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# Senior AI Product Owner

- **Company:** Harnham
- **Location:** London, UK
- **Experience:** Expert
- **Salary:** £75,000.0 - £90,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Software Product Management, Generative AI
- **Published:** August 13, 2026
- **Apply:** https://www.reed.co.uk/jobs/senior-ai-product-owner/57231195

## About the Role

* Strong Product Management or Product Ownership experience within a commercial environment
 * Experience working on AI or Generative AI products and use cases
 * Demonstrable ability to identify, shape and deliver AI solutions that create business value
 * Strong stakeholder management skills, including engagement with senior decision-makers
 * Experience leading discovery and translating business problems into product opportunities
 * Commercially minded with the ability to balance customer needs, business outcomes and technical feasibility
 * Comfortable operating in ambiguity and managing multiple initiatives simultaneously
 * Strong communication and facilitation skills, with the ability to drive alignment and decision-making
 * Experience taking AI solutions beyond experimentation and into scalable production environments

## Description

As a Senior AI Product Owner, you will act as a domain lead across multiple AI initiatives, helping to bridge the gap between commercial stakeholders and technical delivery teams., * Identifying and prioritising AI and Generative AI opportunities across commercial functions

 * Working with senior stakeholders to understand business challenges and define high-value use cases
 * Leading discovery activities, problem framing and opportunity assessment
 * Building and managing a prioritised portfolio of AI initiatives
 * Taking AI products from concept and proof of value through to deployment and adoption
 * Defining success metrics, value hypotheses and acceptance criteria
 * Collaborating with AI specialists, engineers and delivery teams to bring solutions into production
 * Driving testing, feedback collection and iterative product improvement
 * Supporting user adoption through training, communication and operational change
 * Measuring product performance, business impact and realised benefits
 * Balancing innovation with governance, compliance, security and responsible AI practices


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