241 Chief Data Officer jobs in the United Arab Emirates

**Data Protection Specialist**

Our organization seeks an experienced Data Protection Specialist to ensure the highest standards of data protection and compliance. As a key member of our team, you will provide expert guidance on data protection regulations and advise senior management on all matters related to data security.

The successful candidate will be responsible for monitoring our adherence to GDPR standards, acting as a point of contact with supervisory authorities, and maintaining records of data processing operations. They will also participate in meetings to ensure privacy by design at all levels and liaise with other organizations/vendors who process data on behalf of our organization.

1. Acts as point of contact with relevant staff and internal teams, as well as supervisory authorities in all relevant jurisdictions.
2. Identifies, evaluates, and enables the ongoing effectiveness of the organization's data processing activities.
3. Provides advice and instructions on how to conduct Data Protection Impact Assessments (DPIAs).
4. Monitors data management procedures and compliance within the organization.
5. Participates in meetings with managers to ensure privacy by design at all levels.
6. Maintains records of data processing operations.
7. Ensures the organization addresses all queries from data subjects within legal timeframes.
8. Liaises with other organizations/vendors who process data on behalf of the organization.
9. Writes and updates detailed guides on data protection policies.
10. Performs audits and determines whether the organization needs to alter its policies and procedures.
11. Offers consultation and advice on how to deal with privacy breaches.
12. Delivers training on data protection compliance to all employees.

We are seeking a highly skilled and experienced Data Protection Specialist to join our team.

As a Data Protection Specialist, you will be responsible for leading the development and implementation of our organization's data protection framework.

• Lead data protection risk assessments and implement mitigation measures.
• Develop and maintain internal data protection policies, standards, and regulations.
• Ensure compliance with regional and international data protection laws, such as GDPR, CCPA, and local banking regulations.
• Design and maintain dashboards to monitor privacy performance and incidents.
• Prepare reports and present insights to senior management and regulators.
• Collaborate with IT, legal, and compliance teams to embed data protection best practices across the business.
• Provide training and awareness sessions to staff on their data protection obligations.

• Bachelor's or Master's degree in Law, Information Security, or a related field.
• 7-10 years of experience in data protection compliance and risk management, preferably in the banking and financial services sector.
• Strong knowledge of data protection regulations, including GDPR, CCPA, and local banking regulations.
• Experience creating data protection dashboards and reporting tools.
• Excellent communication and stakeholder engagement skills.
• Professional certifications, such as CIPP/E, CIPM, and CIPT, are desirable.

The Chief Data Strategy Officer will lead the development and implementation of cutting-edge data management tools and processes to ensure the reliability and accuracy of our databases and solutions. This role involves overseeing the design and delivery of our innovation strategy for advanced data analysis, AI, and machine learning.

• Develop and implement comprehensive strategies for data collection, management, and analysis to support decision-making and reporting.
• Lead projects on the use of advanced analytical methods to interpret complex data sets and translate raw data into actionable insights and recommendations.
• Promote the use of Big Data and emerging technologies (AI, ML, NLP) to improve data availability and provide innovative indicators for real-time analysis.
• Establish clear guidelines on data quality and integrity.
• Ensure the implementation of robustness and quality processes for data outputs to promote high-quality analysis.
• Lead the automation and optimization of data processes to ensure timeliness and reduce inefficiencies.
• Monitor the development and delivery of data solutions and innovation strategy.
• Identify and test the adequacy of emerging technologies and trends.
• Monitor ethical and reputational risks linked to the use of cutting-edge technologies.
• Identify optimization and automation opportunities and supervise data governance.
• Collaborate with internal and external stakeholders to foster knowledge exchange and sharing.
• Design the innovation strategy aligned with our objectives and goals.

• A minimum of 10 years of relevant experience in an innovation role, preferably in an international or regional context.
• Proven experience in developing and managing large-scale data products and innovative initiatives.
• Bachelor's degree in data science, big data, or related fields is required.
• Master's degree or PhD in data science, big data, or related field is preferred.
• Excellent communication and writing skills in Arabic and English. French, as a third language, is a solid advantage.

We offer a competitive package of benefits aligned with our employment policies, including a tax-free salary and supplementary allowances such as housing, furniture, and air ticket, schooling, and comprehensive medical insurance.

Only shortlisted candidates will be contacted.

Lead Data Architect

We are seeking a highly skilled and experienced Lead Data Architect to join our team. The ideal candidate will have a deep understanding of data architecture, healthcare data standards, and experience with AWS-based data lakes and analytics pipelines.

• Develop and implement an enterprise-wide data architecture strategy that supports interoperability, AI/ML readiness, and regulatory compliance.
• Lead the evolution of our AWS-based data lake architecture, supporting structured, semi-structured, and unstructured data types.
• Design and maintain scalable, secure, and cost-effective data lakes using Amazon S3, AWS Glue, Athena, Redshift, and Lake Formation.
• Leverage Mountpoint for S3 to enable high-performance, POSIX-compliant access to S3 objects.
• Optimize data storage and retrieval strategies for performance and cost-efficiency.
• Collaborate with data science teams to implement embedding models, vectorization pipelines, and real-time inference architectures.
• Design and manage vector storage systems to support semantic search, retrieval-augmented generation, and intelligent data access.
• Ensure vectorized data pipelines are aligned with model training, evaluation, and deployment strategies.
• Architect systems to ingest, process, and store FHIR-compliant JSON data from EHRs, APIs, and HL7 sources.
• Ensure conformance with healthcare interoperability standards and optimize for queryability and downstream analytics.

• Bachelor's or Master's in Computer Science, Data Engineering, or related field.
• 8–12+ years of experience in data architecture with 3–5 years in a technical leadership role.
• Proven experience architecting AWS-based data lakes and analytics pipelines.
• Deep understanding of healthcare data standards (FHIR, HL7) and working with FHIR JSON objects in large-scale systems.
• Expertise with embedding and vectorization models, semantic search, and managing vector storage solutions.

• Opportunity to work on cutting-edge projects and technologies.
• Collaborative and dynamic work environment.
• Professional growth and development opportunities.

• This is an independent contractor position.
• Job Type: Full-time.
• Location: Remote.

We are seeking an experienced Cloud Data Architect to design and implement scalable cloud-based data platforms.

This role will lead the design and implementation of Data Lakehouse architectures , including batch and real-time streaming pipelines using Databricks Delta Lake .

• Architect & Design : Lead the design and implementation of Data Lakehouse architectures , including batch and real-time streaming pipelines using Databricks Delta Lake .

• Cloud Data Platforms : Build and optimize scalable data engineering solutions leveraging Azure ADLS PySpark Scala SQL .

• Data Governance Cataloging : Drive the adoption and implementation of Unity Catalog ensuring robust data lineage governance schema and access control mechanisms.

• Performance Cost Optimization : Review solutions and guide teams on performance tuning cloud cost optimization and architectural best practices.

• Technical Leadership : Act as a trusted advisor to engineering teams providing hands-on guidance in data engineering analytics and cloud-native design patterns.

• Innovation Strategy : Evaluate new tools frameworks and approaches to continuously improve the enterprise data ecosystem.

• 12 years of experience in Data Engineering Analytics with strong focus on cloud-based platforms.

• Proven expertise in Azure Cloud Services Databricks Delta Lake Lakehouse architectures .

• Hands-on experience with PySpark Scala SQL for building large-scale data pipelines.

• Strong knowledge of data governance security frameworks data cataloging tools Unity Catalog preferred .

• Experience with streaming technologies Azure Event Hub Kafka or similar .

• Strong understanding of data pipeline frameworks distributed computing performance optimization .

• Excellent communication leadership and stakeholder management skills.

The organization is committed to leveraging data and artificial intelligence to drive transformation across the retail sector.

This role involves leading enterprise-wide initiatives that enhance business performance, elevate customer engagement, and unlock new growth opportunities through data-driven strategies.

The individual will collaborate with cross-functional teams to translate strategic priorities into scalable data and AI initiatives, ensuring that solutions deliver measurable impact.

Key objectives include developing a data and AI strategy that supports business growth, operational efficiency, and customer-centric innovation.

Another critical aspect is championing data-driven transformation initiatives, embedding data and AI capabilities into core business processes, decision-making, and service delivery.

The Chief of Data Strategy & Analytics will also oversee a portfolio of data and AI programs, ensuring alignment with business priorities and managing cross-functional dependencies.

Data governance frameworks will be established and upheld, ensuring compliance with regulatory standards and promoting ethical use of AI.

Staying ahead of industry trends and emerging technologies is essential for providing strategic guidance on how innovations in data and AI can be leveraged to maintain competitive advantage.

• Strategic Leadership: Ability to define and execute a data and AI strategy that aligns with business transformation goals.
• Deep understanding of retail business operations, value drivers, and how data can unlock efficiencies and growth.
• Data Governance & Ethics: Expertise in establishing governance frameworks, ensuring compliance, and promoting ethical AI use.
• Stakeholder Engagement: Skilled in translating business needs into data initiatives and securing cross-functional buy-in.

• A master's degree in business administration, Data Science, Economics, or a related field is required.
• Participation in executive data literacy programs and AI strategy workshops is highly valued.
• 12–15 years of experience in data strategy, analytics, or transformation roles, with at least 5 years in a senior leadership capacity is preferred.

A deep understanding of retail business operations, combined with expertise in data governance and stakeholder engagement, is crucial for success in this role.

A Data Architect is required to lead the design and implementation of enterprise-wide data architectures, driving digital and AI transformation initiatives for clients across industries.

• Lead Data Architecture Strategy
• Engage with Business & Technology Stakeholders
• Architecture Delivery & Oversight
• Team Leadership & Capability Building
• Client Engagement & Business Development

• Bachelors or Master's degree in Computer Science, Information Systems, Engineering, or related field.
• 10+ years of experience in data architecture, data engineering, or information management.
• Proven experience with cloud-native data platforms, ETL/ELT tools, data governance tools, big data and streaming technologies, data modeling, API management, security/privacy frameworks.
• Experience in leading multi-disciplinary teams in complex consulting or enterprise environments.
• Excellent communication and presentation skills with the ability to engage senior stakeholders.

• Competitive tax-free salary and performance bonus.
• Exposure to cutting-edge data transformation projects in the region.
• Fast-paced, collaborative, and diverse working environment.
• Opportunities for leadership growth and continuous learning.

We're seeking experienced professionals to ensure data accuracy and quality across multiple systems through effective data management practices.

• Clean, standardize, and de-duplicate datasets to maintain data integrity.
• Create, update, and validate records in SAP Master Data Management systems.
• Analyze large data sets using advanced Excel functions to identify trends and insights.
• Support data quality audits and web research to enrich and validate records.
• Assist with web application testing to ensure seamless user experience.
• Utilize data cleansing tools to analyze data trends and improve data quality.

• Proven experience in data cleaning and validation is essential for this role.
• A strong knowledge of SAP Master Data Management principles is required.
• Advanced Microsoft Excel skills are necessary for analyzing large data sets.
• Hands-on experience supporting data audits is crucial for ensuring data quality.

Candidates with a strong technical foundation and excellent attention to detail will excel in this position.

We are seeking a seasoned Data Product Strategist to drive the development and delivery of innovative data products that meet business needs. The ideal candidate will have a strong background in product management, with expertise in data strategy, product vision, and stakeholder management.

Core Responsibilities:

• Develop and communicate a clear product vision and strategy for data products aligned with company objectives.
• Collaborate with business stakeholders to understand data needs, challenges, and opportunities.
• Translate business requirements into actionable product roadmaps.
• Oversee the end-to-end lifecycle of data product development, including ideation, requirements gathering, design, execution, testing, and launch.
• Work closely with engineering, data science, and analytics teams to ensure timely delivery of data solutions that meet business needs.
• Ensure technical feasibility and alignment with data infrastructure.
• Monitor product performance and feedback to iterate and enhance data products.

Requirements:

• Strong understanding of data strategy, product vision, and stakeholder management.
• Proven experience in product management, with a focus on data products.
• Excellent communication and interpersonal skills.
• Ability to work collaboratively across functional teams.
• Strong analytical and problem-solving skills.

What We Offer:

• A competitive salary and benefits package.
• Opportunities for professional growth and development.
• A dynamic and supportive work environment.

Why Join Us?

• Contribute to the development of innovative data products that drive business value.
• Collaborate with a talented team of professionals who share your passion for data and innovation.
• Take ownership of your career and make meaningful contributions to our organization.