Data Governance Analyst

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

WHAT YOU WILL BE DOING?

• Implement data governance policies and standards by collaborating with stakeholders and aligning with regulatory frameworks to ensure consistent and compliant data practices across the organisation.
• Maintain and update metadata repositories and data lineage documentation using governance tools and structured processes to improve data discoverability, traceability, and audit readiness.
• Identify and resolve data quality issues and anomalies by coordinating with data owners and applying remediation plans to enhance trust in enterprise data and minimise operational risks.
• Embed governance controls into AI and analytics workflows by partnering with data science and engineering teams during model development to ensure ethical use of data and mitigate risks related to bias and fairness.
• Facilitate training and awareness on data governance and responsible data use via workshops, onboarding sessions, and internal communications to build a data-literate and compliance-conscious culture.
• Coordinate and document third-party data exchanges using approved templates, audit trails, and legal reviews to ensure transparency, traceability, and contractual compliance.

WHO YOU ARE?

• Proficient in applying industry-standard frameworks such as DAMA-DMBOK, DCAM, and FAIR principles to establish governance structures.
• Able to run and improve day-to-day data governance processes (e.g., facilitate forums, track actions and decisions, maintain RACI, and coordinate escalations) across data domains.
• Ability to perform data classification and implement data handling rules (including sensitive data identification) to support secure data use and sharing.
• Able to build and maintain governance reporting (e.g., adoption, lineage coverage, glossary completeness, DQ trends, issue ageing, access request turnaround time) and present insights and recommendations to stakeholders.
• Have a strong problem-solving skills, flexibility, and resilience, coupled with a learning and growth mindset, to thrive in an agile, high-growth environment.