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• 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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