AI and Data Analytics Section Head

Job Purpose

Data, Statistics, AI, and Analytics

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

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)