Finance Manager - Data Center Growth

Amazon Web Services (AWS); Seattle (WA); On-site; USD 95,000 - 163,000; Full time

Job summary

Amazon.com Services LLC is seeking a Finance Manager within AWS Infrastructure Finance to lead financial analysis for data center growth. You will own models, perform due diligence on long-term infra commitments, and partner with senior leaders across legal, accounting and treasury to drive strategic financial decisions.

The role emphasizes building scalable finance processes, driving speed and insight, and delivering data-driven recommendations in a fast-paced environment.

Qualifications

• 5+ years of tax, finance or a related analytical field experience.
• 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.

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.

Skills

Financial analysis

Cross-functional leadership

Data analysis

Strategic planning

Education

Bachelor's degree in finance, accounting, business, economics

Tools

Financial modeling

Job description

Amazon.com Services LLC is seeking a Finance Manager within AWS Infrastructure Finance to lead financial analysis for data center growth. You will own models, perform due diligence on long-term infra commitments, and partner with senior leaders across legal, accounting and treasury to drive strategic financial decisions.

The role emphasizes building scalable finance processes, driving speed and insight, and delivering data-driven recommendations in a fast-paced environment.