AVP, AI Program Manager.Artificial Intelligence.MIT

Job Purpose

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