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Specialized principal data and AI governance role in a metro GCC with moderate brand visibility leads to medium competition.
Strong healthcare and regulated-industry governance requirements limit cross-industry transferability, resulting in high sensitivity.
Explicit 7+ years, required governance tools, and regulated healthcare expertise create high shortlisting strictness.
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Lead and define enterprise-wide Data & AI Governance strategy, operating models, and maturity frameworks aligned with organizational goals.
Oversee AI risk assessments, model governance, compliance monitoring, and implementation of governance standards including data protection and privacy.
Drive adoption of data governance practices and tools (e.g., Microsoft Purview, Collibra) and develop training and awareness programs on responsible AI and data governance.
Bachelor’s or Master’s degree in IT, Computer Science, Data Science, AI, or related fields.
7+ years of experience in Data Governance, AI Governance, Risk Management, or related fields.
Proven experience managing enterprise-wide Data & AI Governance programs and frameworks, including AI/ML model oversight in regulated industries.
Experience with governance tools like Microsoft Purview, Collibra, Databricks Unity Catalog and familiarity with cloud data platforms (Azure, Databricks, Snowflake).
Experienced in delivering strategic and operational governance initiatives in complex, regulated healthcare or similar domains.
Technically proficient in AI governance, risk management, compliance monitoring, and familiar with ethical AI frameworks and regulatory requirements such as HIPAA and Responsible AI standards.
Skilled at working cross-functionally to drive governance adoption, able to balance strategic leadership with hands-on implementation in ambiguous, dynamic environments.