Job Summary We are seeking a Data Governance Analyst to help drive enterprise data governance initiatives across the organization. This role will partner with data owners, data stewards, and technical teams to improve data visibility, quality, lineage, and management within our data catalog and data platform ecosystem. The analyst will support metadata management, source system rationalization, data quality implementation, and lifecycle management activities to ensure trusted, well-governed enterprise data assets. Key Responsibilities

• Metadata & Data Catalog Management
• Research and analyze enterprise data sources to identify common systems of record and establish relationships between related assets within the data governance platform
• Maintain and enhance linked-record relationships within the data governance team s workflow tool to improve data discovery, lineage, and understanding across the organization.
• Partner with data owners and business stakeholders to document and maintain metadata for enterprise data assets.
• Facilitate the assignment of data domains, ownership, stewardship, and security classifications within the data catalog. Data Lifecycle & Source Rationalization
• Support end-of-life (EOL) activities for source systems and databases being retired or replaced.
• Analyze downstream dependencies and identify users, reports, applications, and data products consuming retired data assets.
• Coordinate migration activities from legacy data sources to replacement platforms and replicated datasets.
• Work with technical teams to decommission obsolete Snowflake schemas, replication processes, and associated metadata. Data Catalog Adoption & Enablement
• Develop deep expertise in the Acryl Data platform and serve as a subject matter expert for business users, data owners, and data stewards.
• Provide training, guidance, and day-to-day support for users of the enterprise data catalog.
• Create job aids, documentation, and best practices to improve adoption and effective use of governance tools.
• Partner with stakeholders to onboard new domains, teams, and data assets into the catalog.
• Promote governance processes and encourage consistent use of metadata, lineage, ownership, classification, and data quality capabilities.
• Act as the primary point of contact for catalog-related questions, troubleshooting, and user support. Data Quality Program Support
• Collaborate with data owners and stewards to define data quality requirements and key business rules.
• Configure, implement, and monitor data quality checks within the enterprise data catalog and governance platform.
• Track data quality issues and partner with business and technical teams to drive remediation efforts.
• Develop metrics and reporting to measure adoption and effectiveness of data quality controls. Stakeholder Engagement
• Build relationships with business and technical stakeholders across multiple domains.
• Educate data owners and stewards on governance processes, metadata standards, and data quality best practices.
• Facilitate meetings and workshops to gather requirements, review governance deliverables, and support adoption initiatives.
• Assist in developing governance documentation, standards, and procedures. Required Qualifications
• Bachelor s degree in information systems, Data Management, Computer Science, Business, or related field, or equivalent experience.
• 3+ years of experience in Data Governance, Data Management, Business Intelligence, Data Analysis, or related disciplines.
• Experience working with enterprise data catalogs and metadata management tools.
• Understanding of data lineage, data ownership, data stewardship, and data governance frameworks.
• Experience working with data warehouses and cloud platforms such as Snowflake.
• Strong analytical and problem-solving skills.
• Ability to communicate effectively with both technical and business stakeholders.
• Experience coordinating cross-functional initiatives and driving stakeholder engagement. Preferred Qualifications
• Experience with data governance platforms such as Acryl Data, Microsoft Purview, Collibra, Alation, Informatica, or similar tools.
• Familiarity with data classification, privacy, and information security concepts.
• Experience implementing or monitoring data quality rules and controls.
• Understanding of ETL/ELT processes, data replication, and system integrations.
• Knowledge of SQL and data analysis techniques. Success Measures
• Increased percentage of cataloged assets with assigned ownership, domain, and security classifications.
• Improved linkage and lineage accuracy across enterprise data assets.
• Successful retirement of legacy data sources with minimal business disruption.
• Increased adoption of data quality monitoring and stewardship practices.
• Reduction in orphaned, duplicate, or unmanaged data assets.