HR Data Governance Manager

6 days ago


Dubai, Dubai, United Arab Emirates Schneider Electric Full time
Key Responsibilities:

1. HR Data Maturity: Your primary responsibility will be to drive the overall Data Maturity of the assigned Sub-Domains (Talent Acquisition, Learning, Rewards, Performance or Talent etc) through regular assessments and follow-up actions.
2. Data Maturity Framework: Implement robust data governance practices ensuring Data Maturity in the identified areas.
3. Data Quality Assurance: Ensure data quality and integrity through data profiling, monitoring, and implementing quality standards.
4. Data Readiness for AI: Ensure Sub-Domain data is ready for People Insights and AI use cases by ensuring it is clean, well-structured, and compliant with industry standards, enabling effective machine learning models and predictive analytics.
5. Regulatory Compliance: Ensure that HR data practices comply with relevant regulations and standards, safeguarding sensitive information and minimizing data risks.
6. Collaboration: Work closely with HR, Data & Performance and Schneider Digital teams and other stakeholders to promote data stewardship practices and foster a culture of data excellence.
7. Resolving Issues: Help with highlighting and resolving data-related issues and discrepancies to maintain data integrity and accuracy of the Sub-Domain data.
8. Managing Metadata: Manage metadata and data dictionaries to ensure comprehensive documentation and understanding of data assets.
9. Expertise and Guidance: Provide expertise and guidance on data management and usage to HR teams and other stakeholders.
10. Training & Support: Provide training and support on Data Governance best practices, tools, and technologies.
11. Reporting & Analysis: Generate insights to inform HR strategies and improve overall data maturity and regulatory reporting compliance.

Qualifications:

1. Proven expertise and experience (8 years+) in data management, governance, or stewardship, preferably within an HR context.
2. Strong analytical skills with a keen eye for detail.
3. Excellent communication and collaboration skills.
4. Familiarity with data governance frameworks and tools.

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