AI Product Lead; Sizewell C)

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Location:

Based in London on a hybrid basis, with travel to Suffolk as required.

Contract:

Permanent, full-time.
Salary:

Competitive dependant on experience,plus benefits

• Annual Leave: 28 days per annum, increasing to 30 days after 5 years of service, plus bank holidays.
• Bonus:5% annual bonus.
• Pension Contributions:
  Defined Contribution Pension Scheme with up to 7.5% employee contribution 15% employer contribution.

Closing Date:

Sunday 19th July 2026.

Sizewell C is entering an exciting phase of growth as we mature into an independent organisation and continue building one of the UK’s largest and most important energy projects.

As AI Product Lead, you will shape and implement the AI product strategy, governance and roadmap for Sizewell

C. This is a unique opportunity to establish how AI is adopted, governed, and scaled across a nationally significant programme.

You will own the end-to-end AI product portfolio, from opportunity discovery and business case development through to governance, adoption and value realisation. You will ensure AI products are aligned to business priorities, deliver measurable outcomes, and meet the highest standards for security, transparency, safety, and compliance.

Working in partnership with the AI Engineering Lead, you will shape an outcome-driven AI roadmap, prioritise investment, oversee AI governance, and help establish AI as a strategic capability across Sizewell

C. We’re looking for an experienced product leader with a strong understanding of AI technologies and a track record of delivering AI-enabled products in complex organisations.

• Strong understanding of AI and machine learning concepts, products and market developments, with the ability to apply them to complex business problems.
• Experience leading AI, digital or data products in complex organisations, from opportunity assessment through to operational adoption and value realisation.
• Experience establishing governance, controls and assurance processes for digital, data or AI products in regulated or risk-sensitive environments.
• Experience evaluating software vendors and third-party technology products, including commercial, governance and risk considerations.
• Ability to work effectively with AI engineering and delivery teams, with sufficient technical understanding to challenge, prioritise and guide product decisions.
• Knowledge of responsible AI, model assurance, adoption, product performance management and lifecycle governance.
• Familiarity with the Microsoft AI ecosystem and broader enterprise AI tooling landscape would be advantageous.

Be part of one of the most important low‑carbon energy projects in the UK.

Work in a mission-driven environment that values innovation, integrity, and long‑term sustainability.

Competitive salary, comprehensive benefits, and opportunities for career development.

Flexible and hybrid working options.

Be open to other’s points of view and ideas, be willing to debate and to compromise

Positively challenge poor quality and performance
Identify solutions at the lowest possible level
Encourage tier 1s and others to bringnew ideas forward

Value the rules and environment in which we operate
Give and receive feedback with respect
Embrace and engage with new people and ideas

One team, working closely together and helping each other
Empowered teams always looking forward.
Shared responsibility for delivery the project outcomes

Communicate clearly and…