business analyst

data analyst

data engineer

senior data engineer Jobs in Saudi Arabia

senior data engineer

senior data scientist Jobs in Saudi Arabia

senior data scientist

data scientist

Wisayah Investment Company

<div>
 
 
 Role Description
 
 
 
 
 
 
 
 
 
 The Data Scientist Senior Analyst plays a key role in embedding advanced analytics and AI-enabled capabilities into day-to-day investment and operational workflows. The role combines business-facing enablement with hands-on solution development&mdash;working across teams to improve how data is used, decisions are made, and processes are executed.
 
 
 
 
 
 The position begins with a strong focus on understanding the firm&rsquo;s data ecosystem and internal workflows and evolves into designing and building scalable solutions&mdash;from workflow automation to more advanced, model-driven applications that support the firm&rsquo;s broader digital transformation.
 
 
 
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 
 
 1. Enablement &amp; Use-Case Development
 
 
 <ul>
 <li>
 Partner with teams across front, middle, and back office to identify where automation and AI can improve real workflows.
 </li>
 <li>
 Guide business teams in designing and adopting their own enhanced workflows, providing hands-on support, frameworks, and review.
 </li>
 <li>
 Structure business problems into clearly defined use cases, including requirements, prioritization, and expected impact.
 </li>
 <li>
 Maintain and track a centralized pipeline of initiatives, including progress, adoption, and outcomes (e.g., efficiency gains, quality improvements).
 </li>
 </ul>
 
 
 
 
 
 2. Solution Development &amp; Automation
 
 
 <ul>
 <li>
 Design and build practical solutions that enhance workflows, including automation, data-driven tools, and intelligent assistants.
 </li>
 <li>
 Develop and deploy AI-supported applications (e.g., agents, document/query solutions) with appropriate controls and reliability considerations.
 </li>
 <li>
 Support implementation of retrieval and knowledge-access solutions that make internal data and content more usable.
 </li>
 <li>
 Integrate solutions with internal systems and support end-to-end automation of recurring processes.
 </li>
 </ul>
 
 
 
 
 
 3. Data Landscape &amp; Foundations
 
 
 <ul>
 <li>
 Build a deep understanding of the firm&rsquo;s data architecture, including internal systems, vendor platforms, and document repositories.
 </li>
 <li>
 Map key data sources and flows to ensure solutions are grounded in what the data can support.
 </li>
 <li>
 Identify and help address gaps in data accessibility, quality, and structure that impact analytics and automation use cases.
 </li>
 </ul>
 
 
 
 
 
 4. Stakeholder &amp; Delivery Management
 
 
 <ul>
 <li>
 Act as a bridge between business stakeholders and technical or external partners.
 </li>
 <li>
 Support delivery and implementation efforts through hands-on involvement, review, and coordination.
 </li>
 <li>
 Contribute to evaluation and onboarding of new tools and platforms, including initial assessment of data handling considerations.
 </li>
 </ul>
 
 
 
 
 
 5. Continuous Development &amp; Innovation
 
 
 <ul>
 <li>
 Stay up to date with developments in investment management, data, and applied AI.
 </li>
 <li>
 Contribute to evolving the firm&rsquo;s capabilities by progressively taking on more advanced technical and solution-building responsibilities.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Skills
 
 
 
 
 
 <ul>
 <li>
 Investment Management
 </li>
 <li>
 Business &amp; Use-Case Structuring
 </li>
 <li>
 Data Analysis &amp; Automation
 </li>
 <li>
 Workflow Optimization
 </li>
 <li>
 Stakeholder Management
 </li>
 <li>
 Communication
 </li>
 <li>
 Applied AI / Emerging Technologies
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Requirements
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in finance, Economics, Business, Computer Science, Management Information System or a related field.
 </li>
 <li>
 4&ndash;7 years of experience combining investment domain knowledge with hands-on analytics, automation, or AI-related work.
 </li>
 <li>
 Proven ability to deliver practical solutions (e.g., automation, reporting tools, intelligent workflows) that are adopted by end users.
 </li>
 <li>
 Strong ability to translate between business needs and technical requirements.
 </li>
 <li>
 Familiarity with tools such as SQL, Python, or similar; experience working with data-driven workflows is preferred.
 </li>
 <li>
 Strong communication skills and experience working across cross-functional teams.
 </li>
 <li>
 High ownership mindset, with comfort operating in evolving and ambiguous environments.
 </li>
 </ul>
</div>

Data Scientist

MOZN

<div>
 
 
 About Mozn
 
 
 
 
 
 MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.
 
 
 We're a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact.
 
 
 If you're passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.
 
 
 
 About the role
 
 
 
 
 
 We are searching for a strategic and inquisitive Data Scientist. As a member of Mozn's Data Science team, you will work with cross-disciplinary teams to identify the problems to be solved, specify the problems in mathematical and statistical terms, scope out the project in collaboration with your team and external stakeholders, and then go about answering the identified questions. You find insights that spur teams and stakeholders to improve their business/product and drive value for internal and external stakeholders.
 
 
 
 
 What you'll do
 
 
 
 
 
 <ul>
 <li>
 Communicate highly technical results and methods clearly to a wide variety of external clients
 </li>
 <li>
 Analyze and extract insights from multiple and complex datasets through regression analysis, hypothesis testing, and other machine learning techniques
 </li>
 <li>
 Develop and apply new machine learning techniques to ensure modern yet optimal approaches are applied to Mozn's solutions
 </li>
 <li>
 Plan and execute end-to-end data science projects, from data collection and exploration through model development, deployment, and intelligent decision-making
 </li>
 <li>
 Engage with stakeholders to identify and define the scope of challenges and propose data-powered solutions
 </li>
 <li>
 Staying informed with new frameworks and technological advances to increase Mozn's efficiency and productivity
 </li>
 <li>
 Deploy and maintain AI and machine learning models across on-prem, cloud, and hybrid environments
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 <ul>
 <li>
 B.S. or M.S. in Computer Science, Statistics, Mathematics or similar quantitative fields
 </li>
 <li>
 3-5 years of relevant experience as a data scientist, or similar fields that require developing ML/AI models
 </li>
 <li>
 Programming experience over three years, including data manipulation using Python or other languages
 </li>
 <li>
 Good understanding of statistics and probability, such as Bayesian methods and conditional probability
 </li>
 <li>
 Applied experience in machine learning, such as conducting model experiments
 </li>
 <li>
 Experience in version control systems, such as Git, GitHub
 </li>
 <li>
 Experience in SQL or NoSQL is preferred
 </li>
 <li>
 Familiarity with big data technologies, such as Spark
 </li>
 <li>
 Experience in deep learning frameworks, such as PyTorch
 </li>
 <li>
 Familiarity with containerization frameworks, such as Docker
 </li>
 <li>
 Experience deploying, operating, and managing applications or services in cloud environments, whether related to AI/ML or broader software workloads
 
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 <ul>
 <li>
 You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space
 </li>
 </ul>
 <ul>
 <li>
 You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best
 </li>
 </ul>
 <ul>
 <li>
 The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best
 </li>
 </ul>
 <ul>
 <li>
 You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI
 </li>
 </ul>
 <ul>
 <li>
 We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves
 </li>
 </ul>
 
 &nbsp;
 
</div>

Data Scientist III

Data Engineer

Devoteam

<div>
 
 Tech for People Unlocks the Future
 
 
 
 At Devoteam, we believe that technology, combined with strong human values, can actively drive change for the better. Discover how Tech for People is shaping the future, creating a positive impact on individuals and the world around us.
 
 
 With over 25 years of passion for technology and a presence in 18+ countries across EMEA and beyond, we are committed to leveraging innovation, expertise, and human-centric values to make a difference.
 
 
 
 Devoteam Culture &amp; Values:
 
 
 
 True innovation is born from a powerful culture, fused with meaningful values.
 
 
 
 Culture:
 
 
 
 
 Fair and courageous
 
 
 
 Everyone is treated fairly &ndash; this fuels bravery. At Devoteam, we always make fair decisions. We listen and are willing to be challenged, taking courageous decisions as a result. We help our employees to progress at every step and congratulate those who deserve it.
 
 
 
 Ambition and results
 
 
 
 Ambition is nurtured at every step &ndash; this drives results. We are ambitious entrepreneurs with a taste for performance, growth and celebrating success. Commitments are always kept as we seek to achieve profitable growth to create value and employment. We aim to bring as much value as possible to our clients, at every touchpoint.
 
 
 
 Learning and innovating
 
 
 
 Curiosity and learning are at our core &ndash; this stimulates innovation. At Devoteam, we are curious. We learn and embrace innovation constantly to meet challenges and build partnerships of excellence.
 
 
 
 Caring and sharing
 
 
 
 A caring attitude is infused into our culture &ndash; this encourages sharing. We believe in the power of teams, we promote support and collaboration.
 
 
 At Devoteam, we care about our teams and want to work in a positive, productive environment. We support the development of talent and careers,
 
 
 
 Values:
 
 
 
 <ul>
 <li>
 Respect
 </li>
 <li>
 Frankness
 </li>
 <li>
 Passion
 
 
 
 </li>
 </ul>
 
 Job Description
 
 
 
 A Data Engineer is expected to develop, monitor, and optimize data quality rules and processes to ensure reliable and accurate enterprise data.
 
 
 They identify and resolve data anomalies through profiling, cleansing, and validation workflows.
 
 
 The role ensures that business decisions are driven by complete, consistent, and high-integrity data across systems.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Design, implement, and maintain data quality frameworks, rules, and processes to ensure the accuracy, completeness, and reliability of enterprise data.
 </li>
 <li>
 Collaborate with data governance, MDM, and data integration teams to enforce consistent data quality standards across systems.
 </li>
 <li>
 Conduct data profiling, anomaly detection, and validation to identify quality gaps and root causes.
 </li>
 <li>
 Develop automated data quality checks and workflows for continuous monitoring and remediation.
 </li>
 <li>
 Define and manage key data quality metrics (DQ KPIs) and build dashboards to visualize performance trends.
 </li>
 <li>
 Document data quality rules, issue logs, and remediation actions as part of the data governance framework.
 </li>
 <li>
 Work closely with business data stewards and domain owners to define data quality expectations and acceptance thresholds.
 </li>
 <li>
 Support audits, compliance reviews, and data management maturity assessments by providing DQ evidence and reports.
 </li>
 <li>
 Lead the design and deployment of scalable data quality solutions across multiple data domains and systems.
 </li>
 <li>
 Define enterprise data quality standards, policies, and rule frameworks aligned with governance strategy.
 </li>
 <li>
 Establish data quality scorecards, thresholds, and escalation workflows for high-impact issues.
 </li>
 <li>
 Conduct root cause analysis and lead remediation programs for chronic data issues.
 </li>
 <li>
 Mentor junior engineers and promote data quality best practices across teams.
 </li>
 <li>
 Participate in compliance with the local data management regulations (e.g. NDMO, NDI).
 </li>
 <li>
 Design, build, and maintain scalable, secure, and robust data pipelines for efficient data ingestion and transformation, with a strong focus on building quality checks into the infrastructure itself.
 </li>
 <li>
 Collaborate with cross-functional and leadership teams (Data Scientists, Analysts, and Business Leaders) to translate complex business requirements into technical data quality solutions.
 </li>
 <li>
 Research, evaluate, and recommend new data quality tools, technologies, and practices to enhance the reliability, security, and scalability of the data infrastructure.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Management, or related discipline.
 </li>
 <li>
 5+ years of experience in Data Quality, Data Governance, or Data Engineering roles.
 </li>
 <li>
 Proven hands-on experience with enterprise DQ tools (e.g., Informatica DQ/IDMC, Ataccama, Talend DQ, SAS DQ).
 </li>
 <li>
 Strong expertise in data profiling, rule design, standardization, and exception management.
 </li>
 <li>
 Proficiency in SQL and scripting (Python, Shell, or Scala) for advanced data validation.
 </li>
 <li>
 Deep understanding of data governance frameworks and collaboration with data stewards.
 </li>
 <li>
 Ability to design DQ dashboards, scorecards, and KPIs to monitor performance.
 </li>
 <li>
 Strong communication skills for presenting findings and recommendations to business stakeholders.
 </li>
 <li>
 Experience mentoring junior engineers or managing small DQ workstreams.
 </li>
 <li>
 CDMP Associate Certificate and/or Informatica IDQ Certificate and/or IDMC DQ Certificate
 </li>
 <li>
 Experience defining data quality strategy and embedding DQ into enterprise data platforms (MDM, DWH, Data Lake).
 </li>
 <li>
 Understanding of data lineage, root cause analysis, and impact assessment.
 </li>
 <li>
 Knowledge of metadata management and integration with data catalogs.
 </li>
 <li>
 Familiarity with regulatory and compliance requirements (e.g., NDMO, NDI).
 </li>
 <li>
 Ability to automate DQ workflows through orchestration or CI/CD pipelines.
 
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 Business Unit: Data &amp; Intelligence
 
 
 
 
 Level: Mid - Senior Level
 
</div>

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">Job Description: AI / ML Engineer</h1>
Job Title: AI / ML Engineer 
Experience: 3&ndash;11 Years 
Location: Riyadh (Onsite) 
Employment Type: Full-Time<h2 class="jobSectionHeader">
Job Overview</h2>
We are seeking a skilled AI / ML Engineer with 3&ndash;11 years of experience to design, develop, deploy, and optimize machine learning and generative AI solutions. The ideal candidate will have hands-on expertise in building scalable AI/ML models, working with cloud-native AI platforms, and implementing production-ready machine learning pipelines. Experience with modern AI frameworks, large language models (LLMs), and MLOps practices is highly desirable.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Design, develop, train, and deploy machine learning and deep learning models for enterprise applications.</li><li>
Build and optimize end-to-end ML pipelines for data ingestion, model training, evaluation, and deployment.</li><li>
Develop Generative AI and LLM-powered applications using modern AI frameworks.</li><li>
Collaborate with data engineers, software developers, and business stakeholders to deliver AI-driven solutions.</li><li>
Deploy and monitor ML models on cloud platforms while ensuring scalability, reliability, and security.</li><li>
Optimize model performance through feature engineering, hyperparameter tuning, and continuous evaluation.</li><li>
Implement MLOps best practices including model versioning, monitoring, and CI/CD automation.</li><li>
Stay current with advancements in AI, machine learning, and cloud AI services.</li></ul><h2 class="jobSectionHeader">
Required Technical Skills</h2><h3 class="jobSectionHeader">
Cloud AI Platforms</h3><ul><li>
Hands-on experience with GCP Vertex AI or Azure Machine Learning or AWS SageMaker.</li><li>
Experience with Azure OpenAI or AWS Bedrock for Generative AI solutions.</li><li>
Experience with BigQuery ML and Dataflow for data processing and machine learning workflows.</li></ul><h3 class="jobSectionHeader">
Programming &amp; Machine Learning</h3><ul><li>
Strong proficiency in Python.</li><li>
Experience developing machine learning solutions using TensorFlow or PyTorch.</li><li>
Strong understanding of supervised, unsupervised, reinforcement learning, and deep learning concepts.</li></ul><h3 class="jobSectionHeader">
Generative AI &amp; LLM Frameworks</h3><ul><li>
Experience with Hugging Face and LangChain for building LLM-powered applications.</li><li>
Knowledge of prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases is preferred.</li></ul><h3 class="jobSectionHeader">
Data Engineering &amp; Analytics</h3><ul><li>
Experience with Databricks for data engineering, model development, and analytics workflows.</li><li>
Strong understanding of data preprocessing, feature engineering, and large-scale data processing.</li></ul><h3 class="jobSectionHeader">
MLOps &amp; Deployment</h3><ul><li>
Experience deploying machine learning models into production.</li><li>
Knowledge of Docker, Kubernetes, CI/CD pipelines, and model monitoring is an advantage.</li></ul><h2 class="jobSectionHeader">
Qualifications</h2><ul><li>
Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.</li><li>
3&ndash;11 years of professional experience in AI, Machine Learning, or Data Science.</li><li>
Strong analytical, mathematical, and problem-solving skills.</li><li>
Experience working in Agile development environments.</li><li>
Excellent communication and collaboration skills.</li></ul><h2 class="jobSectionHeader">
Preferred Skills</h2><ul><li>
Experience with Large Language Models (LLMs) and Generative AI applications.</li><li>
Knowledge of Retrieval-Augmented Generation (RAG), vector databases, and AI agents.</li><li>
Experience with distributed model training and cloud-native AI architectures.</li><li>
Cloud certifications in AWS, Azure, or Google Cloud are a plus.</li></ul><h2 class="jobSectionHeader">
Key Technology Stack</h2><ul><li>
Cloud AI: GCP Vertex AI or Azure Machine Learning or AWS SageMaker</li><li>
Generative AI: Azure OpenAI or AWS Bedrock and Large Language Models (LLMs)</li><li>
Data Processing: BigQuery ML and Dataflow and Databricks</li><li>
Programming: Python</li><li>
Machine Learning Frameworks: TensorFlow or PyTorch</li><li>
LLM Frameworks: Hugging Face or LangChain</li><li>
MLOps: Docker and Kubernetes and CI/CD (Preferred)</li></ul>
kmeseaCmpf</div>

AI / ML Engineer

Jaarvis Technologies

Key Responsibilities<ul><li>Design, develop, train, and deploy AI and Machine Learning models for business applications.</li><li>Build and optimize data pipelines for data collection, preprocessing, and feature engineering.</li><li>Develop AI-powered applications using NLP, Computer Vision, Predictive Analytics, and Generative AI technologies.</li><li>Integrate AI solutions with enterprise applications, APIs, and cloud platforms.</li><li>Evaluate, monitor, and improve the performance and accuracy of AI models.</li><li>Collaborate with data scientists, software developers, and business stakeholders to translate business requirements into AI solutions.</li><li>Perform model testing, validation, deployment, and ongoing maintenance.</li><li>Work with structured and unstructured datasets to derive actionable insights.</li><li>Prepare technical documentation, model reports, and deployment guidelines.</li><li>Stay updated with the latest advancements in Artificial Intelligence, Machine Learning, and Generative AI technologies.</li></ul>Required Qualifications<ul><li>Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.</li><li>3&ndash;4 years of hands-on experience in AI/ML solution development and deployment.</li><li>Strong proficiency in Python and AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras, or similar.</li><li>Experience with Large Language Models (LLMs), Generative AI, Natural Language Processing (NLP), or Computer Vision.</li><li>Strong knowledge of SQL and NoSQL databases.</li><li>Experience with REST APIs, microservices, and cloud platforms (Azure, AWS, or Google Cloud).</li><li>Familiarity with MLOps, model deployment, Docker, and Git version control.</li><li>Strong analytical, problem-solving, and debugging skills.</li><li>Excellent communication and teamwork abilities.</li><li>Arabic speaking is mandatory. English communication skills are also required.</li></ul>Preferred Skills<ul><li>Experience with Azure AI Services, Azure OpenAI, AWS SageMaker, or Google Vertex AI.</li><li>Knowledge of RAG (Retrieval-Augmented Generation), vector databases, and prompt engineering.</li><li>Experience with Power BI or Tableau for AI-driven analytics.</li><li>Familiarity with DevOps and CI/CD pipelines.</li><li>AI-related certifications are an added advantage.</li></ul>Pay: ﷼7,530.39 - ﷼19,466.35 per monthWork Location: In person

AI Engineer

<div><h1 class="jobSectionHeader">Job Description: Data Governance &amp; Management Specialist</h1>
Job Title: Data Governance &amp; Management Specialist 
Experience: 6&ndash;12+ Years 
Location: Riyadh - Onsite 
Employment Type: Full-Time<h2 class="jobSectionHeader">
Job Overview</h2>
We are seeking an experienced Data Governance &amp; Management Specialist with 6&ndash;12+ years of experience to establish, implement, and manage enterprise data governance frameworks. The ideal candidate will have strong expertise in data governance standards, data quality management, metadata management, master data management, data classification, and privacy practices. This role will support organizations in improving data trust, compliance, accessibility, and business value through effective governance strategies.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Develop and implement enterprise data governance frameworks aligned with industry standards and business objectives.</li><li>
Establish data governance policies, standards, processes, and operating models.</li><li>
Define data ownership, stewardship models, and governance responsibilities across business and technology teams.</li><li>
Implement data quality management frameworks to improve accuracy, completeness, and reliability of enterprise data.</li><li>
Manage metadata, data cataloging, lineage, and business glossary initiatives.</li><li>
Support Master Data Management (MDM) strategies and implementation.</li><li>
Define and implement data classification and data privacy frameworks.</li><li>
Collaborate with business stakeholders, data owners, security teams, and technology teams to ensure effective data governance.</li><li>
Monitor governance KPIs, data quality metrics, and compliance requirements.</li><li>
Drive adoption of governance practices across enterprise data initiatives.</li><li>
Support regulatory compliance and data protection requirements.</li></ul><h2 class="jobSectionHeader">
Required Technical &amp; Functional Skills</h2><h3 class="jobSectionHeader">
Data Governance Frameworks</h3><ul><li>
Strong understanding of DAMA-DMBOK or NDMO frameworks and data governance principles.</li><li>
Experience designing and implementing enterprise data governance operating models.</li><li>
Knowledge of data stewardship, ownership, policies, standards, and governance processes.</li></ul><h3 class="jobSectionHeader">
Data Governance Platforms</h3><ul><li>
Hands-on experience with Collibra or Alation for:<ul><li>
Data catalog management</li><li>
Metadata management</li><li>
Business glossary creation</li><li>
Data lineage tracking</li><li>
Governance workflow management</li></ul></li></ul><h3 class="jobSectionHeader">
Data Quality Management</h3><ul><li>
Experience with Informatica Data Quality (DQ) or comparable data quality tools.</li><li>
Strong understanding of data profiling, validation rules, quality monitoring, and remediation processes.</li></ul><h3 class="jobSectionHeader">
Master Data Management</h3><ul><li>
Experience implementing Master Data Management (MDM) frameworks and processes.</li><li>
Understanding of master data domains, golden records, and data synchronization approaches.</li></ul><h3 class="jobSectionHeader">
Data Classification &amp; Privacy</h3><ul><li>
Experience with Data Classification and Data Privacy frameworks.</li><li>
Knowledge of sensitive data identification, protection controls, and compliance requirements.</li><li>
Understanding of privacy regulations and enterprise data protection practices.</li></ul><h2 class="jobSectionHeader">
Qualifications</h2><ul><li>
Bachelor's degree in Computer Science, Information Technology, Data Management, Business Analytics, or a related field.</li><li>
6&ndash;12+ years of experience in Data Governance, Data Management, Data Quality, or Enterprise Data Management.</li><li>
Strong understanding of enterprise data architecture and governance practices.</li><li>
Excellent communication, stakeholder management, and collaboration skills.</li><li>
Experience working with cross-functional teams in enterprise environments.</li></ul><h2 class="jobSectionHeader">
Preferred Skills</h2><ul><li>
Experience supporting large-scale data transformation initiatives.</li><li>
Knowledge of cloud data platforms and modern data ecosystems.</li><li>
Familiarity with data security, risk management, and compliance frameworks.</li><li>
Experience establishing Data Governance Centers of Excellence (CoE).</li><li>
Certifications such as CDMP, DAMA, Data Governance, or Privacy certifications are a plus.</li></ul><h2 class="jobSectionHeader">
Key Technology &amp; Capability Stack</h2><ul><li>
Data Governance Frameworks: DAMA-DMBOK or NDMO</li><li>
Data Governance Platforms: Collibra or Alation</li><li>
Data Quality: Informatica Data Quality (DQ) and Data Profiling and Quality Monitoring</li><li>
Data Management: Master Data Management (MDM) and Metadata Management and Data Lineage</li><li>
Data Protection: Data Classification and Data Privacy and Compliance Management</li><li>
Governance Practices: Data Ownership and Data Stewardship and Governance Operating Models</li></ul>
ziP0x5f22h</div>

Data Governance & Management Specialist

Explore 206+ Data scientist in Saudi Arabia this August. Find roles across top companies and apply now to boost your career.

206 data scientist jobs In Saudi Arabia

Data Scientist

Data Scientist III

Data Engineer

Data Engineer

AI / ML Engineer

AI Engineer

Data Governance & Management Specialist