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# Technical Infrastructure Project Manager

- **Company:** Amazon.com, Inc.
- **Location:** Seattle, WA, United States
- **Experience:** Expert
- **Salary:** $148,700.0 - $201,200.0
- **Contract:** Permanent contract
- **Skills:** Data Warehousing, Database Queries, Power BI, Tableau (Software), Graphics Processing Unit (GPU), Build Management, Information Technology, Looker Analytics, Data Pipelines
- **Published:** August 28, 2026
- **Apply:** https://www.amazon.jobs/en/jobs/10515954/technical-infrastructure-project-manager

## About the Role

5+ years of program management or technical project management experience

 - - Demonstrated ability to define and deliver internal systems/solutions/products end-to-end - from requirements gathering through deployment and adoption
 - - Experience with BI/visualization platforms (QuickSight, Tableau, Looker, or Power BI)
 - - Strong SQL skills and familiarity with data warehousing concepts
 - - Bachelor's degree in Engineering, Computer Science, Supply Chain, or related technical field, Experience in hardware supply chain, semiconductor sourcing, or compute infrastructure operations
 - - Track record of building reporting systems that serve multiple teams or business units simultaneously
 - - MBA or Master's degree in a technical or quantitative discipline
 - - Comfortable presenting to VP-level audiences and translating technical concepts into business narratives

## Description

**Infrastructure Systems** - Design and build scalable internal tools, automation workflows, and data pipelines that support supply chain planning, demand forecasting, and operational execution across hardware commodities (accelerators, GPUs, programmable logic, etc.).

 - **Operations Reporting & Dashboards** - Own end-to-end reporting infrastructure: define KPIs, build self-service dashboards (QuickSight, Tableau, or custom), and ensure data freshness and accuracy for weekly business reviews and executive reporting.

 - **Cross-Commodity Project Management** - Drive alignment across multiple commodity workstreams; track milestones, surface risks, and maintain a single source of truth for supply chain health.

 - **Tooling & Automation** - Identify manual, repetitive processes and replace them with automated solutions (scripts, bots, integrations) that save hours of toil per week.

 - **Long-Term Forecasting Infrastructure** - Build and maintain forecasting models and supporting data pipelines that enable multi-quarter and multi-year demand/supply planning across hardware commodities; partner with finance and planning teams to translate forecasts into actionable procurement signals.


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