Finance Systems & AI Engineer

Ironclad is hiring a Senior Finance Systems & AI Engineer to own the data infrastructure, system integrations, and AI automation that power our Finance teams.This role sits within the Finance organization and reports directly to the VP of FP&A with a dotted line to the Controller.

- Design and maintain reliable, low-manual-touch integrations across the Finance stack using iPaaS platforms or equivalent

- Partner with Data Engineering on BigQuery pipelines that serve as the analytics layer for Finance

- Own the Finance systems roadmap end-to-end, from strategic design to implementation

- Define and enforce data governance standards: field definitions, hierarchy taxonomy, department and cost-center mapping, and change-control SLAs

- Own FP&A planning platform end-to-end: model architecture, formula logic, dimension hierarchies, integration design, long-range planning (LRP), rolling forecasts, full-year budgeting, and headcount planning

- Configure EPM so each FP&A analyst owns their planning area independently with minimal admin bottleneck

- Partner with the Controller to identify and automate the highest-cost manual steps in the monthly close: reconciliations, journal entry support, accrual calculations, and intercompany matching

- Build automated pipelines that produce a reliable, fully-loaded P&L forecast each month

- Identify high-ROI automation opportunities across the FP&A and close cycle like variance analysis, anomaly detection, reconciliation; build agents and pipelines to eliminate them

- Design human-in-the-loop controls and auditability frameworks so automated outputs are trustworthy and SOX-compliant

- Build using the right tools for the job: Python for prototyping and scripting automation logic, BigQuery + dbt for data transformation

- 5+ years in Finance and 3+ Years in Finance Systems, Business Applications, or FP&A Engineering at a high-growth technology company, with demonstrated ownership of outcomes rather than tickets

- AI-first mindset and hands-on experience: you've built or deployed AI/LLM-powered automation in a Finance or operations context

- Proficiency in Python (or equivalent) for scripting, prototyping automation logic, and quality-checking AI-generated outputs

- Deep hands-on experience with at least one modern EPM platform including data model design, formula logic, and integration configuration

- Working knowledge of NetSuite (or equivalent ERP) including chart of accounts, dimensions, reporting structures, and API/integration patterns