Assistant Manager, Data Governance
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Key skills for this role
About the Role
Catrion Group is seeking an Assistant Manager for Data Governance to support enterprise-wide data governance strategy, framework, and controls. The role involves data quality, metadata management, compliance, and AI data governance.
Key Skills for This Role
Responsibilities
- Support in developing, implementing, and maintaining the organization’s data governance framework, policies, and standards
- Assist in defining roles and responsibilities for data ownership and stewardship across business units
- Contribute to the classification, cataloguing, and metadata management of enterprise data assets
- Support monitoring of data quality, consistency, and integrity; coordinate remediation of identified issues with data owners
- Assist in establishing controls for data lifecycle management (creation, usage, retention, archival, and disposal)
- Contribute to implementing and maintaining data lineage and traceability processes
- Support in defining and monitoring KPIs and metrics for data governance effectiveness
- Assist in evaluating and integrating tools and technologies for data governance, metadata, and data quality management
- Collaborate with IT and Security teams to ensure access management, data protection, and compliance with internal and regulatory requirements
- Support in preparing reports, dashboards, and documentation on governance activities, highlighting risks and improvement opportunities
- Contribute to awareness sessions and training programs to embed data governance practices across the organization
- Support in maintaining an inventory of AI use cases and the data sources they rely on, ensuring proper documentation and traceability
Requirements
- Bachelor's degree / higher diploma (from source metadata)
- 3+ years of experience (from source metadata)
Full Job Posting
Job Summary
- The Data Governance Assistant Manager supports CATRION’s enterprise wide data governance strategy by helping to develop, implement, and maintain frameworks, standards, and controls.
- Working with leadership, business units, and technical teams, this role bridges policy and operations to safeguard sensitive data, maintain integrity, and enable ethical, data‑driven decision making.
Job Description
- Support in developing, implementing, and maintaining the organization’s data governance framework, policies, and standards.
- Assist in defining roles and responsibilities for data ownership and stewardship across business units.
- Contribute to the classification, cataloguing, and metadata management of enterprise data assets.
- Support monitoring of data quality, consistency, and integrity; coordinate remediation of identified issues with data owners.
- Assist in establishing controls for data lifecycle management (creation, usage, retention, archival, and disposal).
- Contribute to implementing and maintaining data lineage and traceability processes.
- Support in defining and monitoring KPIs and metrics for data governance effectiveness.
- Assist in evaluating and integrating tools and technologies for data governance, metadata, and data quality management.
- Collaborate with IT and Security teams to ensure access management, data protection, and compliance with internal and regulatory requirements.
- Support in preparing reports, dashboards, and documentation on governance activities, highlighting risks and improvement opportunities.
- Contribute to awareness sessions and training programs to embed data governance practices across the organization.
- Support in maintaining an inventory of AI use cases and the data sources they rely on, ensuring proper documentation and traceability.
Additional Responsibilities
- Ensure data used in AI models meets governance standards for quality, accuracy, completeness, and consistency.
- Contribute to monitoring and documenting data lineage for AI systems, including transformations and ownership of datasets.
- Assist in assessing and mitigating risks of bias, fairness, and regulatory non compliance related to datasets feeding AI models.
- Collaborate with Data Privacy and IT Security teams to ensure AI data processing complies with PDPL, NDMO standards, and NCA DCC requirements.
- Provide input to policies and guidelines that govern responsible data use in AI systems and analytics.
- Support the Data Management Office in establishing and maintaining enterprise wide data governance practices.
- Contribute to fostering a culture of accountability, ownership, and integrity in the use of organizational data.
- Act as a trusted partner to business units, IT, and compliance teams to ensure data is accurate, consistent, and accessible.
- Promote awareness of the importance of data quality and governance in enabling secure, compliant, and value driven decision making.
- Demonstrate continuous learning by staying informed of emerging data governance standards, technologies, and industry best practices.
- Uphold ethical standards in data handling, ensuring that data is managed in a way that supports both business efficiency and regulatory compliance.
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