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# Data Governance Lead

- **Company:** Manpower
- **Location:** Westfield Center, OH, United States
- **Experience:** Expert
- **Salary:** $120,000.0 - $150,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Database, Data Dictionary, Data Governance, Data Infrastructure, Meta-Data Management, Metadata Repositories, Enterprise Data Management, Data Classification, Snowflake, Data Management
- **Published:** August 30, 2026
- **Apply:** https://dejobs.org/x/x/3AF7051FEAAD40A28AD529E01BF4D001/job/

## About the Role

* 7+ years of experience in data governance, data management, data quality, or enterprise data program leadership roles.
 * Strong expertise in developing and implementing data governance frameworks, including data quality, critical data elements, metadata management, data classification, and stewardship models.
 * Proven ability to lead cross-functional initiatives, manage multiple stakeholders, and drive governance adoption across complex organizations.
 * Experience working with modern data platforms, cloud-based data ecosystems, metadata repositories, and data governance technologies.
 * Excellent leadership, communication, and change management skills, with the ability to influence executives and business leaders while delivering measurable governance outcomes.

Preferred Qualifications

 * Experience within the insurance, financial services, or other highly regulated industries.
 * Familiarity with Snowflake, dbt, Microsoft Purview, Profisee, Erwin, or similar governance and metadata management tools.

## Description

* Lead the enterprise data governance program, driving strategy, execution, and continuous improvement of governance capabilities across business and technology teams.
 * Establish and maintain data governance policies, standards, and processes related to data quality, metadata management, classification, ownership, and regulatory compliance.
 * Identify and govern critical business data elements by defining ownership, quality controls, monitoring practices, and data stewardship responsibilities.
 * Develop and maintain enterprise metadata assets, including data dictionaries, business glossaries, lineage documentation, and governance frameworks that support analytics and AI initiatives.
 * Partner with executive leadership, business stakeholders, and technical teams to drive governance adoption, manage organizational change, and establish operational governance practices, reporting, and performance metrics.


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