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AI and Data Analytics Section Head

ConfidentialAbu Dhabi Emirate, UAE2 weeks agoMid-Senior
Mid-Seniorcontract

Skills

AnalyticsDataSection

About This Role

Job Purpose

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
  • Clear improvement in enterprise Data & AI maturity

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.**
  • **Architecture & Platforms.**
  • **GIS;**
  • Spatial data management, GIS integration into analytics platform
  • Project / delivery (PMP, Agile)

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