AI Enablement Product Owner

About the role

ABA Bank is creating an AI Enablement Product Owner role embedded in each product team. The AI PO ensures that new and existing initiatives are systematically assessed for AI opportunities and, where valuable, delivered with AI-enabled capabilities. The role works alongside the traditional PO(s) and coordinates closely with the PO Lead to define AI requirements, prioritize AI enhancements and support delivery across the product team's streams, while ensuring secure, compliant and measurable outcomes. There are 03 positions based at Head Office, Phnom Penh.

Key responsibilities

• Assess new initiatives and major enhancements for AI applicability using defined templates, SLAs and risk tiering, and maintain an "AI enhancements" backlog.
• Own the AI feature/service portfolio for the assigned product team, defining value cases, KPIs and phased delivery plans.
• Produce AI briefs/PRDs, user stories and acceptance criteria, including guardrails, fallback behavior and human-in-the-loop requirements.
• Coordinate AI work across delivery streams and squads with engineering, UX, QA, operations and control functions.
• Work with Data Science & AI and Big Data teams on feasibility, data readiness, evaluation approach, instrumentation and KPI dashboards.
• Engage Risk, Compliance, Legal and Security early for medium/high-risk use cases, and ensure privacy, security, auditability and operational SOPs.
• Track AI developments such as agentic commerce and workflows and turn them into practical, responsible initiatives.

Required profile

• 5+ years as a Product Owner or Product Manager delivering digital products (banking, payments, fintech or large-scale consumer platforms preferred).
• Proven experience owning backlogs and coordinating delivery with cross-functional teams.
• Strong analytical skills: KPI definition, experiment design and data-driven prioritization.
• Strong stakeholder management and executive communication skills.

Required skills

• Practical understanding of AI product patterns (LLMs/conversational flows, knowledge-based retrieval, automation, personalization/recommendations)
• Preferred: delivered AI-enabled features (chatbots, agent assist, workflow automation, recommendations, document intelligence)
• Preferred: familiarity with AI quality evaluation and monitoring, and understanding of agentic patterns (tool-use, orchestration, human-in-the-loop, permissioning)