Finance Manager, Stores Tech Finance FP&A

Key job responsibilities

• Own the FP&A heartbeat: Lead end-to-end financial planning, close, and reporting for Stores Tech Finance—monthly close, quarterly Guidance, annual planning cycles—supporting SVP of eCF, Shopping, and SEAS.
• Drive planning cycles: Project-manage cross-group forecasting mechanisms and consolidate financial narratives across eCF, Shopping, and SEAS; deliver executive-ready variance analysis and forward-looking insights to Worldwide Amazon Stores leadership
• Build AI-augmented workflows: Identify, pilot, and scale AI/automation solutions for repetitive FP&A tasks—commentary generation, variance analysis, anomaly detection, and executive reporting
• Elevate strategic partnership: Move beyond reporting to influence decisions through proactive insights, financial modeling, and data-driven recommendations at the VP/SVP level
• Design for scale: Partner with BI and technical teams to build self-service dashboards, standardized metrics, and reporting solutions that reduce cycle time without proportional headcount
• Write for executives: Author VP and SVP-level documents (6-pagers, QBR narratives, Flash updates) that tell the business story with clarity and precision
• Lead special projects: Drive process redesign, automation pilots, and AI integration that push FP&A forward

A day in the life

You start your morning reviewing AI-generated variance summaries and refining the executive narrative for the upcoming business review. Mid-morning, you're partnering with a VP to model the financial impact of a headcount reallocation. After lunch, you're working with the BI team to deploy a new dashboard that replaces a three-hour manual process. By end of day, you've shaped how leadership thinks about a $200MM investment.

About the team

Stores Tech Finance (STF) is the financial partner for Amazon's retail technology engine. We support eCommerce Foundation, Shopping, and Stores Economics & Science —the teams building the infrastructure, science, and customer experiences that power Amazon.com.

Our mission: Controllership excellence as the foundation, strategic partnership as the aspiration, AI-augmented efficiency as the method. We are building toward a fundamentally different operating model for FP&A.

Basic Qualifications

• 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)
• Experience building and managing financial models for business forecasting and problem solving
• Experience in building financial and operational reports/data sets that inform business decision-making

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