AI PRODUCT OWNER / SENIOR AI PRODUCT OWNER
Summary
The AI Product Owner manages the AI product lifecycle at a major bank, acting as the bridge between business stakeholders and engineering teams. Key responsibilities include backlog refinement, writing user stories, coordinating agile sprint ceremonies, and overseeing user acceptance testing for AI-driven financial solutions.
Internal |
Job Purpose\:
To support the delivery and management of AI products, acting as the day-to-day interface between business stakeholders and engineering delivery teams. The role is responsible for managing the AI product backlog, defining and refining user stories and acceptance criteria, coordinating sprint activities, and tracking delivery progress to ensure AI initiatives are executed in alignment with business requirements and product roadmap priorities.
The AI Product Owner works closely with the AI Product Head to translate strategic product objectives into well-structured, sprint-ready requirements, and with engineering and data teams to facilitate clear and efficient delivery execution.
Job Description\:
Roles and Responsibilities
1.Manage and maintain the AI product backlog, ensuring all items are clearly defined, appropriately prioritized, and sprint-ready in collaboration with the AI Product Head and engineering delivery teams.
2.Write detailed user stories, acceptance criteria, and functional requirements for AI product features and initiatives, translating business needs into actionable engineering specifications that guide development teams.
3.Facilitate sprint planning, backlog refinement, and sprint review ceremonies, coordinating between business stakeholders and the AI engineering team to maintain delivery momentum and alignment.
4.Act as the day-to-day point of contact for business stakeholders and end users, gathering requirements, communicating delivery progress, and managing expectations on scope, timelines, and outcomes.
5.Collaborate with the AI Engineering Manager and AI Solution Architect to validate technical feasibility of requirements, incorporate engineering constraints into sprint planning, and resolve specification ambiguities.
6.Track and report on sprint delivery progress, backlog health, and release milestones, escalating risks, blockers, and scope changes to the AI Product Head in a timely manner.
7.Coordinate user acceptance testing activities for AI product releases, working with business users to define test scenarios, facilitate testing sessions, and confirm acceptance of delivered functionality.
8.Support the AI Product Head in maintaining business cases and benefit tracking frameworks, gathering data on usage metrics, adoption rates, and business KPIs post-deployment.
9.Maintain up-to-date product documentation, including product specifications, feature release notes, and user guides, ensuring documentation is accessible and accurate for both technical and business audiences.
10.Work with Enterprise Data & AI Governance and Risk functions to ensure product requirements incorporate applicable governance, compliance, and risk management considerations from the outset.
11.Support AI product adoption efforts by contributing to onboarding materials, training content, and user feedback collection mechanisms that drive sustained utilization of deployed AI capabilities.
Policies, Processes and Procedures
12.Follow all relevant department policies, processes, standard operating procedures and instructions so that work is carried out in a controlled and consistent manner
Day- to-day operations
13.Follow the day-to-day operations related to own jobs in the AI Product department to ensure continuity of work
Compliance
14.Comply with all relevant CBE regulations, banking laws, AML regulations and internal CIB policies and code of conduct in order to maintain CIB’s sound legal position and mitigate any potential risks