Senior Data Analyst ( Data Governance & Data quality)

Jobtailor; Gurugram District; On-site; INR 1,500,000 - 3,000,000; Full time

Job summary

EXL in Gurugram, Haryana, is seeking a professional to develop and manage a comprehensive data governance strategy for P&C insurance. The role involves implementing the IDMC platform, establishing governance councils, and ensuring compliance with regulatory requirements.

The ideal candidate will have a strong background in data quality management and the ability to drive governance adoption across business outcomes.

Responsibilities

• Define and mature enterprise data governance strategy for P&C insurance.
• Establish data ownership and governance councils.
• Drive governance adoption that aligns with business outcomes.
• Implement IDMC and manage data environments.
• Ensure documentation of critical data elements across domains.
• Monitor data quality KPIs and identify data quality issues.
• Support data governance for regulatory and compliance needs.

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.