Have you ever ordered a product on Amazon and when that box with the smile arrived, wondered how it got to you so fast? Wondered where it came from and how much it cost Amazon? If so, the Amazon Global Supply Chain Optimization Technology (SCOT) organization is for you. SCOT works on the most difficult problems in the industry. To maintain Amazon’s leadership in the industry, SCOT fosters continuous improvement, advocating game-changing ideas that create ever more intelligent and self-learning systems to maximize the efficiency, automation and scale of Amazon's massive supply chain operation.

The EU network S&OP team within SCOT forecasts inventory flows to and from each country - what Amazon receives from its vendors/sellers, and what it ships from its Fulfillment Centers (FCs). We are also responsible for measuring S&OP performance, and driving continuous improvement in the tools and methods used by S&OP teams to plan local networks, optimizing for reliability, speed, cost and sustainability.
We work as part of Supply Chain Optimization Technology (SCOT) teams in North America & EU, who own the systems and the inputs we rely on to plan our networks. We also work closely with EU stakeholders in EU STEP, Transportation, Ops Retail and Finance teams.

We are looking for a Senior Product Manager - Tech who can be in charge of new models to drive improvements in S&OP accuracy, automation, and plan optimality – partnering with teams across SCOT.
You will be in charge of creating new automated data pipelines and processes, building the single source of truth for all operations teams relying on S&OP data to make business decisions.

Key job responsibilities

Designing and implementing complex data models, developing advanced analytics solutions, and creating insightful dashboards and reports.
Collaborate closely with cross-functional teams, including operations, finance, and product management, to identify opportunities for supply chain optimization.
Translating business requirements into technical specifications, conducting in-depth data analysis, and communicating findings to both technical and non-technical stakeholders.
Mentoring junior team members, driving best practices in data engineering and visualization, and contributing to the overall data strategy of the supply chain organization.