Senior Financial Analyst, AWS WWSO Data & AI GTM Finance
Join the Amazon Web Services (AWS) Finance team as a key member of the AWS Specialist and Partner (ASP) Finance team supporting the Worldwide Specialist Organization (WWSO). WWSO provides deep technical expertise and hands-on support for customers on the AWS platform. In this role, you will work within the Data & AI Go-to-Market (GTM) Finance team, gaining exposure to Amazon's fastest-growing AI and Machine Learning services—including Amazon Bedrock, SageMaker, and generative AI—while shaping the financial strategy behind AWS's global customer offerings.
About the role
This position offers a unique opportunity to sit at the intersection of finance and frontier AI development. Your analytical work will directly influence investment decisions and go-to-market strategy for transformative AI technologies. We seek candidates with intellectual curiosity, a passion for understanding how AI technologies create business value, and the ability to establish governance mechanisms, drive planning, forecasting, and reporting rhythms.
Responsibilities
- Serve as a finance partner to WWSO leaders in the Data & AI space, providing financial support, driving business insights, and developing a deep understanding of how Data and AI services drive revenue growth and customer adoption.
- Deep dive into drivers of monthly and quarterly variances in revenue and expense metrics across Data and AI services (e.g., Amazon Bedrock, SageMaker, generative AI), providing key insights to stakeholders to inform operating strategies.
- Manage operating expense budgets for WWSO, ensuring spend remains on plan and the business stays on track against financial targets.
- Lead the maintenance of existing and development of new financial reports and advanced analytical tools to aid key decision-making.
- Drive process improvement and automation projects to scale reporting—including leveraging AI-powered tools and analytics—collaborating cross-functionally with service finance and sales operations teams.
- Perform ad-hoc analysis, write financial documents, build comprehensive tables/reports, and support cross-functional projects.
- Gain firsthand exposure to AWS's AI/ML go-to-market strategy, including product launches, customer adoption patterns, and competitive dynamics in the evolving AI landscape.
- Partner with AI service teams and specialist sellers to understand how AI creates customer value, translating technical innovation into financial narratives.
Requirements
- 3+ years of experience in tax, finance, or a related analytical field.
- 3+ years of experience building financial and operational reports/data sets that inform business decision-making.
- 3+ years of experience contributing to cross-functional initiatives that drive financial performance and strategy.
- Bachelor's degree in finance, accounting, or a related field.
Preferred Qualifications
- Experience in financial modeling, P&L management, or analysis.
- Experience in forecasting, budgeting, variance analysis, and interpreting financial results.
- Experience identifying, leading, and executing opportunities to improve, automate, standardize, or simplify finance or business tools and processes.
- Experience working with large-scale data mining and reporting tools (e.g., SQL, MS Access, Essbase, Cognos) and other financial systems (e.g., Oracle, SAP, Lawson, JD Edwards).
- Experience supporting technology Go-to-Market organizations or a desire to transition into the AI/cloud space.
Pay
- USA, NY, New York: $73,600.00 - $128,800.00 USD annually
- USA, VA, Arlington: $66,900.00 - $117,100.00 USD annually
- USA, WA, Seattle: $82,700.00 - $117,100.00 USD annually
Benefits
- Comprehensive health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, and optional supplemental life plans).
- Employee Assistance Program (EAP) and Mental Health Support.
- Medical Advice Line and Flexible Spending Accounts.
- Adoption and Surrogacy Reimbursement coverage.
- 401(k) matching.
- Paid time off and parental leave.
- Sign-on payments and restricted stock units (RSUs).
Learn more about our benefits at amazon.jobs/en/benefits.