Position Summary

Serves as the technical gatekeeper for AI tools built by non-developers and aids in the builds and deployment of AI solutions across the enterprise, specifically the CFO organization. Ensures that when a business user builds something with AI, it's safe, accurate, and operates within the established governance guidelines.

Key Responsibilities

Review AI solutions built by non-developers against best-practice engineering standards and the team's governance framework before they go into production.

Champion reusable architecture patterns and templates so solutions can be redeployed across all BUs rather than rebuilt each time.

Assess citizen-developer builds for data lineage, model accuracy thresholds, human-in-the-loop safeguards, and audit trail compliance, then flag and lead to remediate gaps.

Aid to implement automated output validation, drift detection, and exception escalation for solutions post-launch.

Track token/API usage and cost at the solution and BU level; support monthly usage reporting to CFO leadership.

Design, build, and deploy AI/LLM-integrated solutions for FP&A, accounting, audit, and reporting workflows; maintain all code in Git with version control and peer review.

Partner with the FP&A AI Sr. Analyst on requirements, the AI Governance lead on control design, and enterprise IT/architecture on alignment.

Qualifications

Required Skills: Technical

Python (or equivalent) for automation and data pipeline work.

Cloud platform experience (Azure/AWS preferred).

Hands-on experience integrating LLM APIs (OpenAI, Anthropic, Azure OpenAI).

Git-based version control, structured code review, and change management practices.

SQL and ETL/data pipeline experience.

Working familiarity with low-code/RPA platforms (Power Platform, UiPath, Copilot Studio), with enough depth to competently review, not necessarily build in them.

Understanding of AI governance concepts: model validation, drift detection, data lineage, audit trails.

Required Skills: Domain & Communication

Able to explain technical risk in plain language to non-technical finance staff whose builds are under review.

Working knowledge of finance processes sufficient to judge business context and materiality of a given AI build.

Comfortable working across business units with varying technical maturity.

Nice to Have

Finance/accounting background or FP&A exposure.

Experience standing up a citizen-developer governance program or AI Center of Excellence.

SOX/internal controls familiarity.

Work Conditions: The physical demands and work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

This job description should not be interpreted as all-inclusive; it is intended to identify major responsibilities and requirements of the job. The employee in this position may be requested to perform other job-related tasks and responsibilities than those stated above.