Finance Manager, USNS AI Transformation Finance

About the role

This role is a Finance Manager within Amazon's North American Customer Fulfillment (NACF) Finance department. The role focuses on driving the deployment of AI solutions that automate repetitive finance workflows, reorient capacity towards strategic analysis, and position NACF Finance as an AI-native organization.

Responsibilities

• Own the strategy and delivery of agentic AI solutions targeting the reorientation of tens of thousands of hours annually from repetitive tasks toward strategic finance work
• Lead development of AI assistants for core finance workflows
• Define minimum lovable product (MLP) scope, accuracy thresholds, and launch gates for each AI solution, ensuring human-in-the-loop validation before stakeholder deployment
• Partner with Standardization & Automation (S&A) to transition validated prototypes into production-grade systems; own business requirements and user acceptance criteria
• Manage the AI incubation pipeline from ideation through orchestration, evaluating technical feasibility, business impact, and scalability of proposed solutions
• Own signature projects on the NACF Finance AI roadmap in partnership with S&A, ensuring alignment with WW Stores GenAI strategy and WWASF AI Transformation Tenets
• Govern AI deployment through defined quality gates: automatability assessment, data readiness validation, and trust infrastructure requirements
• Partner cross-functionally with Operations, Production Planning, Supply Chain, and Finance leadership to identify high-ROI automation opportunities and build stakeholder trust
• Maintain technology strategy alignment with Amazon-native tools (Quick, Orcha, Mentor, REI) while preserving flexibility to adapt as the AI landscape evolves

Qualifications

• 5+ years of tax, finance or a related analytical field experience
• 6+ years of creating process improvements with automation and analysis experience
• 5+ years of leading cross-functional initiatives that drive financial performance and strategy experience
• Knowledge of SQL/ETL
• Bachelor's degree

Preferred Qualifications

• 6+ years of identifying incomplete or inaccurate data, identifying the root cause and creating/implementing an escalation plan experience
• 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)
• MBA, or CPA
• Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage