Product Manager - Retail & Insights

dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro. 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 and its underlying data and insight capabilities, improving both client outcomes and operational efficiency. Write clear product requirements, user stories, acceptance criteria, and — where relevant — API contracts, data mappings, and integration specifications. Act as a primary point of contact for client and partner stakeholders, ensuring requirements are communicated, understood, and delivered successfully. Define and manage the lifecycle of features and data integrations from discovery through implementation, monitoring, and ongoing maintenance. Ensure product requirements weigh both the user experience and the underlying data quality, integration, security, and privacy considerations. Identify and frame product problems before they are fully specified — validating the underlying client and user need rather than only executing a defined brief. Measure what matters Measure adoption, reliability, scalability, and the operational performance of the product and its capabilities. Define and monitor both client outcomes and non-functional requirements including data quality, latency, uptime, observability, security, and resilience. Prioritise work that improves the client's path to an answer, alongside automation, consistency, and platform scalability. Build your product matu…