• 7-16 years of experience in AI governance, data governance, risk management, or related domains.

• Proven experience embedding governance into technical platforms or development lifecycles.

• Strong understanding of AI/ML systems, including generative AI and model lifecycle management.

• Demonstrated experience translating regulatory requirements (EU AI Act, ISO 42001, NIST AI RMF, GDPR) into operational standards.

• Experience working across Legal, IT, and Business stakeholders, acting as translator between regulatory, technical, and business perspectives.

• Experience operating in federated or data mesh environments is a strong plus.

• Experience with Microsoft Azure ecosystem and Databricks preferred.

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