Sr. AI Risk & Compliance Analyst

Hybrid in New York or Charlotte Optomi, in partnership with a leading provider in the Media industry is seeking a Sr. AI Risk & Compliance Analyst to join their team! You will be responsible for supporting the intake, assessment, documentation, and ongoing governance of AI use cases across the organization. This role is intended for a hands-on practitioner who has direct experience with AI governance, AI risk assessment, responsible AI controls, regulatory alignment, and cross-functional review processes. What You’ll Do:

• Operate and improve the AI use case intake process, including triage, risk categorization, stakeholder routing, approval tracking, and follow-up.
• Conduct AI risk and compliance reviews for proposed and existing AI use cases, including evaluation of data use, privacy, security, third-party risk, regulatory exposure, business impact, and control requirements.
• Review AI-enabled tools, platforms, vendors, and processes for risks related to confidential data, sensitive data, automated decision-making, transparency, human oversight, intellectual property, bias, accuracy, and regulatory obligations.
• Maintain and improve the AI use case inventory, including owners, vendors, data types, risk ratings, approval status, required controls, exceptions, and review cadence.
• Translate AI regulatory, privacy, security, and compliance expectations into practical intake questions, risk assessment criteria, control requirements, and decision records.
• Support alignment with AI governance standards and regulatory expectations and sector specific guidance.
• Partner with Legal, Privacy, Security, Procurement, Technology, and business teams to document approvals, mitigations, exceptions, remediation actions, and ongoing monitoring requirements.
• Support third-party AI risk reviews, including evaluation of vendor AI capabilities, data processing practices, contractual considerations, and governance commitments.
• Develop or improve AI governance artifacts, including intake forms, review checklists, risk rating criteria, process documentation, decision templates, and reporting metrics.
• Support reporting on AI governance activity, including intake volume, review cycle time, risk themes, open issues, remediation status, exceptions, and regulatory alignment.

Required Experience:

• 5+ years of experience in governance, risk, compliance, privacy, information security, technology risk, third-party risk, model risk, audit, or a related field.
• 2+ years of direct, hands-on experience with AI governance, responsible AI, AI risk assessment, AI compliance, model risk management, machine learning governance, or emerging technology risk.
• Experience reviewing AI use cases involving generative AI tools, SaaS platforms, machine learning models, automated workflows, analytics, or vendor-provided AI capabilities.
• Experience evaluating AI risks such as data leakage, confidential data exposure, privacy impact, intellectual property concerns, hallucination or accuracy risk, bias, automated decision-making, transparency, vendor dependency, and human oversight.
• Working knowledge of AI governance frameworks, standards, or regulatory guidance such as NIST AI RMF, ISO/IEC 42001, EU AI Act concepts, OECD AI principles, privacy regulations, or sector-specific AI guidance.
• Strong understanding of GRC fundamentals, including risk assessment, control evaluation, issue tracking, remediation management, policy exceptions, audit-ready documentation, and stakeholder approvals.
• Familiarity with security and compliance frameworks such as NIST CSF, NIST 800-53, ISO 27001, COBIT, SOC 2, PCI, HIPAA, or SOX.
• Experience creating or improving intake forms, risk assessment templates, control mappings, decision records, process documentation, or governance workflows.
• Ability to work independently, manage multiple concurrent reviews, and produce high quality documentation with limited supervision.
• Strong written and verbal communication skills, including the ability to explain AI risk and compliance concepts to non-specialist stakeholders.

Preferred Experience:

• Experience standing up or improving an AI governance intake and review process.
• Experience maintaining an AI system, AI use case, model, or automated decisioning inventory.
• Experience supporting AI governance in a federated, matrixed, or multi-business enterprise.
• Experience with third-party AI risk management, GRC platforms, workflow tools, risk registers, Jira, SharePoint, OneTrust, MetricStream, Archer, or similar tools.
• Experience developing AI governance metrics, dashboards, executive reporting, or operational KPIs.
• Relevant certifications such as AIGP, CISA, CRISC, CISM, CISSP, CDPSE, ISO 27001, ISO 42001, or similar credentials.