Finance Manager, AWS Services GenAI

Amazon Web Services (AWS) is seeking a Finance Manager to be a key member of the AWS GenAI team. This role will own end to end finance support of Bedrock including OpEx management and planning/deep dives for Generative AI services. Additionally, this role will drive strategic new Generative AI 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
- Build complex financial models and analytical tools to measure overall financial performance
- Owning the bedrock GenAI services end to end, and influence business decisions that drive revenue and/or OpEx
- 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. - Bachelor's degree in business, finance, accounting, tax, economics, or a related analytical field
- 5+ years of finance, accounting, or related analytical field 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 - 6+ years of identifying incomplete or inaccurate data, identifying the root cause and creating/implementing an escalation plan experience
- 6+ 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
- 6+ years of applying key financial performance indicators (KPIs) to analyses experience
- 6+ years of building financial and operational reports/data sets that inform business decision-making experience
- 6+ years of creating process improvements with automation and analysis experience
- 6+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience

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 https://amazon.jobs/content/en/how-we-hire/accommodations 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 https://amazon.jobs/en/benefits.

USA, WA, Seattle - 95,400.00 - 163,200.00 USD annually