SENIOR AI PRODUCT OWNER (36177)

Job Description

The Senior AI Product Owner is responsible for defining, developing, and delivering AI-powered digital products that address business challenges and create measurable value. Acting as the bridge between business stakeholders and technical teams, the role transforms business needs into scalable product solutions by defining product vision, prioritizing requirements, and guiding product delivery throughout the product lifecycle. The role balances business value, user needs, technical feasibility, and delivery constraints to maximize product impact.

Main Activities

- Product strategy and planning: define product vision, objectives and roadmap; identify, evaluate, prioritize and refine product opportunities, ideas and business requirements; support business case evaluations; define product success metrics and KPIs.
- Product ownership: act as a voice of the customer and ensure user stories are clearly defined and understood by the development team; manage and prioritize product backlog, write and refine epics, features and user stories; define and validate acceptance criteria to ensure delivered solutions meet business requirements; support planning, reviews and backlog refinement activities.
- AI solution delivery: collaborate with an AI technical team; translate business problems into AI product requirements; support solution validation, testing, user acceptance and performance evaluation activities; ensure solutions align with responsible AI and governance principles; drive MVP definition and iterative product improvements.
- Project leadership: coordinate multidisciplinary project teams; monitor progress, risks, dependencies and milestones; facilitate decision-making and issue resolution; drive successful deployment and adoption of delivered solutions.
- Stakeholder management: gather and validate business requirements; communicate product vision, progress and outcomes; align stakeholder expectations, negotiate priorities and build consensus across business and technical teams.
- Value realization: monitor adoption and business impact; collect user feedback and identify improvement opportunities; drive continuous product improvement based on data and user insights; ensure delivered solutions generate measurable business value.