The posting
Job Description
Job Purpose
Lead and govern the bank-wide portfolio of Artificial Intelligence programs, ensuring alignment with strategic objectives, regulatory expectations, and enterprise risk frameworks.
The role is accountable for end-to-end program delivery across AI initiatives, including prioritization, execution oversight, value realization, and governance, while ensuring responsible AI adoption at scale.
Key Result Areas
- AI Program Governance & DeliveryEstablish and manage centralized governance for all AI programs Ensure structured lifecycle management from ideation to deployment and scaling
- Portfolio Prioritization & Resource OptimizationDrive prioritization aligned with business value, regulatory requirements, and resource constraints Optimize utilization of AI infrastructure (e.g. GPU, platforms) and delivery capacity
- Execution OversightTrack progress, risks, dependencies, and ensure timely delivery of AI initiatives Implement standardized program management frameworks and reporting
- Value RealizationDefine and monitor KPIs linked to business outcomes (revenue, cost, risk reduction, efficiency) Ensure measurable and auditable value realization
- AI Governance & ComplianceEnsure all programs comply with internal governance, Model Risk, and regulatory (e.g. CBUAE) guidelines Embed responsible AI principles (fairness, explainability, security, auditability)
- Stakeholder ManagementEngage with senior stakeholders across business, risk, compliance, and technology Provide executive-level reporting (SteerCo, GCEO updates)
- Vendor & Partner ManagementOversee delivery partners, vendors, and strategic collaborations Ensure alignment with contractual, delivery, and quality expectations
Decision Making Authority & Responsibility
- Accountable for AI program portfolio governance and delivery outcomes
- Recommends prioritization, funding allocation, and execution strategies
- Escalates critical risks and trade-offs to senior leadership as required
- Approves program-level frameworks, reporting standards, and governance controls
Knowledge, Skills and Experience
- Education: Bachelor’s degree in Computer Science, Engineering, or related field; Master’s preferred
- Experience:12–15+ years of experience in technology program management, with strong exposure to AI/ML initiatives Proven track record managing large-scale, cross-functional transformation programs Experience in banking or financial services preferred
- Skills:Strong program management and portfolio governance expertise Understanding of AI/ML lifecycle, data platforms, and enterprise architecture Knowledge of regulatory and risk frameworks applicable to AI Stakeholder management at executive level Strong analytical, communication, and decision-making skills



