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Amazon in Madrid is seeking a Technical Program Manager to own the planning mechanisms for its European network. You will combine demand forecasts, building plans, and capacity constraints into a coherent plan while engaging senior stakeholders to drive repeatable processes.
You will coordinate input intake, validate assumptions, run scenarios, and present findings. The role emphasizes data-driven decisions, cross-team collaboration, and continuous improvement of planning tools and reports.
Description
Have you ever ordered something on Amazon and wondered how it reached you so fast? The answer starts years earlier, with a plan. Long Term Planning decides which of our sites connect to which, how volume flows between them, and how much capacity we need - one to three years ahead of the customer placing the order.
We are looking for a Technical Program Manager to join that team in Madrid. You will own the mechanisms that turn dozens of separate inputs - demand forecasts, building plans, speed targets, cost targets, capacity constraints - into one coherent plan for Amazon's European network. It is a role for someone who is comfortable both in the data and in a room of senior stakeholders, and who would rather build a repeatable process than run the same manual exercise twice.
You start by checking whether this week's inputs have landed and passed validation. Mid-morning you are in a partner-team review, unblocking a missing assumption. The afternoon you spend in the data, quantifying what that assumption does to speed, cost and capacity, and writing up the answer for a decision meeting later in the week.
Long Term Planning designs Amazon's European transportation network one to three years out, optimising for delivery speed, cost to serve and customer experience. Our plans are the basis for building, capacity and investment decisions across the region, so we sit at the centre of a wide set of partners - Operations, Finance, Science, Product, Engineering and Retail. The team is a mix of program managers, business intelligence engineers, scientists and analysts, and we are deliberately transversal: we work on the problems that cross organisational boundaries, because those are the ones nobody else can own.
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