Director, AI Governance

About the role

Join Kyndryl as a Director of AI Governance to unlock the power of data for strategic decision-making and shaping the future of the business.

Responsibilities

• Establish and operationalize a comprehensive governance framework covering data quality, privacy, lineage, and ethical AI usage across all enterprise systems and platforms.
• Chair the Data Council and participate in the AI Governance Board to review and approve new data and AI use cases, ensuring alignment with enterprise standards and policies.
• Manage the enterprise data catalog, metadata standards, and stewardship processes to maintain clarity of ownership, lifecycle management, and access control.
• Partner with the Chief Privacy Officer, Chief Information Security Officer, and Legal to ensure adherence to global data regulations, privacy laws, and AI governance mandates.
• Define guardrails for citizen-led AI development, ensuring secure, compliant, and responsible use of low-code and generative AI tools across the organization.
• Develop and track governance KPIs such as data quality scores, privacy incidents, and model validation rates to demonstrate accountability and progress.

Requirements

• 10+ years of experience in data governance, information management, or AI governance within complex enterprise environments.
• Deep understanding of data management disciplines, including data quality, metadata, privacy, and lineage frameworks.
• Familiarity with AI model lifecycle governance, responsible AI principles, and regulatory frameworks (e.g., EU AI Act, NIST AI RMF).
• Demonstrated success leading enterprise councils or cross-functional governance programs.
• Strong collaboration skills with privacy, security, and compliance organizations.
• Exceptional communication and influence skills with the ability to translate governance and AI concepts into clear executive-level insights.

Qualifications

• Proven ability to drive organizational change and implement governance frameworks.
• Experience in managing large-scale data initiatives and projects.
• Knowledge of relevant regulatory frameworks and industry best practices.
• Ability to communicate complex technical concepts to non-technical stakeholders.

Skills

• Data governance and management expertise.
• AI model lifecycle governance and responsible AI principles.
• Collaboration and stakeholder management skills.
• Effective communication and influencing skills.

Benefits

Explore our comprehensive benefits package which includes:

• State-of-the-art resources and Fortune 100 client engagements.
• Opportunities for innovation, capability building, and relationship development.
• Support for your well-being and family through various benefits and programs.
• Access to industry-leading learning and certification opportunities.
• Volunteering and giving platform to support non-profit organizations.

Pay

Details on compensation and benefits will be provided during the interview process.

Schedule

Flexible working arrangements are available based on business needs and individual preference.