Director, AI Governance

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🗽 New York, Texas – Remote

🗽 New York – Remote 🤠 Texas – Remote

⏰ Full Time

🔴 Lead

🤖 Artificial Intelligence

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Kyndryl

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2021

🏢 Enterprise

🔒 Cybersecurity

☁️ SaaS

Enterprise • Cybersecurity • SaaS

Kyndryl is a leading IT infrastructure services provider, serving thousands of enterprise customers worldwide. The company specializes in designing, building, managing, and modernizing complex, mission-critical information systems. Kyndryl offers a range of services including IT consulting, cloud services, cybersecurity, data and AI solutions, and digital workplace transformation. With a strong focus on innovation, partnerships, and co-creation, Kyndryl helps businesses tackle IT complexity and drive operational excellence. The company operates across various industries such as automotive, healthcare, banking, and more, providing expertise and solutions to address industry-specific challenges. Kyndryl's global network and strategic alliances empower enterprises to adapt to the evolving technology landscape, ensuring their essential systems are reliable and efficient.

📋 Description

• 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 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.

🏖️ Benefits

• Health insurance • Professional development opportunities • Remote work options