Overview
Turn AI use cases into a prioritised backlog, a clear value case and outcomes delivered with engineering teams.
What you'll do
- Discover and prioritise AI use cases with business owners
- Own the backlog, user stories and acceptance criteria
- Build value cases, success measures and benefit tracking
- Coordinate data, engineering and risk stakeholders
- Set evaluation criteria and make release decisions with AI engineers
- Support user adoption, training and change
- Own roadmaps and stakeholder reporting
What you bring
- Product owner or product manager experience on data or AI products
- Understanding of generative AI and machine-learning capabilities and limits
- Agile delivery and backlog management
- Strong stakeholder engagement and facilitation
- Ability to define measurable outcomes
- Awareness of data privacy and responsible AI practices
You don't need every item on this list. If most of it fits, send your CV.
Nice to have
- Industry domain knowledge
- Product certification such as CSPO or SAFe POPM
- Hands-on prototyping or analytics skills
- Experience with evaluation frameworks
- Change management experience