Senior Program Manager, Fleet Analytics & Strategy

Amazon Inc.

Bellevue (WA)

On-site

USD 180,000 - 240,000

Full time

14 days+

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Job summary

Amazon is seeking a Senior Program Manager to lead cross-functional product and technology initiatives, owning strategic and tactical programs across organizations and tech teams.

You will build and own vehicle lifecycle data models supporting maintenance decisions and forecast over $800MM in OpEx for 100K North American vehicles. You will apply analytical models to identify risks and improve efficiency across fleet operations.

Qualifications

  • Experience delivering complex programs and leading cross-functional product and technology initiatives.
  • Ability to build data models and forecasting for large OpEx.
  • Strong data analytics, critical thinking and problem-solving.
  • Ability to manage multiple priorities and communicate to senior stakeholders.

Responsibilities

  • Build and own vehicle lifecycle data models that determine whether vehicles should remain in operation, be hibernated, or be retired.
  • Establish forecasting mechanisms for planning-cycle operating costs in partnership with Finance.
  • Use advanced analytics and AI to identify trends, measure performance, detect risks, and prioritize areas for improvement.
  • Lead cross-functional initiatives that address systemic challenges and align near-term execution with long-term business objectives.
  • Communicate recommendations, risks, and progress to senior managers, business leaders, and other stakeholders to support timely decision-making.
  • Develop and oversee KPI reporting across the program portfolio, providing clear visibility into milestones, financial performance, risks, and delivery status.

Skills

Program management
Cross-functional leadership
Data analytics
Forecasting

Job description

Amazon is seeking a Senior Program Manager to lead cross-functional product and technology initiatives, owning strategic and tactical programs across organizations and tech teams.

You will build and own vehicle lifecycle data models supporting maintenance decisions and forecast over $800MM in OpEx for 100K North American vehicles. You will apply analytical models to identify risks and improve efficiency across fleet operations.

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