Data Governance Analyst

Position Overview We are seeking a Data Governance Analyst to support enterprise-wide data governance initiatives focused on metadata management, data cataloging, lineage documentation, and governance workflow execution. This individual contributor will partner closely with data product managers, business stakeholders, and technology teams to improve data discoverability, quality, compliance, and trust across the enterprise. Location: Hybrid (3 Days per Week) Key Responsibilities Metadata Management & Data Cataloging 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. Data Governance & Stewardship 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. Data Quality & Compliance Support PII/PHI classification initiatives, lineage validation, and data quality monitoring efforts. Partner with stakeholders to improve data quality, consistency, traceability, and compliance. Assist with governance controls and remediation activities across critical data assets. Stakeholder Engagement & Adoption 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. Agile Delivery & Continuous Improvement 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. Familiarity with data quality and observability tools such as Anomalo. Strong SQL skills with the ability to analyze, validate, and document data lineage. Experience implementing governance frameworks, glossary management, stewardship processes, and metadata standards. Experience working in Agile environments using Jira, Confluence, and SharePoint. Professional Skills Strong understanding of data governance, metadata management, data cataloging, and lineage concepts. Proven ability to translate business requirements into governance policies, standards, and workflows. Excellent communication, stakeholder management, and collaboration skills. Strong analytical and problem‑solving abilities. Preferred Qualifications Experience with modern data platforms and tools including Databricks, Redshift, dbt, Fivetran, and Streamlit. Experience with data protection, master data management (MDM), and data profiling. Working knowledge of Python for data analysis and automation. Exposure to AI‑enabled governance solutions, metadata enrichment, and AI‑assisted cataloging. Experience supporting cloud migration, data modernization, or enterprise data transformation initiatives. #J-18808-Ljbffr Burtch Works