FP&A AI Architect

What you'll do

• Set the architecture and roadmap for AI-enabled planning, forecasting, and reporting; build ML-assisted forecasts and agentic analysis workflows.
• Establish governed finance data foundations and controls, including evaluations, human review, lineage, and audit trails.
• Select tools, mentor analysts and engineers, drive Finance AI adoption, and measure business impact.

What they ask for

• 10+ years in FP&A, corporate finance, finance systems, data science, or finance engineering, including 3+ years designing or leading AI/ML or advanced automation for finance.
• Strong FP&A fundamentals, including driver-based modeling, operating plans, rolling forecasts, SaaS or fintech metrics, and variance analysis.
• Hands-on LLM and agentic systems experience, classical forecasting experience, and proficiency in SQL, Python, a modern data stack, and BI tools.
• Experience with enterprise planning platforms and ERP/GL systems, and shipping production-grade solutions under SOX, data governance, and security review.

Nice to have

• Payroll, HR tech, fintech, or SaaS finance experience; experience building internal tools with Engineering.
• Familiarity with MCP-style integrations and AI governance frameworks; CPA, CFA, or an advanced quantitative degree.

Pay

$185,000-$205,000 USD /yr base salary (Denver & most remote locations); $225,000-$250,000 USD /yr base salary (San Francisco, Seattle & New York)

Tools

LLMs, SQL, Python, Snowflake, Databricks, dbt, Anaplan, NetSuite

AI focus

Expert/Transformer-level AI work: set Finance AI standards and architect AI-enabled forecasting, agentic workflows, integrations, evaluations, and governance.