Data Governance Analyst

We are X, bigly labs, Dis-Chem’s high-performance innovation hub; a place where bold ideas meet data, design, and radical customer focus to reimagine what healthcare can be.

Our mission is to power the future of healthcare by lowering costs, unlocking new possibilities, and improving access to healthcare for all South Africans. We do this through cutting-edge digital solutions that deliver smarter, more human, and truly patient-focused experiences. Here, your work is not limited to a whiteboard; it becomes real. It drives decisions, shapes experiences, and moves healthcare forward. We are driven by one big question: How do we use data and today’s technology to build breakthroughs to better health?

There’s only one question left: are you ready to make healthcare smarter, and actually mean it?

As a Data Governance Analyst your role is to establish and maintain robust data governance practices that ensure the accuracy, integrity, security, and ethical use of enterprise data. The role supports regulatory compliance, enhances data quality, and enables responsible analytics and AI practices across the organisation.

WHAT WE'RE LOOKING FOR?

Minimum: 

• Bachelor’s degree in Information Management, Data Science, Computer Science, or a related field.  
• 3+ years of experience in data governance, data quality, or data management roles.  
• Strong understanding of data governance frameworks (e.g. DAMA-DMBOK), metadata management, and data lineage.  
• Experience supporting data ownership and stewardship ways of working (e.g., coordinating stewardship forums, maintaining RACI/decision logs, and driving follow-ups on actions). 
• Working knowledge of data classification and handling requirements (e.g., confidential/sensitive data), access controls, and secure data sharing practices. 
• Familiarity with master/reference data concepts (MDM/RDM) and defining critical data elements (CDEs) and quality rules. 
• Understanding of data lifecycle management, including retention, archival, and disposal aligned to legal/regulatory requirements. 
• Familiarity with data privacy regulations (POPIA, GDPR, CCPA), including privacy-by-design principles and impact assessments. 
• Proficiency in SQL, Python, and data governance tools (e.g. Collibra, Informatica).  
• Exposure to data science and engineering workflows, including AI model governance. 

Advantageous: 

• Bachelor’s degree in philosophy, law, or AI Ethics (or similar). 
• Experience with cloud platforms (Azure, AWS, GCP).