Analytics Manager - Resource & Workforce Planning

Analytics Manager | Hybrid | Hatfield

Please note:

Candidates must already have the right to work in the UK; this position is not eligible for visa sponsorship now or in the future

At Ocado Logistics, we’re redefining the future of supply chain and logistics. With cutting-edge technology, expanding operations, and innovative partnerships, our mission is to deliver seamless, efficient, and customer-first experiences at scale.

We are the beating heart of our UK operations, comprising a network of advanced warehouses and offices that optimise operations and leverage proprietary technology across the supply chain. Joining us means tackling high-impact challenges, collaborating with cross-functional teams, and shaping the way the world shops, all while growing your career in a fast-paced, supportive environment.

We are looking for an Analytics Manager - Resource & Workforce Planning to own the answer to one of our most consequential questions: how many people, doing how many hours, in which locations, do we need to run our network over the months and quarters ahead.

You will lead the team that produces the headcount and hours plan for our entire UK operation. This includes the delivery drivers who reach our customers and the colleagues who fulfil their orders across our automated fulfilment centres and regional sites. That plan is the single source of truth that drives our recruitment demand, our roster capacity and a multi-million-pound labour budget.

Get it right and our sites are resourced to serve customers efficiently; get it wrong and the cost lands in service, in overtime, or in colleagues we didn’t need.

This is a role for someone who wants to modernise how that work is done, not simply keep it running. We are connecting our planning tooling directly to our workforce management platform, rebuilding models that have outgrown legacy setups, and using AI tools as a normal part of how the team analyses, models and builds.

• Own the network resource plan:
  Produce and own the mid-to-long-term headcount and hours plan across our driver and fulfilment-centre populations; the single, trusted number that everything downstream depends on.
• Drive our recruitment demand:
  Set the resource requirement we place with our third-party recruitment partner and hold them to delivery against it, partnering with our People team and site leadership to convert plans into people on the ground.
• Own the labour budget process:
  Lead the headcount and hours element of the annual budget and in-year reforecast, and explain with rigour the movement between plan, budget and actual.
• Sharpen accuracy where it counts:
  Improve the precision of short-notice resource flex and drive down labour turnover through better planning practice — the two levers with the most direct effect on cost and service.
• Rebuild the toolset:
  Own and modernise the resource planning toolset, including its integration with our workforce management platform (UKG), replacing manual effort with automation and cutting cycle time.
• Lead on AI as a way of working:
  Embed AI tools into how the team analyses, models, documents and builds. Bring the judgement to know where they add value and where they don’t. We expect this role to materially reduce the time the team spends on repeatable work.
• Plan for peak and for change:
  Provide the labour plan that lets us deliver Christmas and other peaks at high utilisation and service, and lead the resource and cost scenarios behind new sites, volume shifts and operating-model changes.
• Develop the team:
  Lead, coach and grow a team of Planners and Analysts, raising both their technical capability and their ability to give senior stakeholders the “so what”.

• Workforce or resource planning expertise:
  Strong experience in resource, workforce or capacity planning within a large operational environment (e.g logistics, retail, transport, contact centre or consultancy).
• Technical capability: SQL against a cloud data warehouse (Big Query or similar) is essential, alongside strong model-building skills. Python or an equivalent scripting language is strongly desirable. We care that you can guide the automation and…