Jobs at Ocado Logistics

Own and execute the enterprise data platform strategy, translating logistics objectives into product roadmaps and measurable business outcomes. Bridge data engineering, analytics, and business leadership while driving data quality, lineage, contracts, governance, and catalog adoption. Manage brownfield architectures, balance scalability with operational needs, and leverage cloud data warehouse capabilities such as BigQuery to improve the logistics technology ecosystem.

Leads data-driven process improvement projects across logistics sites, investigating root causes, eliminating operational losses, redesigning process maps and standards, monitoring KPIs, and embedding sustainable operational excellence. The role partners with frontline operators, subject matter experts, process owners, and leadership to distinguish process-design issues from execution challenges and deliver practical improvements.

Lead a key warehouse operation, managing 4–5 Area Managers and supporting large teams to achieve productivity, efficiency, service, and safety targets. Responsibilities include coaching leaders, building an engaging culture, improving processes, supporting continuous improvement, collaborating across teams, and contributing to recruitment and strategic projects. The role requires rotating 12-hour day and night shifts, four days per week across a seven-day operation.

Lead national LGV operations across five UK sites, managing regional transport teams and safeguarding Operator Licences. Drive compliance with DVSA, driver-hours, and tachograph regulations while controlling transport budgets, improving fuel efficiency, reducing vehicle downtime and empty running, and enhancing delivery performance. Use telematics, AI, and paperless workflows to support sustainability and operational excellence. Build relationships with site leaders, central teams, unions, regulators, and retail partners.

Lead a 12-month project to consolidate multiple data sources, identify root causes of order damages, and build statistical and machine-learning models. Deliver actionable insights, visualisations and reports to influence stakeholders, implement corrective actions, and mentor other data scientists.

Lead UK-wide workforce resource planning across delivery and fulfilment operations. Own headcount, hours, recruitment demand, labour budgets, forecasting, peak planning, and scenario modelling. Modernise planning tools through UKG integration, automation, and AI-enabled analysis. Improve resource accuracy and labour efficiency while presenting clear insights to senior stakeholders. Manage and develop a team of planners and analysts and collaborate with People, Finance, site leadership, and external recruitment partners.