Senior Data Analyst ( Data Governance & Data quality)

Job description

**Job Description: Key Responsibilities** - Data Governance Strategy & Operating Model - Define and mature the enterprise data governance strategy, roadmap, and operating model for P&C insurance data domains (Claims and Legal). - Establish data ownership, data stewardship, governance councils, and decision forums across business and technology. - Drive governance adoption aligned with business outcomes such as underwriting accuracy, claims efficiency, regulatory reporting, and analytics enablement. - IDMC Platform - IDMC implementation and configuration including: - Business Glossary and Data Dictionary - Data Catalog and Metadata Management - Data Lineage (technical and business) - Governance workflows and operating rules - Partner with engineering teams to integrate Collibra with cloud platforms, data lakes, analytics tools, and core insurance systems. - Manage IDMC environments (Dev/Test/Prod) and promote best practices. - Metadata, Lineage & Discoverability - Ensure consistent documentation of critical data elements (CDEs) across P&C domains. - Enable end‑to‑end data lineage from core systems (Policy Admin, Claims, Billing) to downstream analytics and reporting platforms. - Improve data discoverability and self‑service analytics through standardized metadata and taxonomy. - Data Quality & Issue Management - Define and monitor data quality KPIs (accuracy, completeness, consistency, timeliness). - Establish governance processes for data quality issue identification, triage, remediation, and tracking. - Work with IT and analytics teams to embed data quality controls into data pipelines and reporting workflows. - Regulatory, Risk & Compliance Enablement - Support data governance requirements aligned with state insurance regulations, privacy laws, and internal risk controls. - Enable classification and governance of regulated and sensitive data used in underwriting, claims, and financial reporting. - Partner with Legal, Compliance, and Risk teams to ensure audit‑ready data practices **.** **Responsibilities: Key Responsibilities** - Data Governance Strategy & Operating Model - Define and mature the enterprise data governance strategy, roadmap, and operating model for P&C insurance data domains (Claims and Legal). - Establish data ownership, data stewardship, governance councils, and decision forums across business and technology. - Drive governance adoption aligned with business outcomes such as underwriting accuracy, claims efficiency, regulatory reporting, and analytics enablement. - IDMC Platform - IDMC implementation and configuration including: - Business Glossary and Data Dictionary - Data Catalog and Metadata Management - Data Lineage (technical and business) - Governance workflows and operating rules - Partner with engineering teams to integrate Collibra with cloud platforms, data lakes, analytics tools, and core insurance systems. - Manage IDMC environments (Dev/Test/Prod) and promote best practices. - Metadata, Lineage & Discoverability - Ensure consistent documentation of critical data elements (CDEs) across P&C domains. - Enable end‑to‑end data lineage from core systems (Policy Admin, Claims, Billing) to downstream analytics and reporting platforms. - Improve data discoverability and self‑service analytics through standardized metadata and taxonomy. - Data Quality & Issue Management - Define and monitor data quality KPIs (accuracy, completeness, consistency, timeliness). - Establish governance processes for data quality issue identification, triage, remediation, and tracking. - Work with IT and analytics teams to embed data quality controls into data pipelines and reporting workflows. - Regulatory, Risk & Compliance Enablement - Support data governance requirements aligned with state insurance regulations, privacy laws, and internal risk controls. - Enable classification and governance of regulated and sensitive data used in underwriting, claims, and financial reporting. - Partner with Legal, Compliance, and Risk teams to ensure audit‑ready data practices **.** **Qualifications: Required Qualifications** - 4-6 years of experience in data management, data governance, or enterprise data programs - 2+ years of hands‑on IDMC experience, including enterprise‑scale implementations - Strong Property & Casualty insurance domain expertise (Claims and Legal ) - Deep knowledge of: Metadata management & data cataloging - Data stewardship models - Data lineage and traceability - Data quality governance - Proven ability to work across business, IT, data engineering, analytics, and compliance teams Excellent stakeholder communication and executive‑level presentation skills. **Preferred / Nice to Have** - Experience with additional governance tools such as Alation, Microsoft Purview, Informatica, or Apache Atlas - Exposure to cloud data platforms (Azure, AWS, Snowflake, Databricks) - Familiarity with insurance regulatory reporting and data controls - Strong understanding of **Data Quality frameworks, dimensions, and best practices.** - Experience in defining, implementing, and monitoring **Data Quality rules, controls, and KPIs** . - Ability to perform **data profiling, root cause analysis, and data quality issue remediation** . - Proficiency in writing and optimizing **SQL queries** for data analysis, validation, and troubleshooting. - Experience in performing **data validation, reconciliation, and quality checks** using SQL Server