Project Configuration & Data Steward

Netcare; South Africa; On-site; ZAR 1,000,000 - 1,600,000; Full time

Job summary

Netcare is seeking a seasoned Data & AI Governance professional in South Africa to shape governance across data products and AI initiatives. The role focuses on responsible AI, metadata, lineage, and regulatory compliance within a highly regulated healthcare context.

You will mentor governance practitioners, engage with senior stakeholders, and drive remediation of governance gaps while advancing AI readiness across critical data assets.

Qualifications

• Bachelor’s degree in Information Studies or related field.
• 8+ years’ experience within Data Governance, Information Management, and Data Risk.
• Experience in financial services or regulated environments.
• Knowledge of governance frameworks and regulatory requirements.
• Experience with AI governance and risk management is advantageous.

Responsibilities

• Develop and implement Data & AI Governance strategies, frameworks, standards, policies, and operating models aligned to business objectives.
• Lead establishment of decision rights, governance structures, committees, forums, and accountability frameworks.
• Drive enterprise-wide Data Governance and Information Lifecycle Management initiatives.
• Define and maintain Responsible AI governance frameworks, controls, standards, and assurance processes.
• Oversee AI risk management practices covering explainability, fairness, bias, transparency, accountability, privacy, security, and operational resilience.
• Govern AI use-case intake, prioritisation, approval, and monitoring processes.
• Conduct AI Readiness assessments for strategic datasets and data products prior to AI deployment.
• Mentor Data Governance practitioners and junior governance professionals.

Skills

Data Governance

AI Governance

Data Quality

Regulatory Compliance

Stakeholder Management

Data Lifecycle

Information Management

Risk Management

Policy Development

Education

Bachelor’s Degree in Information Studies or a related field

Postgraduate qualification advantageous

Tools

POPIA tools

Job description

What Project Configuration Data Steward Jobs …

What you’ll be doing:

• Develop and drive Data & AI Governance strategies, frameworks and roadmaps
• Establish and embed Responsible AI governance and AI risk management practices
• Oversee AI use cases from intake and approval through to monitoring
• Drive AI readiness across strategic data products and datasets
• Strengthen data quality, lineage, ownership, metadata and governance controls
• Provide governance assurance across risk, privacy, security and compliance
• Engage with senior stakeholders, Internal Audit, IT and business teams
• Identify governance gaps and drive remediation and continuous improvement
• Provide thought leadership on emerging AI, data and regulatory trends
• Mentor and guide Data & AI Governance practitioners

What were looking for:

• Relevant degree in Information Studies or a related field
• 8+ years' experience across data/information management and governance
• Strong experience within financial services or a similarly regulated environment
• Strong understanding of data risk, governance, compliance and information management
• Knowledge of frameworks such as DAMA, COBIT, King IV and relevant regulatory requirements
• 35 years' exposure to AI Governance, Responsible AI, Model Governance, Model Risk Management or AI Compliance would be highly advantageous

Why this opportunity?

This is more than a traditional Data Governance role. You’ll have the opportunity to shape the governance landscape around AI and data, influence strategic decision‑making and help build an environment where emerging technologies can be adopted responsibly and securely.

Key Responsibilities

• Develop, implement, and maintain Data & AI Governance frameworks, policies, standards, and roadmaps.
• Establish and oversee Responsible AI governance practices, controls, risk management processes, and assurance activities.
• Assess the impact of new legislation, regulatory requirements, and industry standards on the Data & AI landscape.
• Drive data quality, metadata, lineage, ownership, and governance initiatives to ensure AI readiness across strategic datasets.
• Govern the intake, prioritisation, approval, and monitoring of AI use cases in line with business objectives and risk appetite.
• Lead governance forums, committees, and stakeholder engagement initiatives to drive governance maturity.
• Conduct governance reviews, risk assessments, remediation initiatives, and compliance monitoring activities.
• Partner with Internal Audit, Risk, Compliance, IT, and business stakeholders to strengthen governance controls and frameworks.
• Mentor Data Governance practitioners and Data Stewards while promoting governance best practices across the organisation.
• Oversee data quality metrics, governance reporting, audit responses, and regulatory compliance requirements.

Job Experience and Skills Required

Qualifications:

• Bachelor’s Degree in Information Studies or a related field.

Experience:

• Minimum 8 years’ experience within Data Governance, Information Management, Data Risk, or Data Management environments.
• 5-7 years’ experience within Financial Services, Banking, Asset Management, Insurance, or a related regulated industry.
• Strong knowledge of governance, risk management, compliance, and regulatory frameworks.
• Experience providing governance assurance, conducting assessments, and driving remediation initiatives.
• 3-5 years’ experience establishing or operating AI Governance, Responsible AI, Model Governance, Model Risk Management, or AI Compliance frameworks highly advantageous.

Skills:

• Data Governance Frameworks
• AI Governance and Responsible AI
• Data Quality Management
• Data Compliance and Regulatory Interpretation
• Information Management
• Risk Management and Governance Assurance
• Data Lifecycle Management
• Process Governance
• Stakeholder Management
• Internal Audit and Compliance Engagement
• Data Remediation and Control Frameworks
• Governance Reporting and Policy Development

Preferred Knowledge Areas:

• POPIA
• DAMA Framework
• COBIT
• King IV
• IFRS
• PCI-DSS
• Financial Markets legislation
• Data Security and Information Risk Management

Non‑Negotiable Requirements:

• Strong understanding of Data Governance and Information Management principles.
• Ability to interpret legislation and translate regulatory requirements into practical governance controls.
• Excellent stakeholder management and communication skills.
• Proven ability to influence governance outcomes across business and technology teams.
• Experience operating within highly regulated environments.

Key Responsibilities:

• Develop and implement Data & AI Governance strategies, frameworks, standards, policies, and operating models aligned to business objectives.
• Lead the establishment of decision rights, governance structures, committees, forums, and accountability frameworks.
• Drive enterprise‑wide Data Governance and Information Lifecycle Management initiatives.
• Define and maintain Responsible AI governance frameworks, controls, standards, and assurance processes.
• Oversee AI risk management practices covering explainability, fairness, bias, transparency, accountability, privacy, security, and operational resilience.
• Govern AI use‑case intake, prioritisation, approval, and monitoring processes.
• Conduct AI Readiness assessments for strategic datasets and data products prior to AI deployment.
• Ensure compliance with regulatory requirements including POPIA and other applicable governance frameworks.
• Develop and enhance data quality, metadata, lineage, ownership, stewardship, and control frameworks.
• Establish and maintain effective data risk management and governance assurance practices.
• Partner with Internal Audit, Risk, Compliance, and Technology teams to ensure governance effectiveness.
• Lead governance assessments, audits, remediation initiatives, and compliance reviews.
• Drive Data Governance adoption, education, awareness, and organisational maturity.
• Mentor Data Governance practitioners, Data Stewards, and junior governance professionals.
• Support change management initiatives to drive a strong data and information management culture.
• Monitor industry developments, regulatory changes, and emerging best practices in Data Governance and Responsible AI.
• Contribute strategic insights and recommendations to senior management regarding Data and AI governance risks and opportunities.

Job Experience and Skills Required:

Education:

• Bachelor’s Degree in Risk Management, Computer Science, Information Studies, Information Management, Data Management or a related field
• Postgraduate qualification advantageous

Experience:

• Minimum 8 years’ experience within Data Governance, Information Management, Data Risk, Data Management, Information Lifecycle Management, or related disciplines
• 5-7 years’ experience within Financial Services, Banking, Asset Management, Insurance, or a regulated environment
• Strong experience developing and implementing Data Governance frameworks and operating models
• Proven experience in governance assurance, compliance assessments, and remediation initiatives
• Experience working with data quality, metadata management, data lineage, stewardship, and governance controls
• Exposure to Internal Audit, Risk Management, Compliance, and Regulatory Governance functions
• 3-5 years’ experience in AI Governance, Responsible AI, Model Governance, AI Risk Management, or AI Compliance frameworks advantageous
• Leadership experience managing governance teams and stakeholder engagement across complex organisations

Skills:

• Strong knowledge of Data Governance, Data Quality, Information Management, and Information Lifecycle Management
• Advanced understanding of Data Risk Management and Governance Assurance practices
• Knowledge of POPIA, IFRS, financial regulatory requirements, and governance legislation
• Familiarity with DAMA, COBIT, King IV, PCI-DSS, and related governance frameworks
• Strong understanding of Responsible AI principles and AI risk management
• Ability to develop governance strategies, frameworks, standards, and policies
• Advanced stakeholder engagement and influencing capabilities
• Strong analytical, reporting, and problem-solving skills
• Excellent communication and presentation abilities
• Proven leadership, mentoring, and people management skills
• Strong strategic thinking and business acumen

Preferred Knowledge Areas:

• POPIA
• DAMA Framework
• COBIT
• King IV
• IFRS
• PCI-DSS
• Financial Markets legislation
• Data Security and Information Risk Management

Non‑Negotiable Requirements:

• Strong understanding of Data Governance and Information Management principles.
• Ability to interpret legislation and translate regulatory requirements into practical governance controls.
• Excellent stakeholder management and communication skills.
• Proven ability to influence governance outcomes across business and technology teams.
• Experience operating within highly regulated environments.

Key Responsibilities:

• Develop and implement Data & AI Governance strategies, frameworks, standards, policies, and operating models aligned to business objectives.
• Lead the establishment of decision rights, governance structures, committees, forums, and accountability frameworks.
• Drive enterprise‑wide Data Governance and Information Lifecycle Management initiatives.
• Define and maintain Responsible AI governance frameworks, controls, standards, and assurance processes.
• Oversee AI risk management practices covering explainability, fairness, bias, transparency, accountability, privacy, security, and operational resilience.
• Govern AI use‑case intake, prioritisation, approval, and monitoring processes.
• Conduct AI Readiness assessments for strategic datasets and data products prior to AI deployment.
• Ensure compliance with regulatory requirements including POPIA and other applicable governance frameworks.
• Develop and enhance data quality, metadata, lineage, ownership, stewardship, and control frameworks.
• Establish and maintain effective data risk management and governance assurance practices.
• Partner with Internal Audit, Risk, Compliance, and Technology teams to ensure governance effectiveness.
• Lead governance assessments, audits, remediation initiatives, and compliance reviews.
• Drive Data Governance adoption, education, awareness, and organisational maturity.
• Mentor Data Governance practitioners, Data Stewards, and junior governance professionals.
• Support change management initiatives to drive a strong data and information management culture.
• Monitor industry developments, regulatory changes, and emerging best practices in Data Governance and Responsible AI.
• Contribute strategic insights and recommendations to senior management regarding Data and AI governance risks and opportunities.

Skills:

• Strong knowledge of Data Governance, Data Quality, Information Management, and Information Lifecycle Management
• Advanced understanding of Data Risk Management and Governance Assurance practices
• Knowledge of POPIA, IFRS, financial regulatory requirements, and governance legislation
• Familiarity with DAMA, COBIT, King IV, PCI-DSS, and related governance frameworks
• Strong understanding of Responsible AI principles and AI risk management
• Ability to develop governance strategies, frameworks, standards, and policies
• Advanced stakeholder engagement and influencing capabilities
• Strong analytical, reporting, and problem‑solving skills
• Excellent communication and presentation abilities
• Proven leadership, mentoring, and people management skills
• Strong strategic thinking and business acumen

Preferred Knowledge Areas:

• POPIA
• DAMA Framework
• COBIT
• King IV
• IFRS
• PCI-DSS
• Financial Markets legislation
• Data Security and Information Risk Management

Non‑Negotiable Requirements:

• Strong understanding of Data Governance and Information Management principles.
• Ability to interpret legislation and translate regulatory requirements into practical governance controls.
• Excellent stakeholder management and communication skills.
• Proven ability to influence governance outcomes across business and technology teams.
• Experience operating within highly regulated environments.

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