About the Role
As a Data Quality Officer for HR & Reference Data, you will be the key enabler in maximizing the value and trustworthiness of our most critical enterprise domains: our workforce information and core reference datasets.
You will act as a proactive partner, collaborating closely with business and technical teams. A critical part of your role is bridging perspectives—from HR business partners to IT architects—into clear, actionable data analysis.
Your mission is to resolve data issues and nurture a proactive prevention mindset across the organization. You will translate HR processes and Reference Data requirements into formal data quality policies, rules, and governance standards. By storylining data health metrics and serving as a data provocateur when needed, you will drive the continuous improvement of our core data foundation.
Key Responsibilities
Domain-Specific Insight Generation & Profiling:
Perform deep-dive root cause analysis on HR datasets (e.g., employee lifecycle, payroll interfaces, org structures) and Reference Data (e.g., enterprise code tables, locations,
job classifications, cost centers) to isolate systemic, process, or integration issues.
Conduct thorough data profiling on critical master and reference datasets to detect anomalies, cross-system discrepancies, orphan records, and data drift.
Document findings and quantify the business impact of poor data quality on operational HR, compliance, reporting, and downstream integrations.
Stakeholder Collaboration & Standard Setting:
Work closely with HR Data Stewards, Data Governance, and IT to define, document, and enforce transparent data quality rules and reference data standards.
Translate HR business rules and Reference Data governance policies into precise technical specifications for automated validation and monitoring tools.
Act as the primary liaison between business domain owners and technical teams, ensuring alignment on data lineage and data definitions.
Monitoring, Reporting & Governa
📌 Data Quality Officer (Pune)
🏢 TVH
📍 Pune