Compliance Risk Analyst

What You’ll Do

• Assessments
• Analyzing the AI use cases and taking them through their lifecycle such as Intake, Review, Assessment, Socialization and Closure.
• Maintain inventories of AI systems, models, datasets, and third-party AI tools, including risk tiers and approval statuses.
• Risk & Compliance
• Highlight risks associated with the use case and make the business owners aware of the risks and help those business owners respond to those risks.
• Lead AI risk assessments: assess purpose, model risk, bias, transparency, accuracy, human oversight, etc.
• Operations & Enablement
• Run the AI intake process (triage, scoping, routing) in collaboration with Legal, Privacy, Cybersecurity, IT and Business stakeholders.
• Develop governance templates and artifacts (risk profiles, decision logs, RACI, playbooks, assessment checklists, etc).
• Monitoring & Reporting
• Produce dashboards and executive reports for leadership, audit, and regulatory inquiries.
• Facilitate periodic reviews of AI systems; coordinate post-deployment monitoring and incident response workflows.
• Stakeholder Collaboration
• Partner with IT, Legal, Privacy, Cybersecurity, and AI Governance Committee to align governance requirements with delivery milestones and identify regulatory considerations the AI use cases pose to the organization.
• Support the organization’s AI literacy program through risk identification and providing business owners guidance on responsible AI practices, policy updates, and process changes.

Core Competencies

• Risk Mindset: Ensures strong governance without hindering innovation; foresees downstream risks and raising it to the business teams.
• Analytical Thinking: Structures complex problems, synthesizes evidence, and recommends actionable controls.
• Stakeholder Influence: Facilitates alignment across Legal, Privacy, Cybersecurity, IT and AI Governance Committee.
• Communication: Produces clear, audit ready documents and concise executive updates.
• Process Ownership: Drives intake, assessment, and monitoring workflows end-to-end with strong follow-through.

Required Qualifications

• 5 - 8 years of governance or risk management type experience
• 1 - 2 years of AI experience
• Experience operationalizing governance processes (intake, control testing, evidence collection, reporting, and control/risk assessments)
• Experience working with Microsoft Office Suite
• Working knowledge of AI/ML (machine learning) concepts (data pipelines, model lifecycle, performance monitoring, bias, explainability)
• Strong analytical, documentation, and stakeholder communication skills
• Bachelor’s degree in a relevant field (e.g., Data/Computer Science, Information Systems, Risk/Compliance) OR equivalent experience