Lead, Inventory & Long-Term Forecasting

Amazon Inc.

New York (NY)

On-site

USD 127,000 - 185,000

Full time

18 hours ago
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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
Parental leave
RSUs

Job summary

Amazon.com Services LLC in New York is seeking a Sr Program Manager to own the strategic vision and execution for the Inventory and Inbound plan for North America. You will lead multi-year roadmaps, presenting to senior leaders and aligning multiple teams to deliver forecasting insights and actions.

The role involves collaboration with data scientists, economists, engineers, and business customers to design viewing capabilities, auditing tools, what-if analyses, and forecast intervention

Qualifications

  • 5+ years of program or project management 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.

Responsibilities

  • Lead large, cross-functional planning and strategy workstreams that impact Amazon long term Inventory and capacity.
  • Regularly presenting to VP and SVP level leaders
  • Prioritizing operational excellence work alongside feature delivery on a roadmap
  • Showing strong business acumen with strategic, analytical, and critical thinking
  • Managing planning calendars and strategic review mechanisms
  • Driving organizational alignment across multiple teams and stakeholders
  • Are passionate about defining the future US fulfillment network

Skills

Program management
Data-driven decisions
End-to-end delivery
Communicating to senior leaders

Education

Bachelor's degree

Job description

Amazon.com Services LLC in New York is seeking a Sr Program Manager to own the strategic vision and execution for the Inventory and Inbound plan for North America. You will lead multi-year roadmaps, presenting to senior leaders and aligning multiple teams to deliver forecasting insights and actions.

The role involves collaboration with data scientists, economists, engineers, and business customers to design viewing capabilities, auditing tools, what-if analyses, and forecast intervention

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