leadership.</li></ul>

<p>The expert will define the enterprise-wide data architecture for a complex, multi-entity organization. The role will translate business and data strategy into a coherent target architecture, common data models, integration patterns, platform capabilities, governance standards and a phased transition roadmap, while enabling interoperability across business units and entities.</p><p><b>Key Responsibilities</b></p><ul><li>Assess the current data landscape across business units and entities, including data sources, platforms, models, flows, integrations, ownership, dependencies and key pain points.</li><li>Define enterprise data architecture principles, standards and the target-state architecture across data ingestion, integration, storage, processing, sharing, analytics and AI enablement.</li><li>Develop conceptual and logical enterprise data models, canonical models and common definitions for priority data domains.</li><li>Define data-domain boundaries, data-product interfaces and interoperability standards for a federated, multi-entity environment.</li><li>Establish architecture patterns for APIs, event-driven integration, batch exchange and secure data sharing across internal and external ecosystems.</li><li>Advise on the architecture of data lakehouse or warehouse platforms, master and reference data, metadata catalogues, lineage, data quality, security and privacy controls.</li><li>Align the data architecture with business capabilities, application architecture, technology strategy and enterprise-wide transformation priorities.</li><li>Define data architecture governance, decision rights, design-review gates, reusable patterns and exception-management processes.</li><li>Identify architecture gaps, dependencies and migration priorities, and develop a practical transition roadmap.</li><li>Facilitate architecture workshops and translate complex technical decisions into clear recommendations for senior stakeholders.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>15+ years of relevant experience in data architecture, enterprise information architecture, data engineering or large-scale data transformation. Proven experience defining enterprise-wide data architecture for a large, complex organization, conglomerate, public-sector ecosystem or other multi-entity environment. Strong expertise in conceptual and logical data modelling, enterprise data domains, canonical models and data interoperability. Deep understanding of modern data platforms, including cloud or hybrid data architectures, lakehouse or warehouse patterns, data integration and analytics ecosystems. Strong knowledge of data governance, metadata, lineage, master data management, data quality, security and privacy-by-design principles. Experience establishing federated architecture standards and aligning diverse business units and entities around common enterprise patterns. Ability to connect data architecture decisions to business outcomes, operating-model implications, investment requirements and implementation priorities, and communicate them clearly to senior stakeholders</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Inbox Business Technologies is looking for an experienced Data Science &amp; Governance SME 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.<br> Employment Type: Full-time employment Responsibilities Serve as the authority on data governance (DAMA-DMBOK), data quality, data management, data privacy/PDPL and BI/analytics for all programme content.<br> Review and validate the technical accuracy of data-domain content — governance, quality, privacy, roles-and-responsibilities and BI messaging.<br> Co-design the data-literacy framework and the Data Awareness Survey, and advise on data-literacy assessment measures under Segment 3.<br> Support executive briefings and immersion sessions with data-domain credibility.<br> Interpret data-literacy metrics with the Adoption Analyst and recommend content or intervention adjustments.<br> Maintain alignment with TAWAL's data strategy, policies and the KSA regulatory context (PDPL, NDMO, SDAIA).<br> 8–12 years in data governance, data management, data quality or analytics, ideally with advisory or change-enablement exposure.<br> Experience in enterprise or telecom/infrastructure data environments preferred.<br> Familiarity with the KSA regulatory context (PDPL, NDMO, SDAIA) strongly preferred.<br> Data governance and DAMA-DMBOK; data quality and data management.<br> Data privacy / PDPL; BI &amp; analytics; data science / analytics concepts.<br> Data-literacy framework and awareness-survey design.<br> Translating technical concepts for business audiences; stakeholder advisory.<br> Certifications in CDMP (DAMA) — preferred; Informatica or a cloud data-governance certification — a plus.<br> Language: English (fluent).<br></span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </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"> <span>Master Works is seeking a Data Availability, Senior Specialist to support the effective management, accessibility, and availability of organizational data.<br> The role will contribute to data management initiatives, assess compliance with relevant data requirements, and support projects that enhance data accessibility and governance.<br> You will work closely with business and technical stakeholders to ensure data is effectively managed, accessible, and aligned with organizational requirements.<br> Key Responsibilities Support the implementation and continuous improvement of data availability and data management practices .<br> Manage and contribute to projects related to data accessibility, availability, and management.<br> Assess compliance with applicable data management requirements, policies, and controls.<br> Prepare compliance assessments, reports, and recommendations for improvement.<br> Support the development and implementation of data management policies, procedures, and standards.<br> Collaborate with business, IT, data, and other stakeholders to identify and address data availability requirements.<br> Monitor data management activities and support the identification and resolution of data-related issues.<br> Contribute to improving data accessibility, usability, and availability across the organization.<br> Support data management governance activities and ensure alignment with organizational policies and standards.<br> Prepare and present reports, updates, and recommendations to relevant stakeholders.<br> Build effective relationships with internal stakeholders and support cross-functional data initiatives.<br> Stay up to date with developments, standards, and best practices in data management and data governance.<br> Education Bachelor's degree in information technology , Computer Science, Data Management, Information Systems, or a related field.<br> Experience 5+ years of relevant experience in data availability, data management, data governance, or a related field.<br> Experience in project management and delivering data-related initiatives.<br> Practical experience and knowledge of data management principles, processes, and practices .<br> Experience in compliance assessment, monitoring, and reporting is preferred.<br> Knowledge &amp; Skills Strong knowledge of data management and data governance concepts.<br> Good understanding of data availability, accessibility, and management practices .<br> Ability to assess compliance against data-related requirements, policies, and controls.<br> Strong reporting and analytical skills, with the ability to translate findings into clear recommendations.<br> Strong communication and stakeholder management skills.<br> Ability to build and maintain effective relationships with business and technical stakeholders.<br> Strong project coordination and organizational skills.<br> Good problem-solving and analytical capabilities.<br> Certifications Certified Data Management Professional (CDMP) Certified Information Privacy Manager (CIPM) Certified Information Privacy Technologist (CIPT) Location : Client Site</span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </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 >About the Role</h3> <p >ASMO is seeking a <strong >Data Governance Specialist</strong> to join their team in Saudi Arabia. This full-time role is central to developing and maintaining high-quality data standards and governance measures within the organization. The specialist will monitor technology standards and compliance, ensuring effective data utilization to support business success.</p> <h3 >Key Responsibilities</h3> <ul > <li >Execute the data governance and data quality strategy, integrating industry best practices.</li> <li >Define, deploy, and communicate data quality policies, procedures, and guidelines across all business units to ensure proper data usage and maintenance.</li> <li >Manage the Personal Data Protection agenda within ASMO and monitor compliance.</li> <li >Monitor current data quality, identify gaps and root causes, and efficiently resolve issues.</li> <li >Execute data quality business cases, establishing and measuring variances between actual and target outcomes.</li> <li >Develop terms of reference for data quality programs and launch new and improved programs organization-wide.</li> <li >Establish control measures and procedures for data management information (MI) in line with organizational frameworks and guidelines.</li> <li >Execute the data quality implementation roadmap, making necessary changes and enhancements to people, processes, technology, and information.</li> <li >Conduct data quality projects from inception to implementation, including performance tracking and communication.</li> <li >Continuously evaluate and improve data quality processes, tools, and methodologies to enhance overall data governance and data quality.</li> <li >Incorporate feedback from external technology auditors into controls to ensure compliance of Technology systems at ASMO.</li> <li >Stay updated on KSA data protection laws, regulations, and industry best practices to ensure compliance.</li> <li >Utilize enhanced cybersecurity measures to protect data and integrate them into protective measures against data theft, breaches, or loss.</li> </ul> <h3 >Experience and Qualifications</h3> <p >Candidates should possess <strong >5-10 years of relevant experience</strong> in data governance, data quality, or a related field. The role requires a strong understanding of industry best practices and regulatory compliance, particularly with KSA data protection laws.</p> <h3 >Work Environment</h3> <p >This is a <strong >full-time position</strong> based in Saudi Arabia, where the specialist will contribute to a dynamic environment focused on maintaining high-quality data and driving business success through effective data utilization.</p>

<p>Key Responsibilities: Verify and validate CMMS/SAP maintenance data Maintain equipment master data and work order accuracy Perform data audits and support data cleanup initiatives Collaborate with maintenance and system support teams Generate data verification reports and improve data quality</p><p><strong>Desired Candidate Profile</strong></p><p>Key Requirements: Diploma in Engineering, Computer Science, or IT Minimum 2 years of experience in data verification, maintenance planning, or CMMS data management Experience with maintenance software, asset management, and maintenance workflow optimization in Oil &amp; Gas Strong attention to detail and data quality Intermediate English communication skills</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Why This Role Matters</span> <p><span>The Principal Specialist, BU Data Domain serves as the accountable owner of a Business Unit's data domain, ensuring that data is trusted, governed, consistent, and aligned with both operational requirements and enterprise standards. The role enables accurate decision-making, meaningful performance measurement, and scalable analytics by establishing clear ownership of domain data, KPIs, and business definitions.&nbsp;</span></p><br> <p><span>By strengthening governance, data quality, and semantic consistency across the domain, the role ensures that business-critical data products can be confidently used across reporting, operational management, analytics, and AI-driven initiatives. The position acts as the bridge between business operations and enterprise data capabilities, translating business needs into structured and reusable data assets.&nbsp;</span></p><br> <p><span>The role also drives enterprise alignment by representing the Business Unit in governance forums, influencing cross-domain standards, and ensuring local business requirements are integrated into Ma’aden’s broader data and digital strategy without compromising consistency or control.&nbsp;</span></p><br><span>What You Will Deliver</span> <span>Domain Ownership &amp; Data Integrity</span> <ul> <li><span>Establish clear ownership and accountability for domain data, business definitions, and performance metrics.</span></li> <li><span>Strengthen the quality, consistency, and fitness-for-purpose of domain data across business processes and systems.</span></li> <li><span>Ensure domain data accurately reflects operational realities, business requirements, and regulatory obligations.</span></li> </ul><span>Data Products &amp; Business Value</span> <ul> <li><span>Enable the development of trusted and reusable data products that support operational excellence, analytics, and AI use cases.</span></li> <li><span>Translate Business Unit requirements into scalable data solutions that deliver measurable business value.</span></li> <li><span>Improve access to reliable data that supports decision-making, performance management, and business planning.</span></li> </ul><span>Governance &amp; Standards Alignment</span> <ul> <li><span>Drive adoption of enterprise data governance standards while ensuring relevance to Business Unit needs.</span></li> <li><span>Align domain practices with enterprise architecture, data policies, and cross-domain governance requirements.</span></li> <li><span>Strengthen consistency of data definitions, KPIs, and reporting frameworks across the organization.</span></li> </ul><span>Stakeholder Leadership &amp; Business Engagement</span> <ul> <li><span>Serve as the primary data representative for the Business Unit on strategic data matters.</span></li> <li><span>Influence business and technical stakeholders to achieve alignment on data priorities, standards, and outcomes.</span></li> <li><span>Facilitate data-driven decision-making through clear communication and governance leadership.</span></li> </ul><span>Data Quality &amp; Continuous Improvement</span> <ul> <li><span>Improve data quality performance through proactive monitoring, issue resolution, and stewardship practices.</span></li> <li><span>Lead initiatives that enhance data reliability, usability, and business confidence.</span></li> <li><span>Drive continuous improvement of domain governance, data management practices, and value realization.</span></li> </ul><span>What Success Looks Like</span> <ul> <li><span>Domain data is trusted, accurate, and consistently used across reporting, analytics, and operational processes.</span></li> <li><span>Business definitions, KPIs, and data standards are clearly defined and adopted across stakeholders.</span></li> <li><span>Data quality issues are proactively managed and resolved with measurable improvement in data reliability.</span></li> <li><span>Domain data products support business objectives, analytics requirements, and AI initiatives.</span></li> <li><span>Business Unit priorities are effectively represented within enterprise governance and decision-making forums.</span></li> <li><span>Enterprise and Business Unit standards remain aligned without compromising operational requirements.</span></li> </ul><span>Minimum Qualifications</span> <ul> <li><span>Bachelor's degree in Business, Engineering, Information Systems, Data Management, or a related discipline.</span></li> <li><span>Master's degree or equivalent domain expertise is advantageous.</span></li> </ul><span>Experience</span> <ul> <li><span>10+ years of experience within a Business Unit domain, data management, analytics, or enterprise information management environments.&nbsp;</span></li> <li><span>Experience owning domain definitions, KPI frameworks, and data quality outcomes.&nbsp;</span></li> <li><span>Proven experience working across business and technology functions to establish governance and data management practices.&nbsp;</span></li> <li><span>Demonstrated ability to influence senior stakeholders and drive alignment without direct authority.</span></li> </ul><span>Skills That Matter</span> <span>Functional Expertise</span> <ul> <li><span>Data Domain Management</span></li> <li><span>KPI Definition &amp; Performance Frameworks</span></li> <li><span>Data Governance &amp; Stewardship</span></li> <li><span>Data Quality Management</span></li> <li><span>Enterprise Information Management</span></li> <li><span>Data Product Ownership</span></li> </ul><span>Business &amp; Delivery</span> <ul> <li><span>Business–Technical Translation</span></li> <li><span>Data Strategy Execution</span></li> <li><span>Governance Framework Implementation</span></li> <li><span>Analytics &amp; Reporting Enablement</span></li> <li><span>Process Alignment &amp; Standardization</span></li> <li><span>Decision Support &amp; Insights</span></li> </ul><span>People &amp; Collaboration</span> <ul> <li><span>Stakeholder Management</span></li> <li><span>Influencing &amp; Negotiation</span></li> <li><span>Change Leadership</span></li> <li><span>Cross-Functional Collaboration</span></li> <li><span>Communication &amp; Facilitation</span></li> <li><span>Enterprise Thinking</span></li> </ul><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"> 8+ years </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 >About the Role</h3> <p >Aventus Global Talent is seeking a <strong >Data Sharing Specialist</strong> to join a significant Saudi-level data initiative in <strong >Riyadh</strong>. This is a <strong >contract</strong> position focused on advancing data governance and open data frameworks within the Kingdom. The role offers an opportunity to contribute to national digital transformation efforts.</p> <h3 >Role Context and Purpose</h3> <p >The specialist will contribute to the strategic development and implementation of data sharing policies and compliance frameworks. This position is integral to supporting digital transformation by ensuring effective and compliant data exchange across various platforms, aligning with established national data principles.</p> <h3 >Key Responsibilities</h3> <ul > <li >Process data sharing requests and open data submissions in line with established policies and principles.</li> <li >Support the requirements for Saudi data platforms, including the National Data Catalog (NDC) and the Open Data Platform (ODP).</li> <li >Ensure strict compliance with Saudi data regulations and relevant legislation.</li> <li >Update and monitor operational performance indicators (KPIs) across relevant departments.</li> </ul> <h3 >Required Qualifications</h3> <ul > <li ><strong >Saudi Nationality</strong> is a mandatory requirement for this position.</li> <li >A minimum of <strong >5 years of relevant experience</strong> in data management, data governance, or a closely related field.</li> <li >Strong understanding of data sharing policies and compliance frameworks.</li> <li >Familiarity with Saudi data platforms is considered an advantage.</li> </ul> <h3 >Experience and Expertise</h3> <p >The ideal candidate will possess 5 to 10 years of professional experience, demonstrating a solid background in managing data-related initiatives. Expertise in ensuring regulatory adherence and operational efficiency within data ecosystems is essential for success in this role, contributing to a robust data environment.</p> <h3 >Application Process</h3> <p >Interested candidates who meet the specified requirements are encouraged to apply. This role offers an opportunity to contribute to significant national data initiatives within Riyadh.</p>

<p>Role Overview The expert will define the enterprise-wide data architecture for a complex, multi-entity organization. The role will translate business and data strategy into a coherent target architecture, common data models, integration patterns, platform capabilities, governance standards and a phased transition roadmap, while enabling interoperability across business units and entities. Key Responsibilities Assess the current data landscape across business units and entities, including data sources, platforms, models, flows, integrations, ownership, dependencies and key pain points. Define enterprise data architecture principles, standards and the target-state architecture across data ingestion, integration, storage, processing, sharing, analytics and AI enablement. Develop conceptual and logical enterprise data models, canonical models and common definitions for priority data domains. Define data-domain boundaries, data-product interfaces and interoperability standards for a federated, multi-entity environment. Establish architecture patterns for APIs, event-driven integration, batch exchange and secure data sharing across internal and external ecosystems. Advise on the architecture of data lakehouse or warehouse platforms, master and reference data, metadata catalogues, lineage, data quality, security and privacy controls. Align the data architecture with business capabilities, application architecture, technology strategy and enterprise-wide transformation priorities. Define data architecture governance, decision rights, design-review gates, reusable patterns and exception-management processes. Identify architecture gaps, dependencies and migration priorities, and develop a practical transition roadmap. Facilitate architecture workshops and translate complex technical decisions into clear recommendations for senior stakeholders.</p><p><strong>Desired Candidate Profile</strong></p><p>15+ years of relevant experience in data architecture, enterprise information architecture, data engineering or large-scale data transformation. Proven experience defining enterprise-wide data architecture for a large, complex organization, conglomerate, public-sector ecosystem or other multi-entity environment. Strong expertise in conceptual and logical data modelling, enterprise data domains, canonical models and data interoperability. Deep understanding of modern data platforms, including cloud or hybrid data architectures, lakehouse or warehouse patterns, data integration and analytics ecosystems. Strong knowledge of data governance, metadata, lineage, master data management, data quality, security and privacy-by-design principles. Experience establishing federated architecture standards and aligning diverse business units and entities around common enterprise patterns. Ability to connect data architecture decisions to business outcomes, operating-model implications, investment requirements and implementation priorities, and communicate them clearly to senior stakeholders</p>