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Supply Chain Manager III, Network Design, Planning & Engineering

Job in Bellevue, King County, Washington, 98009, USA
Listing for: Amazon
Full Time position
Listed on 2026-08-28
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering
Salary/Wage Range or Industry Benchmark: 115000 - 160000 USD Yearly USD 115000.00 160000.00 YEAR
Job Description & How to Apply Below

In this role, you will own the strategic design and continuous optimization of Amazon's hub network, driving connectivity improvements that deliver speed and cost efficiency year-round—not just during peak events. You'll operate at the intersection of network architecture and execution, partnering with Operations, Supply Chain Planning, Data Science, Product, and Finance to reimagine how middle mile flows connect origins to destinations through our hub infrastructure.

Leveraging advanced analytics and large-scale modeling, you will identify structural opportunities to improve hub utilization, redesign lane connectivity, and implement scalable automation that strengthens network resilience across all demand cycles. Whether you're architecting capacity strategies for evolving topology, leading cross-functional programs to unlock improvements, or building the frameworks that govern year-round network design, your work will directly shape how millions of packages move—and how quickly customers receive them.

This is a high-visibility, high-autonomy role where your decisions influence network design at network-wide scale impacting millions of packages weekly.

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.

Basic

Qualifications
  • 5+ years of program or project management experience
  • 5+ years of supply chain experience
  • Experience using data and metrics to determine and drive improvements
  • Experience owning program strategy, end to end delivery, and communicating results to senior leadership
  • Bachelor's degree in supply chain, business, engineering, finance or related technical or quantitative field
Preferred Qualifications
  • 5+ years of driving process improvements experience
  • Master's degree
  • Knowledge of SQL at an intermediate level, including: compile queries, subqueries, aggregation/grouping, data modification, etc.
  • Knowledge of Excel at an intermediate level (e.g., pivot tables & charts, multiple criteria lookups, nested logical/IF formulas, data cleansing, array formulas, etc.)
  • Experience defining program requirements and using data and metrics to determine improvements

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need…

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