Fin Mgr, Agentic SME, WW Ops FP&A

Fin Mgr, Agentic Knowledge Base SME, WW Ops FP&A

Job :  |  Services LLC

The WW IPAT FP&A team is driving a strategic shift from traditional bottom‑up planning to a highly automated, AI‑driven methodology for forecasting Amazon's Worldwide Operations costs. Through Trend Cast, our centralized top‑down forecasting model, we are not only automating the quantitative forecast but also pioneering the use of Agentic AI workflows to automate financial narratives and actionable business insights.

We are seeking a forward‑thinking Finance Manager to lead the integration of AI into our financial reporting cycle. In this role, you will move beyond traditional data gathering and manual write‑ups. Instead, you will partner closely with Data Scientists to build and maintain a robust AI Knowledge Base that contextualizes our complex data points. You will design agentic workflows that autonomously generate narratives for key financial documents.

Your primary value will be acting as the strategic "human‑in‑the‑loop", reviewing AI‑generated commentary, applying profound business judgment, and curating the most critical narratives to present to senior leadership. Long‑term success in this position requires a strategic mindset capable of navigating ambiguity. You must seamlessly fuse deep financial acumen with emerging GenAI capabilities, continuously evolving our AI Knowledge Base while applying high‑judgement business insights to fundamentally redefine how FP&A delivers value at scale.

• Partner closely with Data Scientists to build, maintain, and continuously evolve a robust AI Knowledge Base, translating complex WW Operations financial data points into structured context for GenAI models.
• Design, implement, and manage agentic AI workflows to autonomously generate highly accurate financial narratives, variance analyses, and actionable insights for Trend Cast and other key financial documents.
• Serve as the strategic final gatekeeper for automated reporting. Rigorously review AI‑generated commentary, apply profound business judgment, and curate the most critical narratives for VPs and senior leadership.
• Conduct in‑depth financial analyses to validate AI outputs and driver‑based forecasts, ensuring continuous model calibration, explainability, and absolute financial precision.
• Seamlessly fuse deep corporate finance acumen with emerging GenAI capabilities, redefining traditional FP&A processes to deliver automated, scalable value across the organization.
• Collaborate effectively with tech experts, Data Scientists, and Business Intelligence Engineers (BIEs) to embed these advanced forecasting tools into existing financial pipelines and reporting rhythms.

• 5+ years of tax, finance or a related analytical field experience
• 5+ years of multiple finance and accounting roles experience
• 6+ years of Accounts Receivable or Accounts Payable experience
• 6+ years of applying key financial performance indicators (KPIs) to analyses experience
• 6+ years of building financial and operational reports/data sets that inform business decision‑making experience
• 6+ years of creating process improvements with automation and analysis experience
• 6+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience
• Bachelor's degree in engineering, statistics or business, or Bachelor's degree and 5+ years of quantitative role (engineering, process re‑engineering, quality assurance) experience

• 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 (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 (SQL, MS Access, Essbase, Cognos) and other financial systems (Oracle, SAP, Lawson, JD Edwards)
• Experience delivering forecasting, budgeting, and variance…