Senior Data & AI Product Manager – Retail (Hybrid)

Marks & Spencer Plc; Greater London; Hybrid; GBP 75,000 - 110,000; Full time

Benefits offered by this job

Colleague discount

Holiday entitlement

Bonus schemes

Pension scheme

Induction and training programs

Discounts via M&S Choices

Parental policies

Wellbeing support

Volunteer day

Job summary

Marks & Spencer plc is seeking a Senior Product Manager to lead data and AI solutions, from discovery through scaling, with strong retail domain expertise and stakeholder management. You will drive strategy, roadmaps, and cross-functional collaboration to deliver measurable outcomes.

The role emphasizes enterprise use cases, data science nuances, and the ability to balance strategic thinking with execution across complex environments. Join a dynamic team shaping the future of retail technology.

Qualifications

• Senior Product Manager with enterprise use cases and data science/AI solutions experience.
• Experience taking greenfield ideas from discovery to scaled solutions.
• Working knowledge of retail value chain, processes and decision making.

Responsibilities

• Lead discovery and development of large/complex data & AI use cases.
• Own the development & maintenance of a business domain's data & AI strategy.
• Develop clear roadmaps in lock-step with business partners and delivery managers.
• Assess opportunities with cross-functional teams to evaluate feasibility, viability, usability and value of solution hypotheses.
• Help manage prioritisation and deployment of resources across the department.

Skills

Data & AI

Greenfield ideation

Stakeholder management

Retail domain knowledge

Job description

Marks & Spencer plc is seeking a Senior Product Manager to lead data and AI solutions, from discovery through scaling, with strong retail domain expertise and stakeholder management. You will drive strategy, roadmaps, and cross-functional collaboration to deliver measurable outcomes.

The role emphasizes enterprise use cases, data science nuances, and the ability to balance strategic thinking with execution across complex environments. Join a dynamic team shaping the future of retail technology.