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 & Delivery- Establish and manage centralized governance for all AI programs
- Ensure structured lifecycle management from ideation to deployment and scaling

- Portfolio Prioritization & Resource Optimization- Drive prioritization aligned with business value, regulatory requirements, and resource constraints
- Optimize utilization of AI infrastructure (e.g. GPU, platforms) and delivery capacity

- Execution Oversight- Track progress, risks, dependencies, and ensure timely delivery of AI initiatives
- Implement standardized program management frameworks and reporting

- Value Realization- Define and monitor KPIs linked to business outcomes (revenue, cost, risk reduction, efficiency)
- Ensure measurable and auditable value realization

- AI Governance & Compliance- Ensure all programs comply with internal governance, Model Risk, and regulatory (e.g. CBUAE) guidelines
- Embed responsible AI principles (fairness, explainability, security, auditability)

- Stakeholder Management- Engage with senior stakeholders across business, risk, compliance, and technology
- Provide executive-level reporting (Steer Co, GCEO updates)

- Vendor & Partner Management- Oversee 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