Sr. Manager, AI Audit & Automation
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About the Role
About Us
The Role
This role engineers the AI-enabled future of Internal Audit. The Sr. Manager, AI Audit & Automation designs, builds, and deploys production-grade AI and automation solutions that transform how audit work is planned, executed, and evidenced. The role combines hands-on AI engineering with deep integration into audit workflows, governance standards, and regulatory requirements.
This is a building role. This role is measured by what is created, what is adopted, and what is auditable not by hours logged or meetings attended. The successful candidate builds working systems, trains audit teams on the tools being built, and continuously improves the production environment based on real engagement feedback. Results are measured in deployed tools, adopted workflows, and documented audit efficiency gains.
The position reports to the Director, Technology Assurance, and partners closely with IT, Information Security, and the CAE to deliver audit-specific AI capabilities at enterprise scale.
What You'll Do
- Partner with audit teams to define high-impact AI use cases, translating audit objectives into scalable technical solutions owing design and deployment end to end.
- Lead the build and rollout of AI-powered applications and automation frameworks across audit workflows, ensuring alignment with enterprise AI governance and applicable regulatory requirements.
- Own end-to-end technical delivery of the SOX ITGC Self-Assess Agents and similar AI workflows from prototype through development, UAT, and production environments in partnership with IT.
- Manage Claude API and enterprise LLM integrations — prompt engineering, structured output design, error handling, and performance optimization.
- Build and maintain data pipelines connecting audit systems to AI workflows, including Active Directory, access management platforms, ERP data, and audit management tools.
- Design and execute full population audit testing using Alteryx, Python, or SQL — replacing sample-based testing where data access permits.
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