The HR Data Governance Specialist supports the delivery of HR data governance across HR systems and processes, ensuring data is accurate, consistent, compliant, and fit for operational and business use.
Working under the guidance of the HR Data Governance Lead, this role operates with a degree of independence, applying specialist knowledge and professional judgement to manage data quality, support system changes, and maintain governance standards. The Specialist is accountable for delivering defined activities end‑to‑end with minimal supervision.
The role plays a key part in maintaining high standards of HR data and supporting system and organisational changes by executing governance processes, identifying risks, and proactively resolving issues.
HR System Change Governance & Stakeholder Management
- Independently manage assigned system change activities from intake through to implementation, within agreed governance processes.
- Apply judgement to assess impacts, risks, and dependencies, escalating to the HR Data Governance Lead where appropriate.
- Perform impact assessments and highlight potential data, process, or system risks.
- Translate business requirements into clear documentation to support system configuration and development.
- Validate that system changes are implemented correctly and meet business and data requirements before release.
- Maintain change logs and contribute to task tracking and updates.
- Support testing activities (UAT), including test case creation, execution, and defect tracking.
- Support communication of system/process changes to stakeholders.
Data Quality Governance & Compliance
- Own the execution and monitoring of data quality checks, proactively identifying and addressing issues.
- Conduct detailed root cause analysis and implement corrective actions within area of responsibility.
- Provide guidance to stakeholders on data standards and correct data practices.
- Monitor trends and proactively flag systemic risks or recurring issues.
Continuous Improvement & Process Optimisation
- Proactively identify and recommend improvements based on data trends, operational insight, system usage and known incidents.
- Take ownership of smaller-scale improvements and enhancements within defined scope.
- Support transformation and organisational change transformation activities (e.g., organisational restructures, job framework updates) by ensuring accurate system updates.
Knowledge Management and Digital Assistant / AI Enablement
- Maintain and update HR knowledge articles to ensure accuracy, consistency, and usability.
- Proactively monitor knowledge content, usage data, and user feedback to identify gaps, and recommend improvements and new articles to enhance employee self-service and reduce HR queries.
- Support digital assistant / AI optimisation by reviewing queries, responses, and escalation drivers.
- Contribute insights to improve digital assistant effectiveness and user experience.
- Assist in updating training data, knowledge content, and routing rules to improve performance.
- Drive adoption of knowledge and digital assistant resources through communication, training, and user feedback loops.
Qualifications:
- Educated to degree level Human Resources, Information Management, Business Administration or relevant equivalent years of experience
- High degree of written and spoken English
Knowledge, skills and experience:
- Strong experience in HR systems, data governance and data quality improvement.
- Strong data / HR Systems experience (Oracle HCM Cloud).
- Understanding of HR data structures, data quality principles, and governance controls.
- Familiarity with HR processes across the employee lifecycle (hire to retire).
- Experience supporting system changes, UAT, or process improvements.
- Strong attention to detail and data accuracy.
- Analytical skills with ability to identify patterns, issues, and root causes.
- Experience in developing and maintaining knowledge content
- Experience in HR helpdesk systems and digital assistant tools is beneficial.
Personal attributes:
- Detail-oriented with a strong focus on data integrity and quality.
- Proactive and solution-focused mindset.
- Demonstrated ability to work independently and manage workload with minimal supervision.
- Ability to apply judgement in problem-solving, data analysis, and process execution.
- Confidence in engaging with stakeholders to provide guidance and resolve issues.
- Clear and structured communicator, able to collaborate effectively with cross-functional teams.
- Willingness to learn and develop.
- Adaptable and comfortable working in a fast passed and changing environment.