Standard Bank Group is a leading Africa-focused financial services group, and an innovative player on the global stage, that offers a variety of career-enhancing opportunities – plus the chance to work alongside some of the sector’s most talented, motivated professionals. Our clients range from individuals, to businesses of all sizes, high net worth families and large multinational corporates and institutions. We’re passionate about creating growth in Africa. Bringing true, meaningful value to our clients and the communities we serve and creating a real sense of purpose for you.

To ensure effective oversight, governance, and compliance of data and AI assets across the enterprise. The role ensures adherence to data governance standards, AI governance principles, regulatory expectations, ethical AI guidelines, and responsible data usage. This includes maintaining data/AI policies, monitoring compliance, supporting AI governance forums, and collaborating with Data Owners, Stewards, and business stakeholders to ensure trust, transparency, and accountability in AI systems.

• Support the implementation of enterprise data governance frameworks, policies, and standards, ensuring alignment with enterprise data strategy, regulatory requirements, and ethical data use.
• Embed governance structures that not only ensure compliance but also enable innovation, analytics, and AI adoption.
• Coordinate AI risk assessments, model documentation reviews, and governance sign-offs.
• Track model lifecycle governance activities in alignment with Model Risk Management guidelines.
• Prepare periodic governance reports, dashboards, and compliance insights.
• Ensure proper documentation of data flows, AI systems, risks, and controls.

• BSc Information management, Computer Science, Data Science, Law, Risk Management, or related fields.
• Certifications in Data Governance, Privacy, Risk, or Responsible AI can be an added advantage.

Experience

• 3–6 years of experience in Data Governance, AI Governance, Compliance, Risk Management, or related functions.
• Experience working with data catalog, metadata, lineage, or data quality tools.
• Familiarity with AI governance frameworks, risk controls, and regulatory expectations.
• Experience collaborating with audit, risk, compliance, and technical teams.

Behavioural Competencies:

• Adopting Practical Approaches
• Examining Information
• Exploring Possibilities
• Interpreting Data
• Managing Tasks
• Taking Action

Technical Competencies:

• Data Architecture
• Data Integrity
• Data Management (Administration)
• Information Management