AVP, AI Program Manager.Artificial Intelligence.MIT

Job PurposeLead 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 (SteerCo, GCEO updates)- Vendor & Partner Management- Oversee delivery partners, vendors, and strategic collaborations- Ensure alignment with contractual, delivery, and quality expectationsDecision 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 controlsKnowledge, 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