Supply Chain Manager, Engineering Capacity Planning
Supply Chain Manager, Engineering Capacity Planning
Posted on :
22-06-2025
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1 Vacancy
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Job Description
As a Supply Chain Manager within the Amazon Sortation Center (SC) network you will play a critical role in ensuring that our 120 buildings meet the complex demands of Amazons next-day and two-day delivery promises. Our Sortation Centers (SCs) process packages from fulfillment centers and sort them by delivery zip code for last-mile delivery to our customers. The primary goal of this role is to maximize the utilization of our SCs to reduce cost to serve while ensuring customer needs for on-time and accurate delivery are met. This requires matching diverse package types and volumes to the optimal SCs based on each facilitys layout material handling equipment and operational capacity.
Key job responsibilities
- Capacity Planning and Optimization: Develop and implement solutions to optimize SC throughput balancing yard and dock constraints sorter capacity and staging needs to meet same-day and two-day delivery objectives.
- Data-Driven Problem Solving: Use data to identify bottlenecks and potential efficiency gains within SC operations enhancing processing speeds and accuracy while adapting to network-level changes in demand and flow patterns.
- Network Standardization Initiatives: Contribute to and lead projects focused on standardizing processes across SCs focusing on material handling equipment dock staging and yard throughput to improve overall capacity and operational consistency.
- Automation Initiatives: Contribute to and lead projects focused on automating process paths in SCs such as unloading loading container building and container movement in collaboration with Design Engineering.
- Cross-Functional Collaboration: Collaborate with teams in Planning Sales Operations and other stakeholders to assess the impact of network changes on individual SCs and ensure seamless adjustments across the network.
- Documentation and Knowledge Sharing: Document insights decisions and lessons learned fostering a culture of continuous improvement and collaborative problem-solving across the network.
- Customer-Centric Approach: Champion customer needs by working to enhance the SC networks ability to deliver on Amazons promises of rapid and reliable delivery.
About the team
Engineering Capacity Planning teams mission is to optimize network capacity and non-capacity build plans for Sort Centers within the NASC Engineering organization. As the hub for NASC Engineering planning efforts we integrate workstreams across all stages of the Sort Center lifecycle enabling the actualization of standardization and optimization efforts. We are dedicated to delivering solutions that drive efficiency and excellence in our capacity utilization and lifecycle cost of our assets.
- 3 years of defining and implementing process improvement initiatives using data and metrics experience
- 3 years of program or project management experience
- 3 years of working cross functionally with tech and non-tech teams experience
- 2 years of supply chain experience
- Bachelors degree
- Experience defining program requirements and using data and metrics to determine improvements
- 3 years of driving end to end delivery and communicating results to senior leadership experience
- 3 years of driving process improvements experience
- Experience in stakeholder management dealing with multiple stakeholders at varied levels of the organization
- Experience building processes project management and schedules
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $77200/year in our lowest geographic market up to $141500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Key job responsibilities
- Capacity Planning and Optimization: Develop and implement solutions to optimize SC throughput balancing yard and dock constraints sorter capacity and staging needs to meet same-day and two-day delivery objectives.
- Data-Driven Problem Solving: Use data to identify bottlenecks and potential efficiency gains within SC operations enhancing processing speeds and accuracy while adapting to network-level changes in demand and flow patterns.
- Network Standardization Initiatives: Contribute to and lead projects focused on standardizing processes across SCs focusing on material handling equipment dock staging and yard throughput to improve overall capacity and operational consistency.
- Automation Initiatives: Contribute to and lead projects focused on automating process paths in SCs such as unloading loading container building and container movement in collaboration with Design Engineering.
- Cross-Functional Collaboration: Collaborate with teams in Planning Sales Operations and other stakeholders to assess the impact of network changes on individual SCs and ensure seamless adjustments across the network.
- Documentation and Knowledge Sharing: Document insights decisions and lessons learned fostering a culture of continuous improvement and collaborative problem-solving across the network.
- Customer-Centric Approach: Champion customer needs by working to enhance the SC networks ability to deliver on Amazons promises of rapid and reliable delivery.
About the team
Engineering Capacity Planning teams mission is to optimize network capacity and non-capacity build plans for Sort Centers within the NASC Engineering organization. As the hub for NASC Engineering planning efforts we integrate workstreams across all stages of the Sort Center lifecycle enabling the actualization of standardization and optimization efforts. We are dedicated to delivering solutions that drive efficiency and excellence in our capacity utilization and lifecycle cost of our assets.
- 3 years of defining and implementing process improvement initiatives using data and metrics experience
- 3 years of program or project management experience
- 3 years of working cross functionally with tech and non-tech teams experience
- 2 years of supply chain experience
- Bachelors degree
- Experience defining program requirements and using data and metrics to determine improvements
- 3 years of driving end to end delivery and communicating results to senior leadership experience
- 3 years of driving process improvements experience
- Experience in stakeholder management dealing with multiple stakeholders at varied levels of the organization
- Experience building processes project management and schedules
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $77200/year in our lowest geographic market up to $141500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
Manager
Employment Type
Full-Time
Department / Functional Area
Key Skills
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