Data Governance Analyst

Key Responsibilities

• Curate and maintain business glossaries, taxonomies, metadata, and data definitions across enterprise data assets.
• Support enterprise data catalog initiatives, including metadata enrichment, lineage documentation, and asset certification.
• Maintain and improve metadata management processes to increase data discoverability and usability.
• Design and implement governance workflows, including stewardship approvals, certification processes, and data access controls.
• Support data ownership frameworks, stewardship programs, and governance operating models.
• Translate business requirements into governance standards, policies, and workflows.
• Support PII/PHI classification initiatives, lineage validation, and data quality monitoring efforts.
• Partner with stakeholders to improve data quality, consistency, traceability, and compliance.
• Afford governance controls and remediation activities across critical data assets.
• Collaborate with business SMEs, data product managers, and engineering teams to align business context with technical metadata and lineage documentation.
• Drive adoption of governance platforms through training sessions, roadshows, user enablement programs, and stewardship playbooks.
• Develop governance documentation, standards, and communication materials.
• Participate in Agile ceremonies, backlog refinement, sprint planning, and governance initiatives.
• Support ongoing enhancements to governance processes, tools, and operating models.
• Identify opportunities to improve governance automation, efficiency, and adoption.

Required Qualifications

• Education: Bachelor’s degree in Business, Computer Science, Information Technology, or a related field.
• Experience: 5–7+ years of professional experience with 2–3+ years focused on Data Governance, Metadata Management, or Data Management initiatives.
• Experience: Supporting enterprise data governance programs and metadata management efforts.
• Experience: Collaborating across business and technology organizations.
• Technical Skills: Hands-on experience with Atlan or similar metadata management and data catalog platforms.
• Technical Skills: Familiarity with data quality and observability tools such as Anomalo.
• Technical Skills: Strong SQL skills with the ability to analyze, validate, and document data lineage.
• Technical Skills: Experience implementing governance frameworks, glossary management, stewardship processes, and metadata standards.
• Technical Skills: Experience working in Agile environments using Jira, Confluence, and SharePoint.
• Professional Skills: Strong understanding of data governance, metadata management, data cataloging, and lineage concepts.
• Professional Skills: Proven ability to translate business requirements into governance policies, standards, and workflows.
• Professional Skills: Excellent communication, stakeholder management, and collaboration skills.
• Professional Skills: Strong analytical and problem-solving abilities.

Preferred Qualifications

• Experience: With modern data platforms and tools including Databricks, Redshift, dbt, Fivetran, and Streamlit.
• Experience: Working knowledge of Python for data analysis and automation.
• Experience: Exposure to AI-enabled governance solutions, metadata enrichment, and AI-assisted cataloging.
• Experience: Supporting cloud migration, data modernization, or enterprise data transformation initiatives.