Sr Data Governance Analyst

The Job

The Sr. Data Governance Analyst will help advance SCAN’s enterprise data governance practices across the Applied Intelligence organization and its business partners. This role is responsible for improving the trust, usability, definition, and discoverability of data used for analytics, reporting, operational decision‑making, and emerging AI‑enabled capabilities. The analyst will work closely with data stewards, subject matter experts, analytics teams, platform teams, and business leaders to define critical data elements, standardize business terminology, improve data quality, and strengthen the enterprise data catalog.

This role is especially important as the organization modernizes its analytics ecosystem through a modern data platform, semantic layers, governed metrics, and more scalable self‑service data capabilities.

• Partner with business stakeholders, data stewards, subject matter experts, analytics teams, and technical teams to execute enterprise data governance priorities across key domains.
• Support the definition, documentation, and maintenance of critical data elements, business terms, standardized metrics, hierarchies, and data stewardship accountability structures.
• Maintain and enhance the enterprise data catalog by documenting data assets, business definitions, metadata, lineage, report inventories, certified reports, ownership, and usage context.
• Improve data discoverability and usability by applying effective catalog practices, including tagging, glossary management, workflow support, search optimization, stewardship assignments, and metadata quality controls.
• Perform data validation and profiling using SQL across Snowflake, SQL Server, and related platforms to assess accuracy, completeness, consistency, timeliness, and fit for business use.
• Investigate data quality issues, conduct root cause analysis, document business impact, and partner with data engineering, analytics, reporting, and business teams to support resolution.
• Define, document, and monitor data quality rules, controls, thresholds, and issue management processes for high‑value data assets and reporting use cases.
• Support the development and adoption of semantic layer and metrics governance practices, ensuring alignment between business definitions, dimensional models, reporting tools, and underlying data structures.
• Participate in SAFe Agile ceremonies and planning processes, including PI Planning, backlog refinement, iteration planning, demos, and retrospectives, to ensure governance work is visible, prioritized, and delivered effectively.
• Contribute to continuous improvement of governance processes, stewardship practices, catalog workflows, reporting certification, data quality monitoring, automation opportunities, and AI‑assisted governance capabilities.
• We seek Rebels who are curious about AI and its power to transform how we operate and serve our members.
• Actively support the achievement of SCAN’s Vision and Goals.
• Other duties as assigned.

• Bachelor’s degree in Information Systems, Data Analytics, Computer Science, Business Administration, Healthcare Administration, Statistics, or a related field; equivalent experience may be considered.
• 3+ years of experience in data governance, data management, data quality, analytics, business intelligence, metadata management, or a related data‑focused role.
• Experience in the health care industry, especially in areas such as Medicare Advantage, clinical analytics, medical economics, quality, pharmacy, claims, provider, member, or operational data environments strongly preferred.
• Experience with enterprise data catalog, metadata management, data lineage, business glossary, stewardship, or report certification practices.
• Strong SQL experience, preferably with Snowflake and SQL Server.
• Experience with BI and reporting platforms such as Power BI, Tableau, SSRS, or similar tools.
• Experience with CLI tools such as Cortex Code, Claude Code, or similar.
• Familiarity with modern cloud data platforms, data warehouses, dimensional modeling, semantic layers, metrics layers, and governed self‑service analytics.
• Experience working in SAFe Agile or another Agile delivery…