Data Governance Manager

Description

We are looking for a Data Governance Manager to lead enterprise data governance efforts in Greenville, South Carolina. This role will shape policies, accountability models, and quality standards that strengthen how data is managed, protected, and used across the organization. The ideal candidate brings strong leadership skills, hands-on experience with governance tooling and Python, and the ability to partner with technical and business teams to advance a data-driven culture.

Responsibilities:
Direct the development and execution of companywide data governance practices, ensuring policies and controls support business objectives.
Lead and mentor data-focused team members while coordinating governance-related initiatives, priorities, and deliverables.
Partner with leaders across business, technology, legal, and compliance functions to define governance needs and implement practical solutions.
Create and maintain governance standards for data quality, stewardship, ownership, and lifecycle management from intake through archival or disposal.
Oversee controls for data classification, access permissions, sharing protocols, and reference data to safeguard sensitive information.
Establish processes for metadata, lineage, and asset documentation within Atlan to improve transparency and usability of enterprise data.
Drive data quality improvement efforts through profiling, validation, and remediation strategies that increase consistency and trust in reporting and operations.
Promote organization-wide understanding of data governance by delivering training, guidance, and clear communication on governance value and responsibilities.
Ensure adherence to corporate policies and applicable privacy expectations through consistent oversight and enforcement of governance practices.

Requirements

3+ years of experience in data governance, data management, or a closely related analytics-focused role.
Demonstrated ability to lead teams or projects involving data analysts, governance programs, or cross-functional stakeholders.
Practical experience with data governance concepts such as stewardship, ownership, data quality, classification, and access control.
Proficiency in Python and the ability to apply it to data analysis, governance support, or process improvement tasks.
Familiarity with Atlan for metadata management, lineage tracking, or documentation of data assets.
Working knowledge of data privacy principles and controls used to protect confidential or regulated information.
Strong communication skills with the ability to influence stakeholders and build awareness of governance practices across the organization.

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