AI and Data Analytics Section Head
Confidential · Abu Dhabi Emirate, United Arab Emirates
قدّم وتابع مع أبلاي إيدجJob 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 LikeStrong, trusted data governance and qualityReliable statistical outputsScalable, ethical, and value-driven AI solutionsClear improvement in enterprise Data & AI maturityKey ResponsibilitiesOwn end-to-end leadership of Data Management (primary), Statistics & Reporting, AI & Advanced Analytics, and GISDesign and enforce enterprise data governance, quality, MDM, metadata, and architecture frameworksLead authoritative statistical and regulatory reporting with strong auditability and traceabilityDefine and deliver the AI & analytics roadmap, ensuring production-grade, value-driven AI adoptionEstablish 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 fragmentationEnsure compliance with data, AI, cybersecurity, and regulatory standardsBuild and lead a high-performing, multi-disciplinary data and AI teamDeliver measurable business value through data and AI initiativesQualifications & ExperienceBachelor’s degree in Computer Science, Data Science, Engineering, or related field (Master’s preferred)15+ years of progressive experience across data, analytics, and AIProven leadership of enterprise data functions and large-scale transformation programsDeep expertise in DAMA-DMBOK, data governance, AI lifecycle management, and enterprise data platformsExperience in government or regulated environments is highly preferredData 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 platformProject / delivery (PMP, Agile)Cloud Architect (Azure/AWS/GCP)