Product Manager - AI

Mitchells & Butlers plc; Birmingham; Hybride; GBP 70 000 - 95 000; Plein temps

Avantages offerts par ce poste

Hybrid work model

Résumé du poste

Mitchells & Butlers plc in the United Kingdom is seeking a commercially minded Product Manager to lead discovery and investment definition for a new enterprise AI capability. This is a 6-month fixed-term contract with potential extensions and a permanent role, operating in a hybrid model with travel to head offices and partner locations as needed.

You will collaborate with the Enterprise AI Solution Architect, Engineering, Data and Cyber Security teams to identify high-value use cases,

Qualifications

• Experience managing enterprise platform, data, integration or AI-enabled products is essential.
• Strong product discovery, stakeholder management, commercial evaluation, roadmap development and business-case skills are required.
• Candidate should have a good working understanding of generative AI, LLMs, AI assistants and agent-based systems.
• Experience with MCP, RAG or enterprise AI platforms would be highly desirable.

Responsabilités

• Identify and prioritise highest-value supplier, guest and colleague use cases using measurable outcomes, feasibility, risk and strategic alignment.
• Define business outcomes, value measures, capability requirements and acceptance criteria.
• Identify knowledge, data, APIs, systems, tools and workflows required; work with Architecture and Data teams to assess constraints, dependencies and quality gaps.
• Define governance, ownership, decision rights and risk appetite with privacy, access, permissions, monitoring and control requirements.
• Lead product, commercial and operating-model assessment of build, buy and partner options, including MCP, RAG and enterprise integration platforms.
• Define and validate proof-of-concept hypotheses and success criteria for priority use cases.
• Own the product roadmap and business case, and develop phased implementation roadmap with Architecture and Engineering.

Connaissances

Enterprise product management

Product discovery

Stakeholder management

Commercial evaluation

Roadmap development

Business-case development

Generative AI familiarity

Outils

APIs

Description du poste

Product Manager - AI

We have an exciting opportunity for a Product Manager to join us on an initial6-month fixed term contract. With the opportunities for extensions and apermanent role. We are looking for a commercially minded, technically confidentProduct Manager to lead product discovery and investment definition for a newenterprise AI capability.

Working alongside the Enterprise AI Solution Architect,Engineering, Data and Cyber Security teams, you will identify and prioritisevaluable use cases, define business outcomes and capability requirements, alignstakeholders, and own the product strategy, roadmap and business case.

You will need sufficient knowledge of generative AI, data,APIs and integrations to challenge assumptions, understand technical trade-offsand make informed product decisions. TheProduct Manager will actively contribute to the technical discovery and capabilitydecisions working closely with the Architect

This is a hybrid role, withtravel required to our head offices, brand sites and partner locations asneeded.

You’ll be rewarded with:

• 33% discount across all M&B brands.
• 20% Friends & Family discount for up to five people.
• Option to buy up to two additional weeks of holiday.
• Matched pension contributions (up to 1.5x your contribution).
• Private healthcare and dental plan.
• Cycle to Work and wellbeing schemes.
• 26 days annual leave plus bank holidays.
• Hybrid working and flexible approach.

What you will be doing in this Product Manager AI role:

• Identify and prioritise the highest-value supplier,guest and colleague use cases using measurable outcomes, feasibility, risk andstrategic alignment.
• Define business outcomes, value measures, capabilityrequirements and acceptance criteria.
• Identify the knowledge, data, APIs, systems, tools andworkflows required, including their ownership and criticality; work withArchitecture and Data teams to assess constraints, dependencies and qualitygaps.
• Define business governance, ownership, decision rightsand risk appetite, agreeing privacy, access, permissions, monitoring andcontrol requirements with relevant specialists.
• Lead the product, commercial and operating-modelassessment of build, buy and partner options, including MCP, RAG and enterpriseintegration platforms.
• Define and validate proof-of-concept hypotheses andsuccess criteria for priority use cases.
• Own theproduct roadmap and business case, and jointly develop the phasedimplementation roadmap with Architecture and Engineering.

What you will have delivered:

• Enterprise AI Enablement product vision, principlesand product strategy.
• Prioritised supplier, guest and colleague use-caseportfolio.
• Defined business outcomes, value measures, capabilityrequirements and acceptance criteria for priority use cases.
• Business requirements catalogue covering theknowledge, data, APIs, systems, tools and workflows required, includingownership, criticality, dependencies and quality gaps.
• Business governance, ownership, decision-rights andacceptable-use model, with agreed privacy, access, permissions, monitoring andcontrol requirements.
• Product, commercial and operating-model assessment ofbuild, buy and partner options, contributing to a joint recommendation with theArchitect.
• Defined proof-of-concept hypotheses and successcriteria, supported by validated business outcomes and user evidence.
• Overall product roadmap and jointly developed phasedimplementation roadmap, combining business priorities and benefits withtechnical dependencies, costs and resourcing evidence.
• Benefits and measurement model, including AIperformance, adoption and commercial outcomes.
• Evidence-based business case supporting investment andprioritisation decisions.

Whatskills you will bring to the Product Manager AI role:

• Experiencemanaging enterprise platform, data, integration or AI-enabled products isessential.
• Strongproduct discovery, use-case prioritisation, stakeholder management, commercialevaluation, roadmap development and business-case skills are required.
• Candidatesshould have a good working understanding of generative AI, LLMs, AI assistantsand agent-based systems, sufficient to work effectively with architects andengineers and understand the implications of technical decisions.
• Experiencewith MCP, RAG or enterprise AI platforms would be highly desirable.

What makes Mitchells & Butlers a great place to work?

At M&B we value the unique perspectives each person brings. Webelieve that by fostering a culture of inclusion, respect, and allyship, wecreate a sense of belonging, engagement and teamwork which are essential todelivering great guest experiences.

Join us and be a part of a great team!

Closing Date: Monday 2nd November 2026 11:59pm

Compensation: Competitive salary