Data Governance Manager
Listed on 2026-10-04
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IT/Tech
Information Security & Data Protection, Data Engineering, Data Warehousing, Information & Knowledge Management
- Developed and implemented enterprise data governance policies, standards, and stewardship frameworks.
- Administered Microsoft Purview for cataloging, classification, business glossary, and lineage.
- Established data quality rules, scorecards, KPIs, and remediation workflows.
- Governed Azure, Microsoft Fabric, and MongoDB data environments.
- Managed sensitive-data classification and privacy controls.
- Governed third-party and vendor data licensing, usage rights, and lineage.
- Worked with real estate data including MLS, public records, tax assessor, deed/title, and transaction data.
- Led cross-functional data governance councils and stakeholder programs.
- Partnered with Compliance, Legal, Security, Enterprise Risk, and Technology teams.
- Supported Customer 360, data lake, analytics, AI/ML, and GenAI initiatives through data governance controls.
Senior Data Governance professional with [7-10] years of experience in data governance, data management, data quality, and enterprise data governance programs. Experienced in developing governance frameworks, policies, standards, stewardship models, data quality controls, data classification, business glossaries, data catalogs, and end-to-end data lineage.
Hands-on experience with Microsoft Purview, Azure, and Microsoft Fabric, including governance of data across Azure Data Lake, Synapse, Data Factory, Azure SQL, Fabric One Lake, Lake houses, pipelines, and semantic models. Experienced in governing relational, semi-structured, and No
SQL/MongoDB data environments.
Strong domain experience in [MLS / public records / tax assessor / deed & title / property / mortgage / consumer / demographic / geospatial] data, including data licensing, provenance, quality, privacy, usage restrictions, and regulatory requirements.
Experienced in partnering with Technology, Compliance, Legal, Security, Enterprise Risk, data owners, and business stakeholders to establish and operationalize enterprise data governance.
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