amazon

amazon

Posted via Amazon Jobs

Supply Chain Manager III, Network Design, Planning & Engineering

Posted Aug 19, 2026

Role at a glance

Salary
$115.4K – $160K/yr
Location
Bellevue, Washington, United States
Work arrangement
On-site
Employment
Full-time
Education
Bachelor's degree in supply chain, business, engineering, finance or related technical or quantitative field

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Role Summary

AI-generated

This role owns the strategic design and continuous optimization of Amazon's middle mile hub network, improving connectivity, speed, cost efficiency, utilization, and resilience across demand cycles. Working with Operations, Supply Chain Planning, Data Science, Product, Finance, and the NDPE team, the role shapes network-wide design decisions affecting how packages move through Amazon's outbound network.

What You'll Do

  • Evaluate demand patterns, node launches, and program expansions to guide middle mile connectivity strategy.
  • Establish network design principles balancing speed, cost, and resilience.
  • Simulate and validate network configurations for peak and non-peak periods.
  • Build visibility mechanisms that surface network performance insights to leadership.
  • Develop disruption response frameworks, identify vulnerabilities, and deploy contingency routing.
  • Partner across organizations on capital allocation, capacity planning, design trade-offs, and initiatives that simplify middle mile...

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Required

  • 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

  • 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

Original job description

Content provided by the employer

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 a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.



USA, WA, Bellevue - 115,400.00 - 160,000.00 USD annually
amazon

About the company

amazon

Large Enterprise

Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.