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Finance Manager, AWS Services GenAI

Job in Seattle, King County, Washington, 98194, USA
Listing for: Amazon
Full Time position
Listed on 2026-09-03
Job specializations:
  • Finance & Banking
    Financial Analyst, Financial Reporting
Job Description & How to Apply Below
Description

Amazon Web Services (AWS) is seeking a Finance Manager to join the AWS GenAI team. In this role, you will own end-to-end finance support for Generative AI services, including revenue and OpEx management, planning, and deep dives. You will also drive strategic new Generative AI feature launches and lead process improvements across the organization.

The successful candidate will communicate effectively, manage multiple time-sensitive deliverables across a highly matrixed organization, and proactively manage risks and opportunities. Strong business partnership skills are essential, as you will collaborate closely with key stakeholders across the business.

Key job responsibilities

- Lead financial planning; build complex financial models and analytical tools to measure overall financial performance.

- Own Generative AI services end to end, influencing business decisions that drive revenue and/or capital expenditures.

- Identify opportunities for efficiency improvements, including automation and coordination with upstream and downstream organizations.

- Partner with finance teams across AWS to standardize, streamline, and prioritize improvements, remove roadblocks, and increase the reliability and efficiency of reporting.

Basic Qualifications

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

- Bachelor's degree in finance, accounting, business, economics, or a related analytical field (e.g., engineering, math, computer science), or Bachelor's degree and 5+ years of quantitative role (engineering, process re-engineering, quality assurance) experience

- 5+ years of dissecting financial data and identifying patterns that support business strategy experience

- 5+ years of leading cross-functional initiatives that drive financial performance and strategy experience

Preferred Qualifications

- 5+ years of identifying incomplete or inaccurate data, identifying the root cause and creating/implementing an escalation plan experience

- 5+ years of solving complex business challenges by delivering accurate and timely financial models, analysis, and recommendations that have a proven impact on business (e.g., financial savings, operational improvements, or customer benefits) experience

- MBA, or CPA

- Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)

- Experience delivering forecasting, budgeting, and variance analysis, and data interpretation of results

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit  (Use the "Apply for this Job" box below).  for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.

Learn more about our benefits at   .

USA, WA, Seattle - 95,400. USD annually
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