Data Governance Lead

Fintech Brand • Tampa, FL

4d

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 501-1,000 employees