--- title: 'Category Management Senior Client Lead at dunnhumby' canonical: 'https://feeny.ai/job/category-management-senior-client-lead-dunnhumby-london-81hbh2m3rca9' type: 'job' last_seen: '2026-11-05' --- # Category Management Senior Client Lead at dunnhumby - **Company:** dunnhumby - **Location:** London, United Kingdom - **Posted:** 2026-11-05 - **Last confirmed live:** 2026-11-05 - **Apply:** https://job-boards.greenhouse.io/dunnhumby/jobs/8109547003 ## Job description Product Manager London, UK | Full-time, 11-month Fixed-Term Contract | Hybrid ## About 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. ## About the Role We’re looking for a Product Manager to join our Product team on a 11-month fixed-term contract, leading the development of data-driven, customer-centric products that help Tesco tailor ranges and planograms to individual stores. You’ll own the product lifecycle from research and discovery through to delivery and optimisation. Working closely with Tesco and our data science, engineering and analytics teams, you’ll translate user and business needs into scalable products that deliver measurable value. ## What You'll Be Doing You’ll take ownership of your product area, setting a clear direction while ensuring the team remains focused on solving the right customer and business problems. - Own the end-to-end product lifecycle, including research, discovery, delivery, measurement and continuous optimisation. - Define and execute product strategy, roadmaps and backlog priorities, ensuring the squad has clarity on the problems and opportunities that matter most. - Partner closely with data science, engineering and analytics teams to deliver scalable solutions, including data science models that are API ready. - Build a deep understanding of Tesco’s users and stakeholders, translating customer and commercial needs into clear product requirements, user stories and outcomes. - Establish measures of product success and use data, experimentation and customer feedback to inform decisions and continuously improve the product. ## What We're Looking For You’ll bring strong Product Management experience and be comfortable working across technical, analytical and commercial teams to turn complex requirements into clear product outcomes. - Proven Product Management experience delivering complex, data-led products across the product lifecycle, including hands-on research and discovery. - A strong analytical mindset, with experience working with data science, analytics or insights-driven products and an interest in how data can solve customer problems. - Technical understanding of APIs, ideally with experience delivering products or services that use APIs to make data or models scalable and accessible. - Strong stakeholder and client management skills, with the ability to communicate clearly, facilitate discovery and bring different teams together around a shared product vision. - Experience working in agile product environments, including managing roadmaps, prioritising backlogs and partnering closely with engineering or technical teams. ## What You Can Expect From Us We won't just meet your expectations. We'll defy them. So you'll enjoy the comprehensive rewards package you'd expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. And we don't just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process — please let your recruiter know what adjustments would help. UK benefits - Hybrid Working: We operate a hybrid working approach, as well as early Friday finishes. - Flexible Benefits Allowance: Can be used towards selected benefits, with any remaining unused allowance paid into salary or towards pension contributions. - Healthcare & Protection: Private Medical cover through Vitality (including the option to add partner and/or dependents), Healthcare Cash Plan, Life Assurance cover, Income Protection, Critical Illness cover and access to employee assistance support services. - Pension: Aviva pension scheme with up to 7.5% employer matching. - Leave Policies: 25 days annual leave (which increases over time) plus bank holidays, the option to purchase additional leave, and your birthday/name day off. We also offer a range of family leave benefits. Our approach to Flexible Working At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. For further information about how we collect and use your personal information please see our Privacy Notice which can be found [here](https://www.dunnhumby.com/recruitment-privacy-notice/) ## About dunnhumby ## Company Overview - **One-liner**: dunnhumby is a global Customer Data Science company that helps retailers and brands make faster, better decisions by combining customer data, AI-driven science, and decades of retail expertise. - **Entity Type**: Private (subsidiary of Tesco PLC) - **Headquarters**: United Kingdom (London area) - **Founded**: 1989 - **Founders**: Not publicly available ## Core Business - **Primary industry/industries**: Customer Data Science, Retail Analytics, Loyalty & Personalisation, Retail Media, Category Management - **Target customers**: B2B – retailers (e.g., Tesco, Meijer, Metro) and consumer packaged goods (CPG) brands (e.g., Coca‑Cola, Procter & Gamble, L’Oréal) – from small businesses to global enterprises. - **Mission or purpose statement**: “To enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers.” [dunnhumby.com](https://www.dunnhumby.com/wp-content/uploads/2024/11/dh-WhoWeAre-OnePager.pdf) ## Products & Services dunnhumby delivers a combination of technology, software, consulting, and media. Key offerings include: - **Category Management**: Data‑driven insights to optimise ranging, pricing, and merchandising decisions. - **Loyalty & Personalisation**: Tailored experiences that increase engagement and repeat purchases. - **Retail Media**: Helps brands and retailers connect with customers through personalised, measurable campaigns. - **Supplier Collaboration**: Tech‑enabled joint business planning for mutual growth. - **Customer Data & AI Strategy**: Proven frameworks to leverage customer data for business transformation. - **Price & Promotions**: Optimisation and forecasting to put customers first while improving profitability. All of these are powered by the **dunnhumby Customer Data Science Platform** – a proprietary mix of technology, software, and consulting. [dunnhumby.com](https://www.dunnhumby.com/) ## Market Standing - **Valuation/Market Cap**: Not disclosed (wholly owned by Tesco PLC) - **Key Metric**: Annual revenue of **£362.6 million** (LinkedIn, 2025 data) with **2,362 employees** (+6% YoY). - **Notable Investors/Partners**: Parent company **Tesco PLC**; key clients include **Coca‑Cola, Meijer, Procter & Gamble, L’Oréal, Metro**. - **Growth Signals**: - Operates in **33 countries** across Europe, Asia, Africa, and the Americas. - **70 active job postings** (as of mid‑2025), with a +29.6% monthly increase in job postings. - New **CEO Jamie Samaha** appointed effective July 20, 2026, signalling a strategic refresh. - 6% employee headcount growth year‑over‑year. ## Competitive Advantages - **30+ years** of dedicated retail customer data science experience. - **500+ data analysts and scientists** and partnerships with leading academic institutes. [dunnhumby.com PDF](https://www.dunnhumby.com/wp-content/uploads/2024/11/dh-WhoWeAre-OnePager.pdf) - Proprietary **Customer Data Science Platform** that uniquely combines technology, software, consulting, and media. - Deep, long‑standing relationships with the world’s largest retailers and CPGs (e.g., Tesco since inception). - AI‑driven science built on real loyalty data, providing a moat in personalisation and category optimisation. ## Strategic Focus - Expanding **Retail Media** as a new revenue stream for retailers. - Embedding **AI and machine learning** deeper into decision‑making tools. - Continuing global expansion – especially in the Americas and Asia. - Strengthening **supplier collaboration** and joint business planning capabilities. - Driving a **unified data strategy** for clients (e.g., a case study showing an additional $3M in annual profit for a fast‑food retailer). [dunnhumby.com](https://www.dunnhumby.com/) ## Why Work Here - **Culture**: Strong emphasis on diversity, equity & inclusion with employee network groups (dhThrive for wellbeing, dhEnabled for disabilities, Proud for LGBTQ+, Gender Equality). Named “Gender Equality Champion” and “Top 20 Accelerating Women’s Careers” in 2026. - **Values**: “Champion the customer behind the data”, “Treat people how they want to be treated”, “Collaborate for impact”, “Own your part”, “Stretch the thinking.” - **Work environment**: Not explicitly labelled remote/hybrid, but global offices and a Technology & Product team of 672 suggest flexibility. LinkedIn ratings show a **4.3/5** employer score with high marks for work‑life balance (4.5) and culture (4.4). - **Engineering & data science culture**: 672 technical employees and 377 in research; active hiring for Senior AI Software Engineer, Applied Data Scientist, and Data Science Engineer roles. The company uses AI in hiring for fairness (human final decisions) and encourages candidates to use AI tools in applications. - **Notable perks**: Emphasis on skills‑based hiring; partnerships with Code First Girls to open tech careers; mental health support through dhThrive. ## Sources 1. [dunnhumby.com – Main site](https://www.dunnhumby.com/) 2. [dunnhumby.com – Careers page](https://www.dunnhumby.com/careers/) 3. [dunnhumby.com – Culture page](https://www.dunnhumby.com/our-culture/) 4. [LinkedIn – dunnhumby company page](https://www.linkedin.com/company/dunnhumby) 5. [dunnhumby.com – Who We Are PDF](https://www.dunnhumby.com/wp-content/uploads/2024/11/dh-WhoWeAre-OnePager.pdf) ## Other roles at dunnhumby - [Advertising Operations Associate](https://feeny.ai/job/advertising-operations-associate-dunnhumby-medellin-2znpydybbyrf) — Medellin, Colombia - [Applied Data Science Manager](https://feeny.ai/job/applied-data-science-manager-dunnhumby-bentonville-6wm8xrs8zm0k) — Bentonville, AR / Cincinnati, OH - [Shopper Insights Client Associate](https://feeny.ai/job/shopper-insights-client-associate-dunnhumby-south-africa-k0x839pkjpm3) — South Africa - [Shopper Insights Client Associate](https://feeny.ai/job/shopper-insights-client-associate-dunnhumby-bentonville-q7qhb4p6rtjz) — Bentonville, AR - [Production Associate](https://feeny.ai/job/production-associate-dunnhumby-london-h4brw70wvfq9) — London, United Kingdom - [Client Partnership Manager](https://feeny.ai/job/client-partnership-manager-dunnhumby-london-qra0w27e226w) — London, United Kingdom - [Programmatic Ad Ops Lead](https://feeny.ai/job/programmatic-ad-ops-lead-dunnhumby-gurgaon-r2vfsjj9pc2s) — Gurgaon, India - [Lead Engineer(.Net)- Backend](https://feeny.ai/job/lead-engineer-net-backend-dunnhumby-gurgaon-j06r1rdqns8m) — Gurgaon, India - [Insights Enablement Lead](https://feeny.ai/job/insights-enablement-lead-dunnhumby-london-c4m6d336awxk) — London, United Kingdom - [Retail Client Manager](https://feeny.ai/job/retail-client-manager-dunnhumby-toronto-y1543ryz6g2f) — Toronto, Canada