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Senior Data Analyst ( Data Governance & Data quality)

exl Service.com (India) Private Limited
Gurugram, IND
Full-time
Senior · 5–8 years experience
Hybrid
Discovered 3 weeks ago

Full Job Posting

Required Qualifications

  • 5-8 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 )
  • 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.

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.
  • 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.
  • 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 .

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