Product Manager - Retail & Insights

About dunnhumby

dunnhumby is the global leader in Customer Data Science, helping the world's most ambitious retailers and brands put the customer at the heart of every decision. With nearly 3,000 experts across Europe, Asia, Africa and the Americas, we partner with iconic businesses like Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro to turn data into growth, innovation and measurable value for their customers.

Product

Our Product team owns the vision, strategy and roadmap for the dunnhumby platform — the data, science and software that powers retailers and brands around the world. We work at the intersection of customer data, AI, and commercial impact, building products that turn insight into measurable growth.

Job Purpose:

Work closely with the product squad to define and deliver user-centric insight and analytics products that help retailers and their supplier and CPG partners make better, faster decisions with customer data. You will build a deep understanding of how these clients work — the questions they are trying to answer and the journeys they move through — and translate that into clear product requirements that make those journeys effective and intuitive, end to end.

Alongside this, you will develop a platform mindset: thinking beyond individual features to reusable, scalable data and insight capabilities — including those delivered through APIs and integrations into client systems — that serve users well while supporting long-term scalability and reuse. The two sides of this role carry equal weight: the platform exists to enable the client's insight journey, not the other way around.

Key Accountabilities

Contribute to shaping the end-to-end experience 

• Build a strong understanding of the end-to-end user journey for retailer and supplier users, from the initial business question through to the decision or action enabled by the product. 
• Contribute to product decisions by bringing together validated client needs, user behaviour, commercial context, and relevant data and platform considerations. 
• Work closely with design and research teams to help shape insight experiences, outputs, and interactions that are clear, intuitive, and reduce the effort required to reach meaningful answers. 
• Consider the broader client workflow beyond the product interface, including exports, reporting, and downstream analysis, so the product supports practical business use. 

Drive your squad

• Work closely with engineering, data science, and design counterparts to define and deliver scalable capabilities aligned to the wider product and platform strategy.
• Define product increments that maximise reuse through APIs, shared data services, and configurable frameworks rather than point solutions.
• Collaborate across Product domains so insight, data, and delivery work together into a coherent client experience.

Execute with Excellence

• Own the execution roadmap for the product a