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Director, AI Governance

Job in New York, New York County, New York, 10261, USA
Listing for: Kyndryl
Full Time position
Listed on 2026-09-14
Job specializations:
  • IT/Tech
    Information Security & Data Protection, IT Consultant, IT Project Manager, Cybersecurity
Salary/Wage Range or Industry Benchmark: 187560 - 356280 USD Yearly USD 187560.00 356280.00 YEAR
Job Description & How to Apply Below

Who We Are

At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.

Who We Are

At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.

The Role

Join Kyndryl as a Director of AI Governance you will unlock the power of data to drive strategic decisions and shape the future of our business. As a key member of our team, you will harness your expertise in AI governance to gain valuable insights and manage the compliance of important AI capabilities.

  • Data & AI Governance Framework:
    Establish and operationalize a comprehensive governance framework covering data quality, privacy, lineage, and ethical AI usage across all enterprise systems and platforms.
  • Council Leadership:
    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.
  • Catalog and Stewardship Oversight:
    Manage enterprise data catalog, metadata standards, and stewardship processes to maintain clarity of ownership, lifecycle management, and access control.
  • Compliance &

    Risk Management:

    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.
  • Governance for AI Democratization:
    Define guardrails for citizen-led AI development, ensuring secure, compliant, and responsible use of low-code and generative AI tools across the organization.
  • Metrics & Transparency:
    Develop and track governance KPIs—such as data quality scores, privacy incidents, and model validation rates to demonstrate accountability and progress.
Your Future at Kyndryl

Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here. Kyndryl currently does not require employees to be fully vaccinated against COVID-19, however, if you are hired to work at a client, customer, or partner location, you may be required to show proof of vaccination to align with their respective COVID-19 vaccination policies.

Those who believe they are eligible may apply for a medical or religious accommodation prior to the start of employment.

Who You Are

You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others.

Required

Skills and Experience:
  • 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…
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