AI and Data Analytics Section Head

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.