AI Product Manager
Posted on 9 November 2026
£85,000 – £95,000
Permanent
AI Product Manager
Data, Analytics & AI
33440
Opportunity description
Job Title:
AI Product Manager
AI Product Manager
Department: Technology
Reports to: Head of Data, Analytics & AI
Location: Bedfordshire (1 day per week in office)
Base Salary: £85,000 – £95,000 plus bonus and other benefits
Contract: Permanent, Full-Time
Stanton House is partnering with a private equity-backed business currently undergoing a significant transformation programme looking to appoint AI Product Manager to lead the organisation's AI strategy and adoption agenda.
Role Overview
This role will be responsible for identifying high-value AI opportunities, prioritising investment based on commercial impact, and ensuring initiatives deliver measurable business outcomes.
Acting as the bridge between business stakeholders and technical teams, the successful candidate will define and prioritise AI use cases, oversee delivery, and drive adoption across the organisation. The role combines product leadership, commercial ownership, stakeholder engagement, team management and AI governance.
Responsibilities
Essential
Department: Technology
Reports to: Head of Data, Analytics & AI
Location: Bedfordshire (1 day per week in office)
Base Salary: £85,000 – £95,000 plus bonus and other benefits
Contract: Permanent, Full-Time
Stanton House is partnering with a private equity-backed business currently undergoing a significant transformation programme looking to appoint AI Product Manager to lead the organisation's AI strategy and adoption agenda.
Role Overview
This role will be responsible for identifying high-value AI opportunities, prioritising investment based on commercial impact, and ensuring initiatives deliver measurable business outcomes.
Acting as the bridge between business stakeholders and technical teams, the successful candidate will define and prioritise AI use cases, oversee delivery, and drive adoption across the organisation. The role combines product leadership, commercial ownership, stakeholder engagement, team management and AI governance.
Responsibilities
- Define and own the AI roadmap, ensuring initiatives are prioritised based on business value, feasibility, cost and risk.
- Partner with stakeholders to identify, assess and prioritise AI opportunities across the business.
- Develop business cases, success measures and ROI frameworks for AI initiatives.
- Track adoption, performance and business value, ensuring solutions deliver measurable outcomes.
- Lead build-versus-buy decisions and manage relationships with external vendors and technology partners.
- Lead, mentor and develop technical team members while supporting future capability growth.
- Work closely with Data, Analytics and Engineering teams to deliver AI solutions successfully.
- Define requirements, priorities and success criteria for AI products and initiatives.
- Drive awareness and adoption of AI capabilities through effective stakeholder engagement and communication.
- Establish governance, risk management and responsible AI practices, ensuring compliance with legal, security and data privacy requirements.
Essential
- Experience delivering AI, machine learning or advanced analytics initiatives that have generated measurable business value.
- Strong Product Management or Product Ownership experience.
- Commercial ownership with accountability for ROI, prioritisation and benefits realisation.
- Experience managing technology vendors and third-party partners.
- Previous people management experience within technical or data-focused teams.
- Strong understanding of AI and machine learning concepts with the ability to challenge technical approaches and assess feasibility.
- Excellent stakeholder management, communication and influencing skills.
- Ability to translate between technical specialists and business stakeholders.
- Understanding of AI governance, risk management and responsible AI practices.
- Experience within large-scale consumer, retail, hospitality, logistics or other operationally complex environments.
- Experience delivering Generative AI or Large Language Model (LLM) solutions.
- Familiarity with modern cloud and data platforms.
- Experience building new capabilities, functions or centres of excellence.
- Exposure to organisation-wide AI adoption and transformation programmes.
