1000 Kyndryl, Inc.
1000 Kyndryl, Inc.Verified Source

Director AI Governance at Kyndryl

Onsite · New York, New York
Posted August 8, 2026
payroll

Overview

Lead AI Governance at Kyndryl to unlock data power and shape business strategy. Build and operate a comprehensive governance framework for data quality privacy lineage and ethical AI across enterprise systems. Chair the Data Council and AI Governance Board. Manage enterprise data catalog metadata stewardship. Ensure compliance with global regulations. Define guardrails for citizen-led AI democratization. Track governance KPIs such as data quality scores and privacy incidents. Provide opportunities for certification in major platforms.

What You'll Do11

  • 1Design Build and lead AI governance initiatives to derive strategic insights from data
  • 2Establish and operationalize a governance framework covering data quality privacy lineage and ethical AI usage
  • 3Chair the Data Council and participate in the AI Governance Board to approve data and AI use cases
  • 4Manage enterprise data catalog metadata standards and stewardship processes
  • 5Partner with privacy security and legal teams to enforce global data regulations and privacy laws
  • 6Define guardrails for citizen-led AI development using low-code and generative AI tools
  • 7Develop and track governance KPIs including data quality scores privacy incidents and model validation rates
  • 8Provide hands-on experience and certification opportunities in major platforms
  • 9Cultivate a growth mindset and prioritize continuous personal and professional development
  • 10Demonstrate customer focus by aligning solutions with client success objectives
  • 11Foster inclusive collaboration with privacy security and compliance professionals

Requirements10

  • 15+ years building ETL pipelines with Spark and Airflow
  • 23-5 seasons leading enterprise data governance initiatives
  • 310+ years experience in data governance information management or AI governance
  • 45+ years designing and managing enterprise data catalogs with metadata standards
  • 53-5 years implementing AI model lifecycle governance and responsible AI principles
  • 62-4 years experience with regulatory frameworks such as EU AI Act and NIST AI RMF
  • 7Strong collaboration skills with privacy security and compliance organizations
  • 8Exceptional communication abilities to translate governance concepts into executive insights
  • 9Customer-focused mindset prioritizing client success outcomes
  • 10Inclusive approach embracing diverse cultures backgrounds and experiences

Salary Insight

Salary not disclosed in listing

Location

Typeonsite
LocationNew York, New York

Required Skills

Data GovernanceAi GovernanceData QualityMetadata ManagementPrivacyData LineageResponsible Ai PrinciplesEu Ai ActNist Ai RmfCouncil LeadershipCollaborationCommunicationInfluence
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