The Product Owner (Artificial Intelligence & Data) will partner with business stakeholders and technical teams to identify opportunities, define requirements, and guide delivery. The role requires strong relationship skills, sound product judgment, and the ability to balance user needs, technical feasibility, governance requirements, and delivery capacity.
Responsibilities- Develop and maintain a roadmap for internal AI tools and data capabilities.
- Prioritize opportunities based on business goals, user needs, feasibility, and measurable value.
- Define product goals and success measures during discovery.
- Track adoption and results, including improvements in efficiency, cost, and quality.
- Lead stakeholder interviews, workshops, and workflow mapping to understand business needs.
- Identify repetitive tasks, process friction, data requirements, and opportunities for AI and automation.
- Translate findings into clear problem statements, user journeys, epics, user stories, and acceptance criteria.
- Build trusted relationships across technical and business teams to support informed product decisions.
- Own and continuously refine the product backlog.
- Partner with delivery teams to support backlog refinement and planning.
- Work with engineering, data, and AI specialists to assess feasibility, evaluate trade-offs, and manage dependencies.
- Incorporate security, legal, privacy, and responsible AI requirements into product decisions.
- Support experimentation, user education, and adoption.
- Communicate priorities, progress, risks, and product outcomes clearly.
Required Qualifications- Bachelor's degree in a relevant discipline or equivalent professional experience.
- At least five years of experience in product ownership, product management, business analysis, digital delivery, or a closely related role.
- Demonstrated ability to develop roadmaps, prioritize backlogs, and write clear requirements and acceptance criteria.
- Experience gathering input from varied stakeholders and translating it into actionable product requirements.
- Experience mapping workflows and identifying opportunities for process improvement, automation, or AI.
- Experience working with software, data, analytics, machine learning, or AI teams.
- Ability to communicate effectively with technical specialists and business stakeholders.
Preferred Qualifications- Product ownership or product management experience with enterprise tools, data products, or AI products.
- Working knowledge of the software development lifecycle, Agile delivery, and product discovery.
- Hands-on experience with generative AI tools and an understanding of their practical capabilities, limitations, and responsible use.
- Familiarity with product planning, collaboration, and work management tools.
Personal Attributes- Builds trust through clear communication, curiosity, and reliable follow-through.
- Listens carefully and uncovers the underlying need behind a request.
- Considers how people, processes, data, technology, and governance connect.
- Keeps decisions focused on user needs and measurable outcomes.
- Works effectively through ambiguity, making assumptions and risks clear.
- Collaborates openly and contributes to a supportive, inclusive team environment.
What Success Looks LikeBusiness needs are clearly understood, AI opportunities address practical workflow challenges, and delivery teams have a prioritized, actionable backlog. Products are adopted by users and demonstrate measurable improvements against goals established during discovery.
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