AVP, AI Program Manager.Artificial Intelligence.MIT

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 (SteerCo, 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