Finance Manager, AWS GenAI

Requirements

• 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
• 6+ years of identifying incomplete or inaccurate data, identifying the root cause and creating/implementing an escalation plan experience
• MBA, or CPA
• Knowledge of SQL/ETL
• Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
• USA, WA, Seattle - 95,400.00 - 163,200.00 USD annually

Additional Information

Amazon Web Services (AWS) is seeking a Finance Manager to be a key member of the Gen AI Finance team. This role will own end to end finance support including P&L management and planning for GenAI services. Additionally, this role will drive strategic new feature launches and process improvements across the organization. The successful candidate will be able to communicate effectively, manage multiple and time sensitive deliverables across a highly matrixed organization, along with managing risks and opportunities. The individual will also possess strong business partnership skills and collaborate effectively with key stakeholders. Key job responsibilities - Take the lead in financial planning; build complex financial models and analytical tools to measure overall financial performance - Owning the GenAI services end to end, and influence business decisions that drive revenue and/or capital expenditures - Support strategic new features launch and ad-hoc requests and assist in various requests from finance and business leadership. - 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.

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