AI and Data Analytics Section Head

Confidential; Abu Dhabi; On-site; AED 350,000 - 800,000; Full time

Job summary

Confidential is seeking a senior, hands‑on leader to own and advance enterprise data, statistics, AI, and analytics capabilities. This delivery-focused role requires architecture, governance, and operationalization of data and AI at scale.

You will oversee data management, statistics and reporting, AI & analytics, and GIS, and drive maturity across data governance, quality, MDM, metadata, and architecture. Ideal candidate brings 15+ years of experience and a track record in government/regulatory

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Engineering, or related field; Master’s preferred.
• 15+ years of progressive experience across data, analytics, and AI.
• Leadership of enterprise data functions and large-scale transformation programs.
• Deep expertise in DAMA-DMBOK, data governance, AI lifecycle management, and enterprise data platforms.
• Experience in government or regulated environments is highly preferred.

Responsibilities

• Own end-to-end leadership of Data Management (primary), Statistics & Reporting, AI & Advanced Analytics, and GIS.
• Design and enforce enterprise data governance, quality, MDM, metadata, and architecture frameworks.
• Lead authoritative statistical and regulatory reporting with strong auditability and traceability.
• Define and deliver the AI & analytics roadmap, ensuring production-grade, value-driven AI adoption.
• Establish and execute a Data & AI maturity roadmap using recognized models.
• Own selection and optimization of data, analytics, and AI platforms; eliminate fragmentation.
• Ensure compliance with data, AI, cybersecurity, and regulatory standards.
• Build and lead a high-performing, multi-disciplinary data and AI team.
• Deliver measurable business value through data and AI initiatives.

Skills

Data governance

Statistical reporting

AI & analytics leadership

Enterprise data leadership

Education

Bachelor's degree in CS/DS/Engineering

Master’s degree preferred

Tools

DAMA-DMBOK

MDM

Data governance tools

Metadata management

Job description

We are seeking a senior, hands‑on leader to own and advance our enterprise Data, Statistics, AI, and Analytics capabilities. This is a delivery-focused role for a recognized expert who can architect, govern, and operationalize data and AI at scale.

What Success Looks Like

• Strong, trusted data governance and quality
• Reliable statistical outputs
• Scalable, ethical, and value-driven AI solutions

Key Responsibilities

• Own end‑to‑end leadership of Data Management (primary), Statistics & Reporting, AI & Advanced Analytics, and GIS
• Design and enforce enterprise data governance, quality, MDM, metadata, and architecture frameworks
• Lead authoritative statistical and regulatory reporting with strong auditability and traceability
• Define and deliver the AI & analytics roadmap, ensuring production‑grade, value‑driven AI adoption
• Establish and execute a Data & AI maturity roadmap using recognized models (e.g., DAMA, DMM, AI maturity frameworks)
• Own selection and optimization of data, analytics, and AI platforms; eliminate fragmentation
• Ensure compliance with data, AI, cybersecurity, and regulatory standards
• Build and lead a high‑performing, multi‑disciplinary data and AI team
• Deliver measurable business value through data and AI initiatives

Qualifications & Experience

• Bachelor’s degree in Computer Science, Data Science, Engineering, or related field (Master’s preferred)
• 15+ years of progressive experience across data, analytics, and AI
• Proven leadership of enterprise data functions and large‑scale transformation programs
• Deep expertise in DAMA-DMBOK, data governance, AI lifecycle management, and enterprise data platforms
• Experience in government or regulated environments is highly preferred
• Data Management; DAMA-DMBOK framework, Data Governance operating models, Data Quality frameworks and tools, MDM, metadata, lineage.
• Statistics.
• AI & Analytics.