FP&A AI Architect

Join Gusto's Finance team as the Staff FP&A AI Architect. In this new role, you will design and lead the technical and process architecture that transforms FP&A into an automated, insight-generating function. You will work closely with the CFO org, FP&A, Accounting, Data, and Engineering. Your responsibilities will include defining the multi-year architecture and roadmap for AI-enabled planning, forecasting, and reporting, building forecasting systems, automating analysis, owning the finance data foundation, embedding controls and trust, evaluating and selecting tools, leading through influence, and measuring impact.

• Define the multi-year architecture and roadmap for AI-enabled planning, forecasting, and reporting, prioritizing use cases by value, feasibility, and risk.
• Architect driver-based, ML-assisted forecasts for revenue, headcount, opex, and cash, combining statistical models with LLM workflows and benchmarking against human forecasts.
• Establish evals, human-in-the-loop checkpoints, lineage, and audit trails that meet SOX, security, and privacy requirements.

• Track record shipping production-grade solutions under SOX, data governance, and security review
• Proficiency in SQL and Python, a modern data stack (e.g., Snowflake, Databricks, dbt), and BI tools
• Exceptional communication: able to explain model behavior to a CFO and system design to an engineer
• Hands-on experience with LLMs and agentic systems (prompting, RAG, tool use, evals) and classical forecasting (time series, regression, ensembles)
• Experience with enterprise planning platforms and ERP/GL systems
• Strong FP&A fundamentals: driver-based modeling, operating plans, rolling forecasts, SaaS or fintech metrics, variance analysis
• 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
• Finance-fluent builder, systems thinker, rigorous about trust (evals, lineage, and human-in-the-loop as design requirements), pragmatic on build vs. buy, influencer and teacher, and outcome-driven
• Expert/Transformer level, expected to set AI standards for Finance. Advanced in LLM platforms (Anthropic, OpenAI, Gemini), agent frameworks and MCP, and Python/SQL; proficient in Snowflake/Databricks/dbt, planning platforms (Anaplan, Adaptive, Pigment), ERP/GL (NetSuite), and BI tools
• Familiarity with MCP-style integrations and AI governance frameworks
• CPA, CFA, or an advanced quantitative degree
• Payroll, HR tech, fintech, or SaaS finance experience
• Experience building internal tools with Engineering