Finance Manager, USNS AI Transformation Finance

Achievements

Drive the deployment of AI solutions that automate repetitive finance workflows, reorient capacity toward 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 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

Prior Experience

• Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos)
• Experience working with financial systems (examples: Oracle, SAP, Lawson, JD Edwards)
• Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage
• Experience working with Quick, Orcha, Mentor, REI