Senior Product Manager

dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail – one of the world’s most competitive markets, with a deluge of multi-dimensional data – dunnhumby today enables businesses all over the world, across industries, to be Customer First. 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, Meijer, Procter & Gamble and Metro. dunnhumby powers Tesco Media and Insight Platform through its partnership with Tesco, the UK’s largest grocery retailer. A fully dedicated team, closely integrated with Tesco teams, business strategies and planning processes, we always put the customer first. Fueled by data from over 23 million Clubcard households, our closed-loop measurement helps understand consumer behaviour and ensures that every pound of your advertising budget is spent targeting the right customer, at the right time, with the right message across the full marketing funnel. We’re looking for a talented and passionate Senior Product Manager who expects more from their career. It’s an opportunity to work on one of the most advanced Retail Media Platforms in the industry - where data, AI, and creativity automation meet commerce. Your mission will be to turn retailer and campaign data into actionable insights that help brands maximise ROI and plan high-performing, retail-aligned media strategies. Responsibilities :Define and lead the vision, roadmap, and delivery of the tools that help brands and agencies plan smarter, forecast outcomes, and allocate budgets effectively across all Tesco Retail Media channels including Onsite, Store, Offsite and CRM. Monitor evolving media planning trends, competitor capabilities, and planner expectations to ensure our tools remain best-in-class. Combine product management excellence with a deep understanding of media planning fundamentals — from channel selection and reach/frequency modelling to budget allocation, performance forecasting and promotional alignment Define and deliver features that enable media planners to: build multi-channel campaign plans, allocate budgets dynamically across channels taking into account the promotion interplay, forecast reach, ROI and incremental sales, compare scenario outcomes with predictive models. Translate complex analytical models (e.g. reach curves, MMM outputs) into accessible, actionable product features. Collaborate with cross-functional squads — design, data science, engineering, proposition, and UX research — to ensure planning workflows are intuitive, insight-rich, and aligned with planner needs — empowering confident, data-driven decisions. Partner with the data and science teams to define the datasets and algorithms powering our insights & planning tools (e.g., reach curves, budget optimisers, sales lift predictors). Define success metrics and build dashboards that quantify campaign planning effectiveness and adoption. Champion data integrity and scalability — ensuring planners can trust the numbers they see. Prioritise the detailed product backlog, working with technical teams to ensure sprint level releases are aligned to the strategic product roadmap. Work closely with engineering and design teams on a day-to-day basis to resolve challenges and ensure we build quality products our users love while championing agile software development best-practice Manage the roll out of the product within the business (e.g. system and process updates, communications and training to all appropriate areas). Support the Product Marketing team to produce training and education materials for internal and external upskilling where required. Role model our dunnhumby values: Passion, Curiosity, Collaboration & Courage What we expect from you Bachelor/ Master’s degree or equivalent in business, marketing, engineering. Strong background or exposure in media planning, media strategy, or marketing analytics, ideally within a retailer, agency, or CPG. Deep understanding of media planning / forecasting tools in self-serve flows and key media planning concepts — reach and frequency modelling, diminishing returns, budget allocation, incremental ROAS, and cross-channel optimisation. Experience working with experimentation frameworks, forecasting models, or campaign simulation tools. Understanding of data privacy, attribution, and measurement frameworks (MMM, MTA, clean rooms). Proven track record delivering data-driven products that enable forecasting, optimisation, or scenario planning. Experience delivering tools that simplify complex data into intuitive, decision-ready interfaces. Comfortable working with data science teams to translate models into productised tools. Experience with multi-tenant B2B SaaS or self-serve ad platforms preferred. Soft Skills Strategic thinker with an analytical mindset and strong commercial acumen. Exceptional communicator able to translate between technical and non-technical audiences. Strong empathy for end users — able to anticipate user needs and translate them into intuitive product experiences. Highly collaborative; thrives in cross-functional, matrixed environments. Comfortable engaging directly with senior brand, agency, and retailer stakeholders.