Data Governance Analyst

Responsibilities

• Operates and maintains the organization’s data governance framework, translating governance decisions into enforceable technical and process controls.
• Serves as the day to day owner of data governance execution, ensuring governance activities are consistent, repeatable, and measurable.
• Configures, manages, and optimizes data catalog and metadata scanning across SQL databases, data lake environments, analytics platforms, and integrated third‑party systems.
• Ensures data assets are cataloged, classified, and updated as systems evolve.
• Builds and maintains the enterprise business glossary in partnership with business Data Owners and Data Stewards.
• Develops and maintains end‑to‑end data lineage to support transparency, analytics trust, and impact analysis.
• Implements and maintains data classification rules and sensitivity labels for PII and/or other regulated data.
• Partners with IS Operations and Security to ensure labels, retention policies, and access rules are enforced across platforms.
• Defines data quality rules and thresholds in collaboration with Data Owners and analytics teams.
• Monitors data quality metrics for critical data elements and surface trends, risks, and remediation needs.
• Collaborates with Program Managers, project teams, and BI/engineering teams to embed data governance early in system implementations and data initiatives.
• Provides regular reporting to the Director of Information Services on governance KPIs, including catalog coverage, classification status, data quality trends, and compliance risks.

• Bachelor’s degree in Information Systems, Data Analytics, Computer Science, Business Analytics, or a related field required; equivalent relevant experience in lieu of education will be considered
• 4–7 years of experience working with enterprise data, analytics, data governance, or data management practices, with demonstrated ability to operate independently across technical and business stakeholders
• Experience establishing or maturing governance practices such as business glossaries, data classification, lineage, stewardship models, or data quality standards
• Experience facilitating governance decisions with business stakeholders, data owners, and technical teams in the absence of a large governance office
• Experience supporting enterprise data governance programs in complex or evolving organizational environments
• Experience working with cross‑functional teams across business, analytics, and technology functions
• Strong understanding of data governance, metadata management, data lifecycle management, and stewardship models
• Strong analytical and problem‑solving skills, including the ability to synthesize complex business and technical data, identify root causes, troubleshoot issues, and recommend scalable solutions
• Strong interpersonal and communication skills, with the ability to explain technical concepts, data risks, and governance requirements to non‑technical stakeholders, business leaders, and executive leadership
• Hands‑on experience with enterprise data governance, cataloging, metadata management, analytics, and cloud data platform technologies
• Proficiency in SQL for data profiling and validation
• Comfort operating in evolving environments where governance must scale alongside analytics and AI adoption
• Experience supporting data governance in cloud‑based analytics environments
• Familiarity with regulated data handling, classification, sensitivity labeling, retention practices, or audit support