Capacity Planning & Network Optimization Lead

Amazon

New York (NY)

On-site

USD 94,000 - 142,000

Full time

14 days+

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Benefits offered by this job

Medical, Dental, and Vision Coverage
Maternity and Parental Leave Options
Paid Time Off (PTO)
401(k) Plan

Job summary

Amazon is seeking a capacity planning professional to shape ultrafast delivery across North America. In this role you will design and implement long-term capacity models, analyze demand forecasts, and work with cross-functional teams to optimize network capacity for future growth.

You will collaborate with Retail, Finance, Real Estate, Tech, and Operations to translate data into strategic initiatives, build scalable processes, and deliver data-driven insights that improve service levels and

Qualifications

  • 3+ years of program or project management experience.
  • 3+ years of working cross functionally with tech and non-tech teams experience.
  • 3+ years of defining and implementing process improvement initiatives using data and metrics experience.
  • 2+ years of supply chain experience.

Responsibilities

  • Design and implement long-term capacity models considering customer coverage, demand forecasts, capacity constraints, and cost efficiency.
  • Develop and execute strategic initiatives to enhance network capacity.
  • Define long-term building requirements that consider future business initiatives.
  • Plan for new automation initiatives that impact building design, capacity, and costs.

Skills

Program management
Cross-functional collaboration
Data-driven process improvement
Supply chain experience
SQL

Education

Bachelor's degree

Tools

Excel (Pivot Tables, VLookUps)
SQL

Job description

Amazon is seeking a capacity planning professional to shape ultrafast delivery across North America. In this role you will design and implement long-term capacity models, analyze demand forecasts, and work with cross-functional teams to optimize network capacity for future growth.

You will collaborate with Retail, Finance, Real Estate, Tech, and Operations to translate data into strategic initiatives, build scalable processes, and deliver data-driven insights that improve service levels and

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