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
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