# Operations & Compliance Audit Leader

**Company:** [OpenAI](https://hotfix.jobs/companies/openai)
**Location:** San Francisco, CA
**Role:** Other
**Salary:** $266k – $295k/yr
**Experience:** 10+ years
**Skills:** Internal Audit, Financial Reporting, Regulatory Compliance, Risk Management, Data Analytics, AI, Automation, Governance, Third-Party Risk, Operational Resilience
**Posted:** 2026-07-29

> Lead risk-based audits and advisory reviews across finance, operations, and compliance at OpenAI. Build next-generation audit capabilities using AI, data analytics, and automation while advising leadership on governance and risk management in a fast-evolving AI company. Requires 10+ years experience and strong business judgment.

## Job Description

## Responsibilities
- Lead risk-based audits and advisory reviews across finance, operations, compliance, and other significant enterprise risks.
- Drive governance and oversight of critical business programs, including financial management, regulatory compliance, third-party risk, operational resilience, and enterprise-wide initiatives.
- Evaluate financial and operational processes and controls across areas such as financial reporting, accounting, treasury, tax, revenue, procurement, payroll, expense management, and financial planning, with a focus on material risks affecting execution, scalability, efficiency, and resilience.
- Assess compliance programs and emerging business risks, including those arising from new products, markets, partnerships, organizational changes, and the use of AI in financial, operational, and compliance processes.
- Translate complex technical findings into clear business implications and practical recommendations that enable innovation while supporting effective risk management.
- Build advanced audit capabilities using data analytics, automation, and AI to improve risk assessment, audit scoping, testing, continuous monitoring, and reporting, including identifying anomalies, control weaknesses, and emerging risks.
- Build trusted relationships across the organization and support clear, effective reporting to executive management, regulators, and the Board.
- Monitor developments in regulation, enforcement activity, business practices, and industry risk to keep the audit approach current and forward-looking.
- Coach colleagues, share technical expertise, and contribute to a culture of high standards, sound judgment, curiosity, ownership, and continuous learning.

## Requirements
- 10–12+ years of relevant experience in internal audit, finance, accounting, compliance, operational risk, enterprise risk, or a related field.
- Strong expertise across multiple areas, such as financial reporting, accounting, treasury, revenue, procurement, regulatory compliance, third-party risk, operational resilience, or enterprise governance, including experience leading complex audits from risk assessment through reporting and issue validation.
- A strong understanding of data and AI risks—including data quality, lineage, governance, access, and analytics—along with experience using automation or AI-assisted techniques in audit, finance, compliance, risk management, or control testing.
- The ability to understand end-to-end business processes, ask incisive questions, evaluate incomplete information, and reach well-supported conclusions with sound judgment.
- The confidence to challenge constructively and a business-enabling mindset that balances innovation, speed, operational impact, compliance obligations, and risk.
- Strong communication and relationship-building skills, including the ability to explain complex issues clearly to executives and collaborate effectively across finance, legal, compliance, operations, product, and senior management.
- The initiative, curiosity, and adaptability to help build a new capability in a fast-paced, evolving environment.
- A relevant bachelor’s degree or equivalent practical experience.
- Certifications such as CPA, CIA, CISA, CFE, CAMS, or CRMA are valued but not required.

## Nice-to-Haves
- Experience building advanced audit capabilities using data analytics, automation, and AI.
- Strong expertise in data and AI risks.

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