Senior Manager, AI Strategy & Enablement

Job Purpose

Responsible for defining and driving AmBank's AI strategy and multi-year roadmap for the Group Chief Operating Officer's (COO) division, with a view to progressively extending this to the wider bank.

The role identifies and prioritizes AI use cases, assesses organizational, data and technology readiness to surface gaps that could derail AI initiatives and manages the end-to-end delivery of AI-based projects through vendor partnerships and close coordination with Group IT. The role also builds and leads a team to execute the AI agenda, positioning RACE as a trusted advisor and delivery partner for AI adoption within the bank.

Key Responsibilities

1. Develop and continuously refine a multi-year (e.g. 3-year) AI strategy and roadmap for the COO division, aligned to the bank's Winning Together 2029 (WT29) strategy and broader group priorities.

2. Identify, evaluate, and prioritize AI use cases and opportunities across COO functions based on business value, feasibility and organizational readiness.

3. Assess organizational readiness for AI adoption, including identifying gaps in data quality, data governance, legacy systems, and technology infrastructure that could impede successful AI implementation and escalate/coordinate remediation with the relevant teams.

4. Develop and present business cases, implementation roadmaps and timelines for proposed AI initiatives to senior management and the COO.

5. Manage end-to-end delivery of AI-based projects, including scoping, vendor selection and evaluation, contract/SOW management,and delivery oversight, given AI execution is currently largely vendor-managed.

6. Serve as the primary liaison with Group IT (including the AI Governance CoE) to coordinate on data access, system integration, UAT, penetration testing, storage and governance requirements for AI projects.

7. Establish and maintain a governance framework for AI project intake, prioritization and value/benefits tracking.

8. Lead, mentor, and develop the AI Strategy & Advisory team, building their capability to support project delivery and stakeholder engagement.

9. Monitor emerging AI trends, tools and regulatory developments (e.g. BNM RMiT and other applicable frameworks) and translate implications into the bank's AI strategy.

10. Support change management and adoption efforts to embed AI-driven ways of working across the division.

Key Relationships

1. Bachelor's degree in computer science, Data Science, Information Systems, Business or a related field; relevant certifications in AI/data strategy or project management are an advantage.

2. Minimum 8 years of working experience, including exposure to AI/data strategy, technology consulting or digital transformation, preferably within financial services or another regulated industry.

3. Demonstrated experience assessing data infrastructure, legacy systems and organizational readiness to identify gaps affecting technology/AI initiatives.

4. Strong understanding of AI/GenAI concepts (e.g. LLMs, agentic systems, RPA-AI convergence) sufficient to evaluate vendor proposals and challenge technical assumptions; hands-on engineering/coding skills are not required.

5. Proven track record of developing strategy roadmaps and translating them into actionable, resourced delivery plans.

6. Experience managing vendors and third-party delivery partners, including contract/SOW scoping and outcome accountability.

7. Excellent stakeholder management, communication and presentation skills, with the ability to engage confidently with senior and C-level executives.

8. Working knowledge of relevant regulatory and governance frameworks applicable to AI/technology in financial services (e.g. BNM RMiT).

9. People leadership experience or strong demonstrated potential to lead and develop a team.