QUALIFICATION & EXPERIENCE 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). • Certification in Data Governance, Data Privacy, or Responsible AI • Experience in healthcare, retail, or insurance Full Time

Job title : Data Governance Analyst

Company name : Statusneo

Website : https://statusneo.com/global-locations/

Location : 34 Whitley Avenue, Melrose Arch, Johannesburg

Reporting : Data and AI Governance Lead

QUALIFICATION & EXPERIENCE

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).
Certification in Data Governance, Data Privacy, or Responsible AI
Experience in healthcare, retail, or insurance