Finance Manager, AWS EC2 GenAI Finance

Amazon is hiring a Finance Manager, AWS EC2 GenAI Finance in Seattle, United States. It pays $95k-$163k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this finance role Little AI ●○○○: aI is not part of the work.
Level classes it as a senior role.
Amazon has 21,000+ other open roles on Level.
Posted in the last few days.

AI in this role

Looking for a superstar Finance Manager for supporting Gen AI finance team in AWS.

Are you looking for that next big Finance opportunity? Looking for a business partnering role with full P&L responsibility? Want to directly influence the future of some of the most successful products in cloud computing? Join us at AWS Finance!

Amazon Web Services (AWS) is a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of enterprise, government and start-up business and organizations in over 190 countries around the world. Launched in 2006, Amazon Web Services officially began offering developer customers access to web services – now widely known as cloud computing – based on Amazon’s own back-end technology platform.

This position will work closely with finance management as well as key business partners across the AWS organization, including product managers, engineering leaders, sales and business development leadership, and internal AWS teams to drive thoughtful analysis and controllership.

The successful candidate will implement and drive the core financial processes for the business including Annual Operating Plans, Service P&Ls, Monthly/Quarterly Business Reviews, identify and quantify financial/operational Risks and Opportunities (R&O) to the business, and drive ad-hoc business projects.

This role requires a self-starter with a strong financial modeling background, problem solving skills, a keen attention to detail, ability to work in a fast-paced environment with ambiguous situations, and solid skills in people management and thought leadership. This role has regular interaction with various business units across Amazon and requires strong people skills.

Key job responsibilities
- Build out and enhance P&L models, develop business insights and KPI dashboards, and lead ad hoc analyses.
- Support new business initiatives/products/feature launches; understand cost models and drive pricing decisions.
- Provide revenue deep analytics and communicate effectively to senior business team leaders.
- Take the lead in financial planning and analysis; building complex financial models and analytical tools to measure overall financial performance, including short and long range financial/operational forecasts, and communicating results to senior management.
- Manage financial controllership, lead reviews of financial metrics, analyze variances, synthesize key business drivers, and communicate them to senior management in business terms and influence them through presenting actionable drivers.

Basic qualifications

- 5+ years of finance, accounting, or related analytical field experience
- Bachelor's degree in business, finance, accounting, tax, economics, or a related analytical field
- 5+ years of applying key financial performance indicators (KPIs) to analyses experience
- 5+ years of building financial and operational reports/data sets that inform business decision-making experience
- 5+ years of creating process improvements with automation and analysis experience
- 5+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience

Preferred qualifications

- 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
- Knowledge of SQL/ETL
- 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 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

How we rate this

Finance Manager, AWS EC2 GenAI Finance at Amazon rates 37 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.