AI and Data Analytics Section Head
Skills
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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