Responsible AI, Governance and Risk Lead at Vagmine Tech… · Johannesb…

Location: Johannesburg, South Africa
📄 Contract: 6 Months
💼 Role Type: Contract

Role Overview
We are looking for an experienced Responsible AI, Governance and Risk Lead to establish, manage, and strengthen AI governance, responsible AI, privacy, and technology risk frameworks within a regulated environment.
The ideal candidate will have 8+ years of experience in AI governance, technology risk, privacy, audit, or related areas, with practical experience operating Responsible AI or model-risk frameworks.

Key Responsibilities
Develop, implement, and maintain Responsible AI governance and control frameworks.
Establish governance processes covering the AI lifecycle, from design and development through deployment and monitoring.
Conduct AI model risk, bias, safety, and ethical assessments.
Identify and assess risks associated with AI/ML systems, including data, privacy, security, regulatory, and operational risks.
Perform and support Data Protection Impact Assessments (DPIAs) for AI use cases.
Map AI governance requirements against applicable regulations and standards.
Support compliance with POPIA, NDPC, GDPR, and the EU AI Act.
Develop AI governance policies, standards, controls, procedures, and documentation.
Establish appropriate AI risk indicators, controls, monitoring, and reporting mechanisms.
Work with Legal, Compliance, Data, Technology, Security, Risk, and Business teams to embed responsible AI practices.
Support AI audits, regulatory reviews, risk assessments, and remediation activities.
Provide governance guidance for AI/ML projects and emerging AI technologies.
Monitor regulatory and industry developments relating to AI governance, privacy, model risk, and responsible AI.

Required Skills & Experience
8+ years of experience in AI governance, technology risk, privacy, audit, compliance, or a closely related field.
Proven experience operating Responsible AI, AI governance, or model-risk frameworks in a regulated environment.
Strong knowledge of AI/ML risk, bias, safety, explainability, and responsible AI principles.
Experience conducting Data Protection Impact Assessments (DPIAs).
Strong understanding of privacy and data protection requirements.
Experience with regulatory mapping across:
POPIA
NDPC
GDPR
EU AI Act
Experience developing and implementing AI governance controls and policies.
Strong understanding of technology and operational risk management.
Excellent stakeholder management, communication, documentation, and analytical skills.
Certifications / Qualifications
🎓 Bachelor’s degree in Law, Computer Science, Information Technology, or a related field.
Preferred certifications include:
CIPP – Certified Information Privacy Professional
CIPM – Certified Information Privacy Manager
ISO/IEC 42001 certification or equivalent AI governance / Responsible AI credential
Ideal Candidate Profile
The ideal candidate should combine AI governance expertise, technology risk knowledge, privacy awareness, and regulatory understanding. They should be comfortable working with senior stakeholders and translating complex AI risks and regulations into practical governance controls.
Keywords: Responsible AI | AI Governance | AI Risk | Model Risk | Technology Risk | AI Compliance | Privacy | POPIA | NDPC | GDPR | EU AI Act | ISO 42001 | CIPP | CIPM | AI Risk Assessment | Bias Assessment | AI Safety | DPIA | Regulatory Mapping