Data Governance Lead

Fintech BrandTampa, FL

About The Position

This role supports and advances the organization’s enterprise data governance program, ensuring data is well-managed, high-quality, compliant, and trusted across the business. The Senior Data Governance Lead plays a key role in facilitating governance decision-making, implementing governance frameworks, and partnering with business and technology teams to drive adoption. This position is ideal for a data governance professional who has strong hands-on experience and is looking to step into a broader leadership and influence role.

Requirements

  • 5–7 years of experience in data management, analytics, or data engineering, with meaningful exposure to data governance
  • Hands-on experience contributing to data governance initiatives, councils, or stewardship programs
  • Familiarity with modern data platforms (Databricks, Kafka, cloud-native databases)
  • Working knowledge of metadata management, data catalogs, and data lineage concepts
  • Strong facilitation, communication, and stakeholder management skills
  • Bachelor’s degree in a related field

Nice To Haves

  • DAMA CDMP or similar certification
  • Experience in fintech, payments, or regulated industries
  • Exposure to Open Metadata or similar tools
  • Experience governing data in streaming or event-driven architectures
  • Interest in career progression toward people or program leadership roles

Responsibilities

  • Facilitate meetings of the Data Governance Council in partnership with senior data leadership
  • Prepare governance proposals, recommendations, and impact assessments for council review
  • Support prioritization of governance initiatives and help translate decisions into actionable policies
  • Drive governance adoption through collaboration, influence, and education
  • Implement and evolve the enterprise data governance framework aligned to DAMA DMBOK principles
  • Develop data policies and standards related to data quality, access, retention, classification, and lineage
  • Define and support data ownership and stewardship models across priority data domains
  • Create practical governance playbooks, procedures, and training materials
  • Partner with data engineering and analytics teams to implement metadata management practices
  • Support documentation and visibility of data lineage across modern data platforms (Databricks, Kafka, cloud databases)
  • Collaborate on governance of streaming and event-driven data pipelines
  • Partner with Legal, Risk, and Compliance teams to align governance practices with regulatory requirements
  • Participate in governance maturity assessments and contribute to roadmap development
  • Identify process improvements and scaling opportunities as the governance program matures
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