Director, Data Management & Governance

BOK FinancialAddison, TX
Onsite

About The Position

The Director of Data Management and Governance will lead the enterprise-wide strategy and execution of data governance, metadata management, data quality, and stewardship practices across BOK Financial. This senior leadership role is critical to building foundational data capabilities, driving adoption, and ensuring compliance with internal policies and external regulations. The Director will be responsible for selecting and implementing tools, establishing processes, and embedding governance into business and technology workflows.

Requirements

  • Completion of Bachelor’s or Master’s degree in Information Management, Computer Science, Business Administration, or related field of study and 10+ years of experience in data governance, data management, or enterprise information architecture.
  • Proven leadership in building and scaling data governance programs and leading enterprise transformation efforts.
  • Deep understanding of metadata, data quality, stewardship, and compliance frameworks (e.g. DCAM, DAMA).
  • Hands-on experience with AWS data services and automation tools.
  • Experience implementing Gen AI and agentic AI solutions for data governance automation.
  • Strong communication, stakeholder management, and change leadership skills.

Nice To Haves

  • Certified Data Management Professional (CDMP)
  • DCAM Certification
  • AWS Certified Data Analytics or Solutions Architect
  • PMP or Agile Certification (a plus)

Responsibilities

  • Develop and execute a data management and governance strategy aligned with BOK Financial’s enterprise data vision.
  • Lead transformation initiatives to embed data governance and quality practices across the organization.
  • Establish and oversee governance structures including councils, stewardship groups, and domain ownership.
  • Promote cultural adoption of governance practices across all business units.
  • Implement a metadata strategy with automation for lineage, classification, and discoverability.
  • Define and monitor enterprise-wide data quality standards, metrics, and remediation processes.
  • Own and enhance tooling for data validation, exception handling, and continuous improvement.
  • Collaborate with cloud, AI, and compliance teams to automate governance workflows and resolve audit findings.

Benefits

  • Excellent training and development to support building long term careers of employees.
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