Supply Chain Manager III, Network Design, Planning & Engineering
Summary
Owns strategic design and optimization of Amazon's middle mile hub network, using advanced analytics and large-scale modeling to improve connectivity, cost efficiency, and resilience across the transportation network.
Key job responsibilities
- Drive the evolution of the middle mile network strategy by continuously evaluating emerging demand patterns, node launches, and program expansions to inform where and how connectivity should scale.
- Establish and maintain design principles that guide decision-making when competing priorities arise, codifying how the network balances speed, cost, and resilience in practice.
- Simulate and validate proposed network configurations against real-world variability, ensuring design choices are timed well to support peak and non-peak periods
- Build and maintain visibility mechanisms that surface network performance insights to leadership, enabling data-driven prioritization and rapid course correction on a recurring cadence.
- Own the operational response framework for network disruptions, proactively identifying vulnerability points and deploying contingency routing to preserve customer promise during degraded conditions.
- Partner across organizations to build consensus on capital allocation, capacity planning, and design trade-offs that require multi-team commitment and shared accountability.
- Ideate and sequence initiatives that simplify middle mile complexity, reducing unnecessary handoffs while improving sortation efficiency
About the team
The Network Design, Planning and Engineering (NDPE) team supports the connectivity and flow of Amazon's transportation network through data-driven insights. We are a collaborative group of supply chain managers, data scientists and data engineers who value curiosity, knowledge sharing, and building reliable, scalable solutions. Our work directly impacts how millions of packages move through Amazon's outbound network every day. We foster a learning-focused environment where team members grow through mentorship, technical reviews, and exposure to complex, large-scale data challenges.