Sr Manager Internal Audit

Audit AI and Emerging Risk Across the Business

Audit the full internal AI adoption lifecycle — from employee use of AI tools, to AI embedded in our SaaS products, to agentic AI deployments, to the use of proprietary data in custom or fine-tuned models.

Assess risks in our AI-accelerated engineering environment, including open-source code adoption, AI-assisted development, and the shift toward AI-driven QA.

Monitor regulatory developments tied to AI in financial services (payments, screening, insurance) and ensure IA’s audit plan evolves alongside the compliance landscape.

Partner with Enterprise Risk Management, Compliance, Risk & Fraud, Legal, and Security to assess program maturity and develop appropriate third-line coverage.

Transform How Internal Audit Operates

Lead the integration of AI tools into our audit processes — building standardized, repeatable approaches to AI-assisted planning, fieldwork, and reporting across all engagements.

Drive maturity improvements across the Gartner audit maturity framework by identifying where AI can accelerate our capabilities and developing the roadmap to get there.

Build toward continuous and near-real-time auditing: develop data analytics and AI-driven monitoring to identify emerging risk proactively rather than reactively.

Lead end-to-end audits (planning, fieldwork, reporting) across product, engineering, operations, and compliance domains — including payments processing, vendor integrations, tenant screening, and partner programs.

Prepare and present audit findings and insights to senior leadership and contribute to the Internal Audit function’s long-term strategic roadmap.