Own AI compliance strategy: EU AI Act, GDPR, US state laws; lead conformity assessments and ISO readiness. Implement AI risk management: risk assessments, AI guardrails, lifecycle gates, bias/fairness audits, incident response. Maintain AI governance policies and standards; operationalize controls across enterprise and product lines. Oversee vendor AI risk assessments and third-party governance. Develop and maintain tooling for use case intake, automated monitoring, compliance checks, and observability. Liaison with legal to develop policies and procedures. Conduct model risk and validation activities, including independent testing, documentation, performance guardrails, and other forms of ongoing monitoring. Enable organizational adoption through training and clear decision workflows. Drive consensus and implementation of AI risk management and governance activities across enterprise departments. Qualifications 10 years in compliance, cybersecurity, data governance, risk, or AI governance in regulated industries (financial services, healthcare, insurance, energy, or public sector). Expertise in regulatory frameworks (EU AI Act, GDPR) and standards (ISO/ IEC 42001/5338, NIST AI RMF, trust-by-design/privacy-by-design principles). Experience building assurance artifacts (model cards, data sheets, validation reports, control evidence packs). Professional certifications (optional): Certified Information Systems Security Professional (CISSP), Certified Information Privacy Professional (CIPP), Certified Risk and Information Systems Control (CRISC), as well as technical systems (e.g., Amazon Web Services, Microsoft Azure, Google Cloud Platform). Proven experience operationalizing governance at scale. Strong stakeholder management and executive communication skills. Why Join ADI - Help shape the future of AI governance and productize trust as a strategic differentiator for ADI.