What are the responsibilities and job description for the AI Governance Risk & Compliance Analyst position at LinQ Global Group.?
Overview
We are seeking an experienced AI Risk & Compliance Analyst to support the governance, risk assessment, and compliance review of AI initiatives across the organization. This is a hands-on role focused on AI governance, responsible AI practices, regulatory compliance, and risk management. The ideal candidate will help improve AI intake and review processes, assess AI-related risks, maintain governance documentation, and collaborate with cross-functional teams to ensure AI activities align with legal, privacy, security, and regulatory requirements.
Key Responsibilities
- Manage and enhance AI use case intake, triage, risk classification, approvals, and tracking processes.
- Perform risk and compliance assessments for AI and Generative AI use cases.
- Evaluate AI tools, platforms, vendors, and processes for privacy, security, regulatory, intellectual property, bias, transparency, and operational risks.
- Maintain AI governance inventories, including use cases, vendors, risk ratings, approvals, and control requirements.
- Translate regulatory and governance requirements into practical risk assessment criteria and control frameworks.
- Partner with Legal, Privacy, Security, Procurement, Technology, and business teams on reviews, approvals, remediation plans, and ongoing monitoring.
- Support third-party AI risk assessments and vendor governance reviews.
- Develop and maintain AI governance artifacts, workflows, documentation, reporting, and metrics.
- Track and report on AI governance activities, risk trends, remediation efforts, and compliance status.
Required Qualifications
- 5 years of experience in Governance, Risk & Compliance (GRC), Information Security, Privacy, Technology Risk, Audit, Third-Party Risk, Model Risk, or related fields.
- 2 years of hands-on experience in AI Governance, Responsible AI, AI Risk Management, AI Compliance, Machine Learning Governance, or Emerging Technology Risk.
- Experience reviewing Generative AI, Machine Learning, SaaS-based AI solutions, automated workflows, and analytics platforms.
- Strong understanding of AI-related risks including:
- Data leakage and confidential data exposure
- Privacy and regulatory compliance
- Intellectual property concerns
- Hallucination and accuracy risks
- Bias and fairness considerations
- Automated decision-making and transparency
- Vendor and third-party AI risks
- Human oversight and governance controls
Preferred Qualifications
- Experience establishing or improving AI governance and review frameworks.
- Experience managing AI use case, model, or automated decisioning inventories.
- Experience working in large, matrixed enterprise environments.
- Familiarity with GRC and workflow tools such as Jira, SharePoint, OneTrust, Archer, MetricStream, or similar platforms.
- Experience creating governance dashboards, executive reporting, KPIs, and operational metrics.
- Relevant certifications preferred: AIGP, CISA, CRISC, CISM, CISSP, CDPSE, ISO 27001, ISO 42001, or equivalent.