Amazon is looking for Finance Manager, DC Growth, AWS Infrastructure Finance in Seattle, WA. This local job opportunity with ID 3863337258 is live since 2026-10-02 08:16:19.

Overview

In this Finance Manager role, you will help scale AWS Infrastructure Finance by supporting data center growth and long-term infrastructure commitments. You'll partner with senior leaders to shape financial decisions at global scale, building models and delivering data-driven recommendations. The role blends analytical work with cross-functional collaboration across legal, accounting, and treasury. You'll act as a catalyst for faster, more informed financial processes in a high-impact, rapidly evolving environment.

Compensation / Benefits

• health insurance (medical, dental, vision)
• RSUs and sign-on payments
• 401(k) matching
• paid time off
• parential leave
• EAP and mental health support

Responsibilities

• Own driving process and analytical improvements as the business scales
• Support financial analysis and due diligence on large, complex long-term infrastructure commitments
• Build and maintain financial models including assumption updates, scenario runs and sensitivity analyses
• Own the monthly close process for infrastructure financing workstreams: track actuals vs. plan, prepare variance commentary, and update FCF bridge analyses
• Conduct ad-hoc financial analysis to support senior leadership requests
• Deliver data-driven recommendations to senior leaders
• Partner cross-functionality with business, legal, accounting and treasury teams

Key requirements

• 5+ years of tax, finance or related analytical field experience
• Bachelor's degree in finance, accounting, business, economics, or related analytical field
• 5+ years of dissecting financial data and identifying patterns that support business strategy
• 5+ years of leading cross-functional initiatives that drive financial performance and strategy

• cross-functional collaboration
• strong analytical mindset
• ability to manage tight deadlines
• financial modeling
• scenario analysis
• variance analysis