Gen AI Finance Manager — P&L & Strategy Lead

Amazon Web Services (AWS); Seattle (WA); On-site; USD 95,000 - 163,000; Full time

Benefits offered by this job

Health insurance

RSUs

Paid time off

Parental leave

401(k) matching

Job summary

Amazon.com Services LLC in Seattle is seeking a Finance Manager to support the Gen AI finance team with full P&L responsibility and strategic business partnering. You will interact with finance leadership, product managers, engineers, and sales to drive analytics, forecasts, and controllership in a fast-paced cloud environment.

The role requires strong financial modeling, problem solving, attention to detail, and the ability to influence executives through data-driven insights.

Qualifications

• 5+ years of tax, finance or a related analytical field experience.
• 5+ years dissecting financial data and identifying patterns to support strategy.
• 5+ years leading cross-functional initiatives driving financial performance.
• Experience with forecasting, budgeting and variance analysis is a plus.

Responsibilities

• Build and enhance P&L models, develop insights and dashboards.
• Support new initiatives, understand cost models and pricing decisions.
• Provide revenue analytics and communicate with senior leaders.
• Lead financial planning and build complex models and forecasts.
• Manage controllership, review metrics, and present drivers to management.

Skills

Finance experience

Financial analysis

Cross-functional leadership

Education

Bachelor's degree in finance or related field

MBA or CPA

Tools

SQL

MS Access

Essbase

Cognos

Job description

Amazon.com Services LLC in Seattle is seeking a Finance Manager to support the Gen AI finance team with full P&L responsibility and strategic business partnering. You will interact with finance leadership, product managers, engineers, and sales to drive analytics, forecasts, and controllership in a fast-paced cloud environment.

The role requires strong financial modeling, problem solving, attention to detail, and the ability to influence executives through data-driven insights.