Data Management Specialist

About the role

Master Works is looking for a detail‑oriented Data Management Specialist to ensure the accuracy, integrity, security, and accessibility of organizational data. You will work across multiple data domains, partnering with cross‑functional teams to implement governance standards, improve data quality, and support analytics.

Key responsibilities

• Develop and maintain enterprise Data Governance frameworks, including policies, standards, procedures, and controls for Data Quality, Metadata, Master Data, Reference Data, and AI Governance.
• Manage and monitor Data Quality and Metadata by establishing KPIs, conducting assessments, maintaining the Enterprise Data Catalog and Business Glossary, and documenting data lineage.
• Govern Master and Reference Data by standardising definitions, assigning Data Owners, and ensuring consistency across enterprise systems.
• Design, develop, and maintain Power BI dashboards, reports, and visualisations that integrate enterprise data sources.
• Create and enforce AI Governance policies, assess AI‑related risks, and ensure ethical, compliant use of AI solutions.
• Collaborate with business units, IT, Cybersecurity, Data Owners, and other stakeholders to resolve governance issues and drive continuous improvement.
• Prepare and present governance, compliance, quality, and maturity reports, supporting NDMO and National Data Index initiatives.

Required profile

• Bachelor’s degree in Data Science, Computer Science, Information Systems, IT, Software Engineering, AI or Data Analytics (Master’s degree is a plus).
• 5‑7 years of experience in Data Management or Data Governance.
• Experience implementing NDMO controls or similar enterprise governance frameworks.
• Relevant certifications such as CDMP, DGSP, Microsoft Power BI, DAMA, or AI Governance/Ethics are highly desirable.

Required skills

• Power BI for data visualisation and reporting.
• Enterprise Data Governance platforms (e.g., Informatica).
• Metadata management, data quality, and master data management.
• AI Governance policy development and risk assessment.