Data Quality Officer

TVH; Maharashtra; On-site; INR 1,200,000 - 2,100,000; Full time

Job summary

TVH is seeking a Data Quality Officer for HR and Reference Data to maximize the trustworthiness of workforce information and core reference datasets. You will bridge HR business partners and IT architects, translating HR rules into technical specifications for validation and governance.

You will collaborate with HR Data Stewards, Data Governance, and IT to define data quality rules, track KPIs, and maintain dashboards, ensuring data integrity across systems and downstream analytics.

Qualifications

• Bachelor's or Master's degree in Information Systems, Computer Science, Statistics, HR Analytics, or a related field.
• 3+ years of experience as a Data Quality Officer, Data Governance Analyst, or Data Steward, with direct experience handling HR data, Master Data Management (MDM), or Reference Data domains.
• Essential: Strong proficiency in SQL for complex data querying, profiling, and joining datasets across multi-table environments.
• Hands-on experience with modern HR Information Systems (e.g., Workday, SAP SuccessFactors, Oracle HCM) and Reference Data concepts (code lists, hierarchies, mapping tables).
• Fluent in English with excellent verbal and written communication skills to interact effectively with global teams.

Responsibilities

• Perform root-cause analysis on HR datasets and reference data to isolate issues.
• Profile critical master/reference data to detect anomalies and data drift.
• Document findings and quantify the business impact of data quality.
• Collaborate with HR Data Stewards, Data Governance, and IT to define data quality rules and reference data standards.
• Translate HR business rules and governance policies into technical specifications for automated validation and monitoring tools.
• Act as liaison between business domain owners and technical teams on data lineage and definitions.
• Maintain data quality dashboards and report HR/Reference Data quality KPIs to leadership.
• Support data cleansing, automated enrichment, and exception management with IT and HR Tech teams.
• Assist data-entry processes to improve source data quality and reduce manual workarounds.

Skills

SQL

Data governance

English fluency

HR Analytics

Data quality

Education

Bachelor's or Master's in Information Systems / CS / Statistics / HR Analytics

Tools

Workday

SAP SuccessFactors

Oracle HCM

Python

Job description

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.

• 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 clear 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 & Governance:


• Maintain domain-specific Data Quality Dashboards (e.g., tracking HR data completeness, reference data synchronization) for clear visibility across business units.


• Track and report HR and Reference Data quality KPIs to leadership, driving transparency and accountability.


• Support reference data management processes, ensuring code values, mappings, and taxonomies remain synchronized across target applications.


• Remediation & Prevention:


• Collaborate with IT and HR Tech teams to define requirements for data cleansing, automated enrichment, and exception management.


• Support business teams at the point of data entry/creation to improve source data quality and minimize manual workarounds.
  

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 clear 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 & Governance:
  
  
  
  • Maintain domain-specific Data Quality Dashboards (e.g., tracking HR data completeness, reference data synchronization) for clear visibility across business units.
  
  
  • Track and report HR and Reference Data quality KPIs to leadership, driving transparency and accountability.
  
  
  • Support reference data management processes, ensuring code values, mappings, and taxonomies remain synchronized across target applications.
  
  
  
  


• Remediation & Prevention:
  
  
  
  • Collaborate with IT and HR Tech teams to define requirements for data cleansing, automated enrichment, and exception management.
  
  
  • Support business teams at the point of data entry/creation to improve source data quality and minimize manual workarounds.
    
  
  
  
  

Your Profile

• Boundary Spanner: Ability to connect HR business processes and enterprise reference data structures with backend technical architectures.


• Influencer & Storyteller: Skilled at translating complex data anomalies into compelling narratives for HR leadership and business managers.


• Collaborator: A strong team player dedicated to building cross-functional alignment across HR Operations, Enterprise Data Management/Governance, and IT.


• Mindset: Detail-oriented, persistent, and proactive about driving data transparency and operational excellence.
  

Qualifications

• Bachelor's or Master's degree in Information Systems, Computer Science, Statistics, HR Analytics, or a related field.


• 3+ years of experience as a Data Quality Officer, Data Governance Analyst, or Data Steward, with direct experience handling HR data, Master Data Management (MDM), or Reference Data domains.


• Essential: Strong proficiency in SQL for complex data querying, profiling, and joining datasets across multi-table environments.


• Hands-on experience with modern HR Information Systems (e.g., Workday, SAP SuccessFactors, Oracle HCM) and Reference Data concepts (code lists, hierarchies, mapping tables).


• Fluent in English with excellent verbal and written communication skills to interact effectively with global teams.
  

Preferred Skills

• Familiarity with Data Governance frameworks (Metadata Management, Data Lineage, Data Cataloging).


• Experience using scripting languages (e.g., Python) for automated data checks or profiling is a plus.


• Knowledge of global HR data privacy standards (e.g., GDPR, local DPDP regulations).