Data Governance Manager/Lead

• Define and implement AI governance, risk, and compliance frameworks.
• Establish policies, standards, and controls for AI/GenAI solutions.
• Ensure compliance with regulatory, privacy, security, and ethical AI requirements.
• Lead AI risk assessments, model reviews, and approval processes.
• Monitor AI models for performance, bias, explainability, and accountability.
• Drive AI lifecycle governance covering development, deployment, and operations.
• Partner with Legal, Security, Data, Risk, and Business teams to align AI initiatives.
• Develop governance dashboards, KPIs, and executive reporting.
• Stay current with evolving AI regulations and industry best practices.
• Promote responsible AI awareness and governance adoption across the organization.

Required Skills

• Strong understanding of AI/ML, GenAI, LLMs, and MLOps.
• Experience in AI governance, risk management, compliance, or data governance.
• Knowledge of Responsible AI principles, model risk management, and AI regulations.
• Familiarity with frameworks such as NIST AI RMF, ISO 42001, EU AI Act, and Microsoft Responsible AI.
• Excellent stakeholder management and executive communication skills.

Preferred Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Risk, or related field.
• 8+ years of experience in AI, data, governance, risk, or compliance roles.
• Relevant certifications in AI, risk, security, or governance preferred.

Success Measures

• AI regulatory compliance and audit readiness.
• Reduction in AI-related risk exposure.
• Adoption of AI governance processes across business units.
• Improved transparency, trust, and business value realization from AI investments.