Robert Half is seeking an experienced AI Risk & Compliance Analyst to support the intake, assessment, documentation, and ongoing governance of AI use cases across the enterprise.
This is a hands-on role for a practitioner with direct experience in AI governance, AI risk assessment, responsible AI controls, and regulatory alignment. The ideal candidate brings experience from a legal, compliance, or regulated corporate environment and is comfortable partnering with legal stakeholders to evaluate AI use cases for regulatory, contractual, privacy, and reputational risk. Experience supporting AI governance within legal departments, law firms, or legal operations teams is strongly preferred.
Location: Midtown, New York
Schedule: Hybrid – 3 days onsite, 2 days remote
Duration: 6-month contract with potential for full-time conversion
Pay: $65-80/hour
Key Responsibilities
- Manage and enhance the AI use case intake process, including:
- Triage, risk categorization, stakeholder routing, approval tracking, and follow-ups
- Conduct AI risk and compliance reviews for new and existing use cases, including:
- Data usage, privacy, security, third-party risk, regulatory exposure, and business impact
- Evaluate AI-enabled tools, platforms, and vendors for risks related to:
- Confidential/sensitive data, automated decision-making, transparency, human oversight, IP, bias, and accuracy
- Maintain and improve the AI use case inventory, including:
- Ownership, vendors, data types, risk ratings, approvals, required controls, and review cadence
- Translate regulatory and compliance requirements into:
- Intake questions, risk criteria, control requirements, and formal decision documentation
- Partner cross-functionally with:
- Legal, Privacy, Security, Procurement, Technology, and business stakeholders
- Support third-party AI risk reviews, including vendor due diligence and governance considerations
- Develop and refine AI governance artifacts:
- Intake forms, risk frameworks, review checklists, templates, and process documentation
- Track and report on AI governance metrics:
- Intake volume, review cycle time, risk trends, remediation status, and compliance alignment
Required Qualifications
- 5+ years of experience in one or more of the following:
- Governance, Risk & Compliance (GRC), Privacy, Information Security, Technology Risk, Third-Party Risk, Model Risk, or Audit
- 2+ years of hands-on experience in:
- AI governance, Responsible AI, AI risk assessment, AI compliance, or model risk management
- Strong understanding of:
- AI/ML risks, data governance, privacy regulations, and emerging AI regulatory frameworks
- Experience conducting risk assessments and documenting controls in a structured environment
- Ability to work cross-functionally and influence stakeholders in a decentralized organization
- Excellent communication, documentation, and organizational skills
Preferred Qualifications
- Familiarity with AI governance frameworks (e.g., NIST AI RMF, OECD, EU AI Act concepts)
- Experience with third-party/vendor risk management related to AI solutions
- Background supporting regulatory or audit reviews
- Experience building or improving governance processes, workflows, or tooling
- Exposure to media, publishing, or large enterprise environments is a plus