Finance Lead, FP&A Commercial/FP&A Intelligence Finance – Capability & Technology
On-siteAmsterdam, North Holland, The Netherlands
Job Summary
Architect and own the FP&A Intelligence capability end-to-end, building AI-powered analytics and automation for budgeting, forecasting, long-range planning, and variance analysis. Maintain AI agents tailored to FP&A workflows to automate forecast pack generation, commentary, and consolidation, while owning SAP/S4 and Snowflake data pipelines ensuring integrity at every layer. Build self-serve intelligence tools for BU finance business partners and partner with Commercial Intelligence Leads to connect volume, revenue, and cost signals into planning outputs. Translate complex FP&A questions into scalable, repeatable solutions using Python, SQL, and Power BI.
Required Qualifications
- 5–8 years of experience in FP&A, finance analytics, or data engineering
- meaningful depth in financial planning, budgeting, forecasting, and variance analysis in a large organization
- hands-on experience with Snowflake or an equivalent cloud data platform
- Python, SQL, and Power BI
- designed or deployed AI agents, copilots, or LLM-powered tools in a finance or enterprise context
- deeply familiar with SAP/S4 FP&A data structures — P&L hierarchies, cost centers, profit centers, plan versions — and how they feed into financial reporting and planning systems
- understand FP&A mechanics deeply — budget cycles, rolling forecasts, LRP, variance drivers, and how BU CFOs actually use financial information to make decisions
- comfortable owning a roadmap in a matrixed, fast-moving environment without complete requirements handed to me
- Bachelor's degree in Finance, Accounting, Engineering, or a related field
Desired Qualifications
- Snowflake Cortex or LLM API experience
- an advanced degree or CFA
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