Teams at John Lewis Partnership

Create and improve item-location demand forecasts supporting replenishment, stock availability, waste reduction, seasonal events, and S&OP. Analyze and cleanse complex datasets, build scenario models, identify external data sources, automate workflows, and optimize enterprise planning tools. Translate technical insights for Commercial, Supply Chain, and Distribution stakeholders, contribute to planning forums, mentor partners on data literacy, and ensure GDPR and GSCOP compliance.

Build and evolve a scalable, secure, reliable Partnership Data Platform using Google Cloud and Snowflake. Lead engineering approaches, infrastructure-as-code practices, CI/CD, automation, and platform services while collaborating with technical and non-technical stakeholders. Mentor and coach engineers, influence technical strategy, support project shaping, and potentially manage people. The role requires cloud engineering expertise, Python automation, system reliability and security knowledge, Agile teamwork, and experience with generative AI tools.

Lead analysts and improve productivity, efficiency, and cost performance across a retail distribution network. Manage site budgets, P&Ls, operational cost analysis, performance reporting, business cases, ROI tracking, and continuous improvement benefits. Partner with distribution sites, Finance, Supply Chain leadership, and third-party logistics providers to identify risks, manage variances, translate forecasts into budgets, and support strategic change programs.