About the role
Risk Assessment Ownership: Lead the Responsible AI risk assessment process for AI projects within your purview. Use Case Evaluation: Analyze proposed AI solutions for ethical, privacy, and security risks, including identifying sensitive use cases (e.g., facial recognition, biometric analysis, or legally sensitive applications). Escalation Management: Determine when use cases require escalation to internal review boards such as the Deployment Safety Board or other governance entities. Approval Coordination: Ensure all necessary approvals are obtained before development or deal sign-off, maintaining alignment with internal Responsible AI policies. Documentation & Compliance: Maintain thorough documentation of risk assessments, approvals, and mitigation strategies to support audit readiness and compliance. Stakeholder Engagement: Collaborate with product teams, legal, compliance, and engineering to ensure risk considerations are addressed early in the development lifecycle. Policy Integration: Translate Responsible AI policies into actionable assessment criteria and workflows. Continuous Improvement: Contribute to the evolution of risk assessment frameworks and tools based on emerging technologies and regulatory changes. Bachelor's or master's degree in Computer Science, Data Ethics, Law, Risk Management, or a related field. 3+ years of experience in risk assessment, compliance, or governance roles, preferably in AI or emerging technologies. Familiarity with Responsible AI frameworks (e.g., NIST AI RMF, ISO/IEC 42001, EU AI Act). Strong analytical skills and attention to detail. Excellent communication and documentation abilities. Experience working with cross-functional teams in a matrixed organization. Bachelor's Degree in Risk Management, Engineering, Government Intelligence, Security, or Information Technology, or related field AND 5+ years experience in Risk Management in the context of Operations, Engineering, Information Technology, Business Analyst, Consulting, Auditing, Privacy, Security, Compliance, Government Intelligence, and/or Finance OR equivalent experience. Experience with internal governance processes such as AI review boards or safety panels. Knowledge of privacy-preserving technologies and bias mitigation techniques. Background in regulated industries (e.g., healthcare, finance, government). Certifications in AI ethics, compliance, or risk management.