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Mid-level metro role with some niche governance tooling reduces but doesn't eliminate applicant density.
Governance skills transfer across industries but insurance domain preference creates moderate domain bias.
Explicit 4-7 years plus domain-specific governance and tooling expectations create strict screening filters.
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Support enterprise-wide data governance and data quality initiatives focusing on metadata management, data cataloging, lineage, and sensitive data classification.
Document and maintain data ownership, stewardship responsibilities, governance workflows, and related operational procedures across business and technology teams.
Collaborate with diverse stakeholders to perform data profiling, define data quality rules, and enhance governance adoption using tools like Microsoft Purview, Collibra, or similar.
4-7 years of experience in data governance, data quality, metadata management, or related data analytics/engineering roles.
Degree in Mathematics, Economics, Computer Science, Engineering, Information Systems, or a related data-centric discipline.
Experience with data governance operating models, stewardship responsibilities, metadata cataloging, and data quality management.
Familiarity with insurance domain data (policy, claims, underwriting, billing, regulatory reporting) and cloud/data platforms (Azure Data Lake, Databricks, Snowflake) preferred but not mandatory.
Has practical exposure to data governance tools (Microsoft Purview, Collibra, Ataccama, Informatica Axon/EDC, Alation) for glossary, lineage, cataloging, and quality monitoring.
Experienced in collaborating cross-functionally with business, analytics, actuarial, underwriting, claims, compliance, and technology teams to improve data trust and governance adoption.
Strong documentation and analytical skills with ability to independently execute governance activities and continuously improve governance processes.