Jobs at dunnhumby

Lead and develop a software engineering team responsible for building scalable retail media technology. Partner with Product, Design, and stakeholders to define priorities, translate business needs into technical solutions, and deliver reliable software. Promote modern engineering practices, quality standards, testing, CI/CD, scalable architecture, security, maintainability, collaboration, inclusion, and ongoing professional development.

Develop and deploy statistical models, machine learning solutions, and analytical applications for retail clients. Translate complex customer data problems into scalable, reusable insights that drive personalization, pricing, promotions, loyalty, and measurable commercial outcomes. Collaborate with client leadership and multidisciplinary teams, define new workstreams, communicate technical concepts to nontechnical audiences, and help develop colleagues.

Build, extend, and maintain dunnhumby’s business intelligence platform within its Data Science Platform. Integrate BI capabilities into products and internal workflows, develop reliable data and reporting solutions, and apply strong coding, testing, and development practices. The role involves SQL, database modeling, semantic layers, data visualization, BI tools, and cloud technologies across GCP and Azure, with opportunities to work on architecture, observability, and emerging AI capabilities.

Leads customer engagement and CRM initiatives for clients, translating customer insights into personalized communications and loyalty programs. Partners with analysts, data scientists, and client stakeholders to improve retention, campaign performance, and customer value. The role includes strategic planning, stakeholder influence, project delivery, people leadership, team coaching, and Agile cross-functional collaboration.

Provides administrative and coordination support to the Media Sales Team, including updating systems, managing bookings and contracts, tracking campaign pipelines, invoicing, audience segmentation, campaign measurement, and ensuring timely completion of team actions. The role also supports process improvements and cross-functional collaboration while requiring strong organization, prioritization, communication, multitasking, and attention to detail.

Serve as trusted retail client partner: build C-level relationships, define strategy, govern priorities, identify high-value opportunities, drive delivery and upsell, lead and coach account team, measure ROI and client impact, manage account P&L, and share retail insights to drive loyalty and category management solutions.

Lead category management strategy, assortment and planogram optimisation, and sales analysis for clients. Use shopper and sales insights to drive category growth, influence retailer and manufacturer stakeholders, provide consultative recommendations, and deliver presentations as a trusted advisor.

Develop and execute CRM, loyalty, and lifecycle marketing strategies for retail clients. Translate customer insights, segmentation, propensity models, and predictive analytics into personalized campaigns across app, email, SMS, push, retail media, and in-store channels. Measure campaign performance, apply test-and-learn methodologies, provide strategic recommendations, coordinate delivery teams, build client relationships, and identify opportunities to expand customer engagement capabilities.

Lead the Connected Store channel roadmap and deliver in‑store media solutions (digital screens, activations, technology). Own end-to-end projects from pilot to scale, enable commercial propositions and pricing, manage rollouts, define measurement frameworks, collaborate cross‑functionally, manage partners/suppliers, and track performance and budgets to drive revenue and customer experience innovation.

Lead annual business planning by translating strategy into plans and milestones, track performance via KPIs and risk registers, provide financial analysis, forecasting and budgeting, produce executive-level presentations, align cross-functional stakeholders, and embed planning best practices to drive Tesco Media growth.

Support planning, coordination and delivery of media initiatives across in-store and connected channels. Create go-to-market and sales materials, analyse customer and campaign data to generate insights, coordinate stakeholders and project governance, maintain trackers and documentation, and improve processes to drive efficient campaign delivery.

Serve as a trusted technical partner for Brazilian clients, leading data discovery, ensuring data quality, investigating issues, shaping data roadmaps, coordinating cross-functional teams, and delivering cloud-based data solutions using SQL and Python.

Lead sales operations within Demand & Supply to drive sales performance through data analysis, reporting and process optimisation. Partner with Sales, Product and Finance to build dashboards, monitor KPIs, support planning (budgeting/forecasting), improve CRM and sales tooling, and enable revenue growth for retail/media clients.