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Confidential Government

<div>
 
 
 Job Objective:
 
 
 
 Contribute to the execution of data policies and support the implementation of data lifecycle management activities in alignment with NDMO requirements.
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Apply data management policies and related procedures in daily operations.
 </li>
 <li>
 Execute data lifecycle processes from definition to disposal according to approved frameworks.
 </li>
 <li>
 Manage and document data sources and metadata to ensure consistency and reliability.
 </li>
 <li>
 Collaborate with data teams to design and update data models and core definitions.
 </li>
 <li>
 Develop and maintain dashboards and operational reports to support data-driven decision-making.
 </li>
 <li>
 Apply data quality standards within ETL/ELT processes and monitor ongoing data quality.
 </li>
 <li>
 Implement data classification and access control policies for sensitive data.
 </li>
 <li>
 Support compliance requirements and prepare periodic compliance reports.
 </li>
 <li>
 Conduct regular data validation and consistency checks across systems.
 </li>
 <li>
 Support data integration and data exchange between systems.
 </li>
 <li>
 Stay informed about regulatory changes and update operational practices accordingly.
 </li>
 <li>
 Document data correction and continuous improvement procedures.
 </li>
 <li>
 Provide analytical insights and data-driven recommendations to business teams.
 </li>
 </ul>
 
 
 Requirements and Skills:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in IT, Data Science, Statistics, Business Administration, or a related field.
 </li>
 <li>
 4+ years of hands-on experience in data management, data quality, or data analysis.
 </li>
 <li>
 Proficiency in SQL, ETL/ELT, and BI tools (Power BI, Tableau, Looker).
 </li>
 <li>
 Solid knowledge of Data Governance, Data Modeling, Data Quality, Data Architecture, Data Security, and Privacy.
 </li>
 <li>
 Strong analytical and problem-solving skills with a focus on actionable outcomes.
 </li>
 <li>
 Excellent communication skills in English and Arabic, and ability to work independently or within cross-functional teams.
 </li>
 <li>
 Familiarity with the NDMO framework and related governance and compliance requirements.
 </li>
 </ul>
 
 
</div>

Data Professional

TAWANTECH

<div><h3 class="jobSectionHeader">Key Responsibilities</h3><ul>
<li>Lead and manage data governance frameworks, policies, and procedures across the organization.
</li><li>Conduct and maintain Data Protection Impact Assessments (DPIA) and Records of Processing Activities (RoPA).
</li><li>Ensure compliance with local and international privacy laws, including GDPR and the Saudi Data Protection Law.
</li><li>Collaborate with business and IT teams to implement governance best practices and ensure data quality and integrity.
</li><li>Support audits, compliance reviews, and reporting for regulatory bodies.
</li><li>Provide training, mentorship, and advisory to internal teams on governance and compliance topics.
</li></ul><h3 class="jobSectionHeader">Qualifications &amp; Experience</h3><ul>
<li>7&ndash;10 years of experience in Data Governance/Compliance, preferably in financial services.
</li><li>Fluent in Arabic and English.
</li><li>Strong knowledge of DPIA, RoPA, and privacy frameworks (GDPR, Saudi DPL).
</li><li>Familiar with global data governance standards, including DAMA-DMBOK, ISO 38505, and ISO 27001.
</li><li>Hands-on experience in implementing data protection and compliance frameworks.
</li><li>Excellent communication, leadership, and stakeholder management skills.
</li></ul><h3 class="jobSectionHeader">Certifications (Preferred):</h3><ul>
<li>CDMP (Certified Data Management Professional)
</li><li>CIPP/E (Certified Information Privacy Professional/Europe)
</li><li>ISO 27001 Lead Implementer or equivalent</li></ul></div>

Lead Data Governance Consultant (Managed Service Resource)

Alfaisal University

<div></div><div><div><h5 class="jobSectionHeader">Overview</h5>
<div></div><div><div><div>Department College of Engineering</div>
</div><div></div><div><div>DivisionCM&#8209;iTAD</div>
</div></div><div></div><div><div><div>Job FamilyFaculty- Academic</div>
</div><div></div><div><div>Reports toDean of the College</div>
</div></div><div></div><div><div><div>LocationAlfaisal University - Riyadh
</div></div></div></div><div>The Postdoctoral Research Fellow will support a research initiative focused on developing mix designs for mortars, concrete, and earth-based materials utilized in 3D printing technologies. Duties include participating in interdisciplinary research related to innovative and sustainable materials, and restoration of historic structures. The position supports the laboratory&rsquo;s objectives by incorporating artificial intelligence, device development, computational modeling, and micro- and nano-scale material assessment to address practical needs in the construction sector.
<h4 class="jobSectionHeader">Primary Duties &amp; Responsibilities</h4>
<ul><li>Produces high-quality publications and delivers presentations at national or international conferences to disseminate findings and enhance scientific impact.</li>
<li>Contributes to interdisciplinary research initiatives that align with the lab&rsquo;s and institution&rsquo;s strategic goals, fostering collaboration across fields to address complex challenges.</li>
<li>Participates in the preparation of research proposals for external funding and supports reporting to ensure sustained project resources and compliance with grant requirements.</li>
<li>Designs, conducts, and analyzes experimental or computational research to generate valid, reproducible results across relevant scientific and engineering domains.</li>
<li>Develops and prototypes research tools, systems, or devices, ensuring accuracy, usability, and innovation to advance experimental capabilities.</li>
<li>Build and refine computational models or experimental systems that support data-driven investigations and contribute to knowledge advancement.</li>
<li>Contributes to the preparation and dissemination of research findings through publications, reports, and presentations to communicate effectively to scientific and professional audiences.</li>
<li>Supports the development of software, algorithms, or analytical methods applicable to ongoing research projects to enhance data analysis and modeling capabilities.</li>
<li>Maintains research documentation and data in a professional, organized, and secure manner to ensure accuracy, reproducibility, and compliance with data management standards.</li>
<li>Collaborates in the optimization of 3D printing parameters and material mix designs to enhance the mechanical performance, durability, and sustainability of printed construction elements.</li>
<li>Mentors students in research methodologies, experimental design, and data analysis to support academic development and advance the laboratory.</li>
<li>Performs all duties in a professional, effective, and confidential manner.</li>
<li>Performs all other related duties as required or assigned by the manager.</li>
</ul><div></div><h4 class="jobSectionHeader">Education
</h4><ul><li>Doctor of Philosophy (Ph.D.) Material science, Construction materials, Architectural Engineering, Civil Engineering, Construction Engineering or an equivalent degree from an accredited institution.
</li></ul><h4 class="jobSectionHeader">Professional Experience
</h4><ul><li>Minimum of five years of research experience supporting or conducting projects involving experimental, computational, or analytical work in engineering, or related fields.</li></ul></div></div>

Postdoctoral Research Fellow #061125

Deloitte

<div>
 
 AI &amp; Data &ndash; Data Management, Manager
 
 
 
 
 About Deloitte
 
 : When you work for us, you commit to a career at one of the largest and most prestigious professional services firms in the world. We have received numerous awards over the last few years, including Best Employer in the Middle East, and Best Consulting Firm, and the Middle East Training &amp; Development Excellence Award.
 
 
 
 Our Purpose
 
 
 
 Deloitte makes an impact that matters. Every day we challenge ourselves to do what matters most&mdash;for clients, for our people, and for society. We serve clients distinctively, bringing innovative insights, solving complex challenges and unlocking sustainable growth. We inspire our talented professionals to deliver outstanding value to clients, providing an exceptional career experience and an inclusive and collaborative culture. We contribute to society, building confidence and trust in the markets, upholding the integrity of organizations and supporting our communities.
 
 
 Our shared values guide the way we behave to make a positive, enduring impact:
 
 
 
 Technical Capabilities
 
 
 
 <ul>
 <li>
 Lead the design and implementation of enterprise-wide data management solutions (preferably using Informatica IDMC), covering Data Governance, Data Quality Metadata management &amp; Master data management (MDM) in compliance with NDMO, DAMA.
 </li>
 <li>
 Develop and implement data architecture blueprints and data integration models aligned with business needs.
 </li>
 <li>
 Manage large-scale data migration and integration programs, leveraging ETL/ELT tools and cloud-based platforms (e.g., Azure, GCP, AWS).
 </li>
 <li>
 Develop and maintain data quality frameworks (preferably using IDMC) &mdash; defining business rules, scorecards, and automated data remediation processes.
 </li>
 <li>
 Provide expertise in data cataloging tools (e.g., Collibra, Alation, Informatica, Ataccama, etc.).
 </li>
 <li>
 Oversee metadata and lineage management (Preferably leveraging Informatica Data Catalog and Axon), ensuring end-to-end data visibility.
 </li>
 <li>
 Lead master and reference data management implementations, including hierarchy management, survivorship rules, and golden record creation.
 </li>
 <li>
 Collaborate with analytics and reporting teams to ensure data availability, reliability, and single source of truth.
 </li>
 <li>
 Ensure data security, privacy, and compliance with NDMO, PDPL, GDPR and related frameworks.
 </li>
 <li>
 Lead and mentor teams on data governance frameworks, metadata strategies, and stewardship processes.
 
 
 </li>
 </ul>
 
 Functional Capabilities
 
 
 
 <ul>
 <li>
 Define and operationalize data strategies and operating models in alignment with client business objectives.
 </li>
 <li>
 Sound working knowledge of data management frameworks like NDMO, DAMA.
 </li>
 <li>
 Advise senior stakeholders on data governance maturity and roadmap development.
 </li>
 <li>
 Translate business challenges into data-driven solutions, connecting data management to business value.
 </li>
 <li>
 Partner with cross-functional teams (e.g., finance, HR, operations, digital) to embed data ownership and stewardship roles.
 </li>
 <li>
 Support change management and data literacy initiatives to strengthen organizational data culture.
 </li>
 <li>
 Develop proposals, statements of work, and contribute to practice development for data management offerings.
 </li>
 <li>
 Manage client relationships, ensure delivery excellence, and oversee junior team members&rsquo; growth.
 
 
 </li>
 </ul>
 
 Leadership Capabilities
 
 
 
 <ul>
 <li>
 Identifies and embraces our purpose and values and puts these into practice in their professional life
 </li>
 <li>
 Develops self by actively seeking opportunities for growth, shares knowledge and experiences with others, and acts as a strong brand ambassador
 </li>
 <li>
 Seeks opportunities to challenge self; teams with others across businesses and borders to deliver and takes accountability for own and team results
 </li>
 <li>
 Builds relationships and communicates effectively in order to positively influence peers and other stakeholders
 </li>
 <li>
 Understands objectives for clients and Deloitte, aligns own work to objectives and sets personal priorities
 </li>
 <li>
 Excellent communication and people skills, with a strong emphasis on team working
 </li>
 <li>
 Strong administrative and numeracy skills and ability to analyze complex data with good attention to details
 </li>
 <li>
 Demonstrated project management skills, including the ability to plan, prioritize, and execute projects within deadlines.
 </li>
 <li>
 Excellent communication and interpersonal skills to foster effective collaboration with team members and stakeholders.
 </li>
 <li>
 Proven problem-solving and critical-thinking abilities, with a focus on driving innovative solutions.
 </li>
 <li>
 Strong business acumen, identifying opportunities where data science can drive business value and growth.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
 </li>
 <li>
 8-10 years of practical experience in Data Management Platform implementations or related roles.
 </li>
 <li>
 Previous experience working on data-intensive projects and delivering data-driven insights to stakeholders.
 </li>
 <li>
 Good command of written and spoken English.
 </li>
 <li>
 Ability to handle multiple tasks and responsibilities in a deadline-oriented environment and flexible work hours.
 </li>
 <li>
 Willingness to travel across GCC region (50-75% of time)
 
 
 </li>
 </ul>
 
 Additional Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience in Big Four or Global System Integrators is a plus.
 </li>
 <li>
 Arabic language is a plus.
 </li>
 <li>
 Professional Certification in any of the data management tools (preferably Informatica IDMC) or platforms will be a plus.
 </li>
 </ul>
</div>

Manager | AI & Data | Data Management

TMC Middle East

<div>
 
 TMC Middle East is currently engaged in a consulting project with one of the Top Client in KSA.
 
 
 
 
 
 We are seeking a highly capable expert to join our client for this prestigious assignment.
 
 
 
 
 
 
 About the Role:
 
 
 
 Position: Senior AI &amp; Data Scientist
 
 
 Location: Onsite &ndash; Riyadh, Saudi Arabia
 
 
 Experience: 10+ Years
 
 
 Department: Data &amp; AI Department
 
 
 
 
 
 TMC is hiring a Lead AI Data Scientist for a strategic digital transformation initiative for a major company in KSA.
 
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 
 
 - Expertise in Python, ML frameworks (Scikit-learn, TensorFlow, PyTorch), and data
 
 
 libraries (Pandas, NumPy).
 
 
 - Strong foundation in statistics, machine learning, and applied AI (forecasting, NLP,
 
 
 Internal Only
 
 
 optimization).
 
 
 - Familiarity with containerized deployments (OpenShift, Docker).
 
 
 - Experience building APIs/microservices (FastAPI, Flask) for model integration.
 
 
 - Exposure to cloud ecosystems (Azure, GCP, AWS) is very useful for hybrid or scalable
 
 
 deployments.
 
 
 - Awareness of Generative AI concepts (LLMs, embeddings, RAG, prompt design).
 
 
 - Working understanding of Agile delivery frameworks (Scrum/Kanban).
 
 
 Consulting &amp; Behavioral Skills
 
 
 - Excellent presentation and insight-sharing abilities, capable of explaining complex AI
 
 
 outputs to diverse audiences.
 
 
 - Professional, composed, and business-aware consulting demeanor.
 
 
 - Strong collaboration and documentation discipline within Agile teams.
 
 
 - Demonstrated curiosity and commitment to continuous learning and innovation.
 
 
 - Self-driven, structured, and dependable under PMO governance.
 
 
 
 
 
 - Master&rsquo;s degree in computer science, Data Science, or related field.
 
 
 - 10+ years of professional experience, including 5+ years in AI/ML delivery.
 
 
 - Prior experience in enterprise or industrial AI projects preferred.
 
 
 - Familiarity with OpenShift or hybrid/on-prem MLOps environments is advantageous.
 
</div>

Data Scientist

Master Works

<div>
 We are seeking an experienced Enterprise Data Warehouse Designer/Modeler with specialized expertise in Teradata environments. The ideal candidate will design robust data warehouse solutions, possess strong telecommunications domain knowledge, and translate complex business requirements into optimized data models.
 
 
 
 Experience Required:
 
 Minimum 5+ years in enterprise data warehousing and data modeling
 
 
 
 Core Responsibilities
 
 
 
 
 Data Modeling &amp; Architecture
 
 
 
 <ul>
 <li>
 Design conceptual, logical, and physical data models for enterprise data warehouses
 </li>
 <li>
 Specialize in Teradata modeling including partitioning, indexing (PI, SI, NUSI), join indexes, and statistics optimization
 </li>
 <li>
 Transform source data into target EDW models; design fact/dimension tables and implement SCD Types 1, 2, 3
 
 
 </li>
 </ul>
 
 Data Profiling &amp; Analysis
 
 
 
 <ul>
 <li>
 Conduct data profiling on source systems to identify quality issues, patterns, and anomalies
 </li>
 <li>
 Analyze source data structures, relationships, and dependencies; perform data lineage and impact analysis
 
 
 </li>
 </ul>
 
 Business Requirements &amp; Collaboration
 
 
 
 <ul>
 <li>
 Understand and analyze business requirements from business units, analysts, and tribes
 </li>
 <li>
 Collaborate with business tribes (product, marketing, finance, operations), development teams, ETL developers, and DBAs
 </li>
 <li>
 Conduct discussions with source system owners and subject matter experts
 
 
 </li>
 </ul>
 
 Data Validation &amp; Documentation
 
 
 
 <ul>
 <li>
 Perform source-to-target data validation and reconciliation; execute data quality checks
 </li>
 <li>
 Create mapping documents, High-Level Design (HLD), Low-Level Design (LLD), and technical specifications
 </li>
 <li>
 Maintain data dictionary, metadata repository, and operational documentation
 
 
 </li>
 </ul>
 
 Development &amp; Implementation
 
 
 
 <ul>
 <li>
 Design and optimize database objects; implement Teradata-specific optimizations (PI/SI selection, join indexes, statistics, workload management)
 </li>
 <li>
 Write complex SQL for data analysis and validation; support ETL teams with technical guidance
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 
 Technical Expertise
 
 
 
 <ul>
 <li>
 Teradata (Required): Advanced knowledge of architecture, SQL, utilities (BTEQ, FastLoad, MultiLoad, TPT), optimization, partitioning, and indexing
 </li>
 <li>
 Oracle: Strong experience with PL/SQL and performance tuning
 </li>
 <li>
 SQL: Expert-level programming across multiple platforms (Teradata, Oracle, SQL Server)
 </li>
 <li>
 Data modeling tools (Erwin, PowerDesigner); ETL tools exposure (Ab Initio, Informatica)
 </li>
 <li>
 Data warehouse concepts: Star/snowflake schema, dimensional modeling (Kimball), normalized modeling (Inmon)
 
 
 </li>
 </ul>
 
 Domain Knowledge - Telecommunications
 
 
 
 <ul>
 <li>
 Strong understanding of telecom business processes and data domains
 </li>
 <li>
 OSS: Network inventory, provisioning, fault/performance management
 </li>
 <li>
 BSS: Billing, customer/order management, revenue assurance, product catalog
 </li>
 <li>
 Telecom KPIs: ARPU, churn rate, network utilization, service quality
 
 
 </li>
 </ul>
 
 Professional Skills
 
 
 
 <ul>
 <li>
 Full SDLC experience (Agile/Scrum, Waterfall methodologies)
 </li>
 <li>
 Product-oriented mindset with strategic thinking and business value focus
 </li>
 <li>
 Strong analytical, problem-solving skills with attention to detail
 </li>
 <li>
 Excellent communication skills; ability to explain technical concepts to non-technical stakeholders
 </li>
 <li>
 Cross-functional collaboration and stakeholder management
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Information Systems, or related field
 </li>
 <li>
 Teradata certification (Teradata Certified Professional)
 </li>
 <li>
 Cloud data platforms experience (AWS Redshift, Azure Synapse, Snowflake)
 </li>
 <li>
 Big data technologies (Hadoop, Spark); MDM and data governance knowledge
 
 
 </li>
 </ul>
 
 Key Deliverables
 
 
 
 <ul>
 <li>
 Comprehensive data models with Teradata-optimized physical designs
 </li>
 <li>
 Source-to-target mapping documents, HLD/LLD documents, and technical specifications
 </li>
 <li>
 Data profiling reports, quality assessments, and performance tuning recommendations
 </li>
 </ul>
</div>

EDW Designer

MASTER-WORKS

<div>We are seeking an experienced Enterprise Data Warehouse Designer/Modeler with specialized expertise in Teradata environments. The ideal candidate will design robust data warehouse solutions, possess strong telecommunications domain knowledge, and translate complex business requirements into optimized data models.
Experience Required: Minimum 5+ years in enterprise data warehousing and data modeling
Core Responsibilities
Data Modeling &amp; Architecture<ul>
<li>
Design conceptual, logical, and physical data models for enterprise data warehouses</li>
<li>Specialize in Teradata modeling including partitioning, indexing (PI, SI, NUSI), join indexes, and statistics optimization</li>
<li>Transform source data into target EDW models; design fact/dimension tables and implement SCD Types 1, 2, 3</li>
</ul>
Data Profiling &amp; Analysis<ul>
<li>
Conduct data profiling on source systems to identify quality issues, patterns, and anomalies</li>
<li>Analyze source data structures, relationships, and dependencies; perform data lineage and impact analysis</li>
</ul>
Business Requirements &amp; Collaboration<ul>
<li>
Understand and analyze business requirements from business units, analysts, and tribes</li>
<li>Collaborate with business tribes (product, marketing, finance, operations), development teams, ETL developers, and DBAs</li>
<li>Conduct discussions with source system owners and subject matter experts</li>
</ul>
Data Validation &amp; Documentation<ul>
<li>
Perform source-to-target data validation and reconciliation; execute data quality checks</li>
<li>Create mapping documents, High-Level Design (HLD), Low-Level Design (LLD), and technical specifications</li>
<li>Maintain data dictionary, metadata repository, and operational documentation</li>
</ul>
Development &amp; Implementation<ul>
<li>
Design and optimize database objects; implement Teradata-specific optimizations (PI/SI selection, join indexes, statistics, workload management)</li>
<li>Write complex SQL for data analysis and validation; support ETL teams with technical guidance</li>
</ul>
Required Skills
Technical Expertise<ul>
<li>
Teradata (Required): Advanced knowledge of architecture, SQL, utilities (BTEQ, FastLoad, MultiLoad, TPT), optimization, partitioning, and indexing</li>
<li>Oracle: Strong experience with PL/SQL and performance tuning</li>
<li>SQL: Expert-level programming across multiple platforms (Teradata, Oracle, SQL Server)</li>
<li>Data modeling tools (Erwin, PowerDesigner); ETL tools exposure (Ab Initio, Informatica)</li>
<li>Data warehouse concepts: Star/snowflake schema, dimensional modeling (Kimball), normalized modeling (Inmon)</li>
</ul>
Domain Knowledge - Telecommunications<ul>
<li>
Strong understanding of telecom business processes and data domains</li>
<li>OSS: Network inventory, provisioning, fault/performance management</li>
<li>BSS: Billing, customer/order management, revenue assurance, product catalog</li>
<li>Telecom KPIs: ARPU, churn rate, network utilization, service quality</li>
</ul>
Professional Skills<ul>
<li>
Full SDLC experience (Agile/Scrum, Waterfall methodologies)</li>
<li>Product-oriented mindset with strategic thinking and business value focus</li>
<li>Strong analytical, problem-solving skills with attention to detail</li>
<li>Excellent communication skills; ability to explain technical concepts to non-technical stakeholders</li>
<li>Cross-functional collaboration and stakeholder management</li>
</ul>
Preferred Qualifications<ul>
<li>
Bachelor's degree in Computer Science, Information Systems, or related field</li>
<li>Teradata certification (Teradata Certified Professional)</li>
<li>Cloud data platforms experience (AWS Redshift, Azure Synapse, Snowflake)</li>
<li>Big data technologies (Hadoop, Spark); MDM and data governance knowledge</li>
</ul>
Key Deliverables<ul>
<li>
Comprehensive data models with Teradata-optimized physical designs</li>
<li>Source-to-target mapping documents, HLD/LLD documents, and technical specifications</li>
<li>Data profiling reports, quality assessments, and performance tuning recommendations</li></ul></div>

Explore 1619+ Data professional in Riyadh Saudi Arabia this November. Find roles across top companies and apply now to boost your career.

1619 data professional jobs IN Riyadh Saudi Arabia

Data Professional

Lead Data Governance Consultant (Managed Service Resource)

Postdoctoral Research Fellow #061125

Manager | AI & Data | Data Management

Data Scientist

EDW Designer

EDW Designer