Reporting to the CFO, you'll own the AI, machine learning, and automation agenda across the full finance function - close, FP&A, accounting, treasury, and procurement. You'll find the real ROI, prove it with pilots, scale what works, and make finance genuinely fluent in these tools - setting the standards everyone follows alongside IT, Security, Internal Audit, and Legal.
What you'll do- Set and execute the finance AI/automation roadmap, with hard numbers on impact
- Build the data backbone - pipelines, models, dashboards, and self-service analytics
- Apply predictive ML to forecasting, scenario modeling, and anomaly detection
- Set the guardrails: governance, controls, and vendor risk that keep it SOX-ready
What you bring- A track record of taking transformation from concept to measurable, live impact
- Hands-on fluency in AI/ML and modern data architecture, plus real finance understanding
- The judgment to balance innovation against risk - and credibility to own responsible use
- Bachelor's degree required (degrees in Finance, Accounting, Business Analytics, Data Science, or Computer Science are highly preferred). Master's degree or MBA with a heavy analytical focus is a plus.
- Requires 6 to 10+ years of progressive experience in corporate finance, financial systems, or digital finance transformation consulting.
- AI & Automation Expertise: Demonstrated track record of evaluating, piloting, or deploying machine learning, predictive modeling, generative AI, or intelligent automation solutions within a corporate finance or enterprise adjacent function.
- Finance Core Literacy: Deep understanding of core finance and accounting processes, data structures, and workflows-specifically the financial close cycle, general ledger architecture, FP&A, working capital management, and corporate reporting.
- System Capabilities: Extensive hands-on experience navigating enterprise ERP software and modern cloud-based corporate financial planning platforms.
- Data Mastery: High proficiency with data analytics tooling and cloud data environments. Proven capability to extract, combine, and model data from multiple disparate sources to drive corporate-level strategic analysis.
- Risk & Controls Fluency: Strong working knowledge of responsible-AI deployment, data privacy frameworks, model bias mitigation, data governance principles, and internal control structures (including SOX considerations).
- Execution & Drive: Proven ability to manage multiple complex, highly technical projects simultaneously under tight deadlines while directing cross-functional stakeholder groups.
Ready to build the finance function of the next decade? Apply now!
