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# Senior AI Product Owner

- **Company:** Harnham
- **Location:** London, UK
- **Experience:** Expert
- **Salary:** £75,000.0 - £85,000.0
- **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/57231931

## About the Role

* 7+ years of experience in product environments, with 3+ years specifically on AI solutions.
 * Strong product management, product ownership, or transformation experience.
 * Practical experience working with AI or Generative AI solutions in a commercial environment.
 * Ability to identify, shape and prioritise AI opportunities based on business value.
 * Strong understanding of AI and GenAI capabilities, limitations and implementation considerations.
 * Experience taking digital, automation or AI initiatives beyond experimentation and into adoption.
 * Excellent stakeholder management and facilitation skills.
 * Strong commercial awareness with an outcomes-focused mindset.
 * Ability to work effectively across multiple initiatives simultaneously.
 * Experience defining success metrics and using data to measure impact.
 * Strong communication skills with the ability to influence a range of audiences.
 * Understanding of responsible AI, privacy and governance considerations.

## Description

As a Senior AI Product Owner, you will own a portfolio of AI opportunities across key commercial domains, helping stakeholders identify where AI can create value and ensuring solutions are successfully delivered and adopted., * Identifying and prioritising AI opportunities across commercial business functions.

 * Partnering with senior stakeholders to understand problems, define outcomes and shape AI use cases.
 * Leading discovery activities, workshops and problem-framing sessions.
 * Building and managing a prioritised portfolio of AI initiatives.
 * Taking AI solutions from ideation through proof of concept, production and adoption.
 * Defining value hypotheses, success measures and acceptance criteria.
 * Collaborating with AI specialists, technical teams and delivery functions to achieve outcomes.
 * Supporting the evaluation, selection and configuration of AI solutions where appropriate.
 * Coordinating user testing, gathering feedback and driving continuous improvement.
 * Leading adoption planning, including training, communications and process change.
 * Tracking usage, benefits realisation and commercial impact following deployment.
 * Ensuring initiatives align with security, privacy, compliance and responsible AI requirements.
 * Acting as the primary link between business stakeholders and the AI Centre of Excellence., * The opportunity to play a key role in a large-scale AI transformation programme.
 * Exposure to a broad portfolio of AI products and commercial use cases.
 * Strong visibility with senior stakeholders and AI leadership.
 * Excellent scope to influence strategy and develop expertise in AI product delivery.


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