Senior Product Owner - AI

Senior Product Owner - AI

£80,000-£90,000 + £5,000 Car Allowance + Bonus (up to 20%)

London (Hybrid - 3x Days a Week in Office)

The Company

A leading UK organisation is undergoing a major AI transformation, with a dedicated AI Centre of Excellence responsible for identifying, developing and scaling AI opportunities across the business, and is seeking a Senior AI Product Owner. The AI team is moving beyond experimentation and proof-of-concepts, with a clear focus on taking successful AI solutions into production, driving adoption and delivering measurable business value. This is an exciting opportunity to join the AI Product function at a time of significant growth, working alongside senior AI Product leaders, AI Engineers and delivery specialists.

The Role

As the Senior AI Product Owner, you'll sit at the intersection of Product, AI, business strategy and delivery. This isn't a traditional Product Owner role where you'll own a single product roadmap; instead, you'll own a portfolio of AI opportunities, working with senior stakeholders to identify problems, shape use cases, prioritise initiatives and take solutions from discovery through to production and adoption. You'll be a trusted partner to the business and the key interface between the AI Centre of Excellence and your domain.

You'll be involved across the full lifecycle

Identifying and shaping AI opportunities

Leading discovery and problem-framing workshops

Prioritising a portfolio of AI initiatives

Defining business outcomes and success measures

Working with AI, engineering and delivery teams to take solutions into production

Supporting hands-on delivery where appropriate, including configurable AI tools and low-code/no-code solutions

Driving user testing, adoption and change

Measuring usage, business impact and value realisation

Iterating and improving solutions post-launch

Ensuring AI initiatives meet appropriate privacy, security and responsible AI requirements

You'll have a high level of autonomy and will be expected to take ownership, remove blockers and keep initiatives moving from idea through to measurable business outcome.

Your Skills & Experience

I am looking for someone with strong Product Management or Product Ownership fundamentals, combined with genuine hands-on experience delivering AI or GenAI solutions.

You'll ideally have

Strong experience in Product Management, Product Ownership, Business Analysis or Transformation

A track record of delivering measurable business outcomes

Experience across discovery, prioritisation, roadmap/backlog management, delivery and post-launch optimisation

At least one credible end-to-end enterprise AI or GenAI implementation

Experience taking an LLM-based solution from discovery through to production

Strong practical understanding of AI and GenAI capabilities and limitations

Excellent stakeholder management skills, including working with senior business and technical stakeholders

The ability to translate complex AI concepts into clear business language

Experience working across multiple initiatives in an ambiguous, fast-moving environment

A data-driven approach to prioritisation and measuring impact

Most importantly, you'll need to be able to clearly articulate

What AI solution did you deliver?

What was your personal ownership?

Why was that approach chosen?

How did you take it from discovery into production?

How did you measure success?

What business impact did it deliver?

What happened after launch?

How did you optimise the solution post-production?

The business is open to candidates from a broad range of industries. The key requirement is strong Product capability combined with genuine, demonstrable GenAI delivery experience. Candidates who have worked purely at a strategic, governance or oversight level without significant hands-on delivery experience are unlikely to be suitable.

The Benefits

Up to £90,000 base salary

£5,000 cash car allowance

Up to 20% bonus

How to Apply

Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page.