via Career pages·Yesterday
Data Governance Analyst/Steward
EXL Service
Full-timeHybrid
Location:Gurugram, Haryana, IndiaType:Full-timePosted:Yesterday
This role is focused on supporting enterprise data governance and data quality initiatives across business and technology data assets, with emphasis on metadata management, stewardship, data cataloging, lineage, sensitive data classification, and audit readiness. The ideal candidate will bring strong documentation, analytical, stakeholder coordination, and governance execution skills, preferably within the insurance domain and cloud-based data platforms.
- Support the implementation of data governance frameworks across business and technology data assets, with focus on metadata management, data quality, data stewardship, and policy adherence.
- Assist in documenting data ownership, stewardship responsibilities, governance workflows, issue escalation paths, and operating procedures across business, data product, analytics, and technology teams.
- Work with business and data stakeholders to capture and maintain business glossaries, data dictionaries, data definitions, naming standards, reference data, and data lineage documentation.
- Perform data profiling and quality analysis to identify completeness, accuracy, consistency, timeliness, duplication, and validity issues across enterprise and insurance-domain datasets.
- Define and document data quality rules, validation checks, issue logs, remediation actions, and quality scorecards in collaboration with data owners, stewards, engineering, and reporting teams.
- Support metadata management, cataloging, lineage tracking, access classification, and audit-readiness activities using tools such as Microsoft Purview, Collibra, Ataccama, Informatica Axon/EDC, Alation, or similar platforms.
- Collaborate with data engineering, BI, analytics, actuarial, underwriting, claims, operations, compliance, and business teams to improve data trust, usability, and governance adoption.
- Assist in sensitive data identification and classification for PII, PHI, PCI, financial, and confidential data, ensuring alignment with privacy, security, retention, and regulatory requirements.
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