At Amazon Supply Chain, we power the world's fastest-growing e-commerce business and embrace the mission of being Earth’s most customer-centric company. As our business continues to expand, the customer fulfillment operations become larger and more complex each year.
We are now seeking an experienced Process Improvement Specialist to build and run an E2E process including input consumption, forecast validation and integration/plan publish to downstream teams. This is a Day 1 opportunity to be part of an entrepreneurial and pioneering team building from the ground up. You will understand cross functional dependencies, map out the existing process flow and make recommendations to improve on the teams future state. You will also analytically manage the data solutions and tools to challenge your input providers and defend the final forecast hedgest o senior stakeholders (up to Director). You will lead collaborations with business, product management and engineering teams to drive improvements.
If you are someone who has shown success in driving large projects, coordinating with business stakeholders across multiple geographies while pioneering new ways to do things, we would like to talk to you.


Key job responsibilities
Develop (as an individual contributor) a new process to streamline forecast consumption, transformation and explain-ability.
Manage advanced visualization solutions to allow business and tech stakeholders to deep dive and understand the teams forecasts.
Collaborate with leaders across multiple teams to ensure alignment with business goals and objectives.
About the team


About the team
The Network Sales and Operations Planning (S&OP) team forecasts all inventory flows across the entire North America Fulfillment network. We manage everything from what Amazon receives from vendors and sellers to what it ships from our Fulfillment Centers (FCs). The network S&OP forecast is the starting point of a weekly planning process spanning first, middle mile, last mile and defining the amount of resources (trucks, labor) that need to be secured to ensure we fulfil our customer orders at the highest speed, best quality, lowest cost and carbon intensity possible. We collaborate closely with Supply Chain Optimization Technology (SCOT) teams in North America and internal tech stakeholders across Transportation, Labor Planning, and Finance teams, reconcile bottom-up and top-down inputs to build forecasts which are accurate and explainable as possible. We also partner with Supply Chain Execution (SCE) teams as well as Science partners to define the optimal allocation under constraints of volumes across the 9 Regions of the US fulfillment network