Data & AI Product Manager — Hybrid

Marks and Spencer; Greater London; Hybrid; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Colleague discount 20%

Holiday entitlement

Discretionary bonus schemes

Defined contribution pension

Induction and training

Discounts via M&S Choices

Parental/adoption policies

Wellbeing support

Volunteer day

Job summary

Marks & Spencer in London is seeking a Product Manager to drive data & AI initiatives across business units, translating problems into measurable impact. You will partner with stakeholders and apply a deep understanding of the value chain to deliver business results.

Working with data analytics, data science and data engineering experts, you will shepherd discovery from design to build, launch and ongoing support, balancing ambiguity with stakeholder needs and delivering value to customers.

Qualifications

• A curious and motivated product manager, or someone with adjacent experience eager to grow in the Data & AI space.
• Familiar with data science, advanced analytics, or AI concepts.
• Comfortable navigating ambiguity, solving problems and collaborating across teams.
• A clear communicator who enjoys bringing ideas to life.
• Empathetic, proactive, and focused on delivering value.

Responsibilities

• Understand business problems and use cases in detail to reach solution hypothesis.
• Drive discovery and development of data & AI solutions with cross functional teams.
• Manage and balance priorities of stakeholders, ensuring roadmaps and product strategies align with business goals.
• Ensure product outcomes are defined and measured throughout the lifecycle, whilst articulating value generation.
• Evangelise data-led decision making and drive adoption with colleagues.

Skills

Product management

Data concepts

Cross-functional

Communication

Job description

Marks & Spencer in London is seeking a Product Manager to drive data & AI initiatives across business units, translating problems into measurable impact. You will partner with stakeholders and apply a deep understanding of the value chain to deliver business results.

Working with data analytics, data science and data engineering experts, you will shepherd discovery from design to build, launch and ongoing support, balancing ambiguity with stakeholder needs and delivering value to customers.