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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:
Stakeholder Collaboration & Standard Setting:
Monitoring, Reporting & Governance:
Remediation & Prevention:
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.
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.
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).