Senior Data Analyst ( Data Governance & Data quality)

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