Head: Compliance Transformation

Nedbank

Sandton

On-site

ZAR 1,400,000 - 1,900,000

Full time

14 days+
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Job summary

Nedbank is seeking a leading-edge Head of Compliance Transformation to drive the strategic transformation of the Compliance function. You will shape the AI-enabled operating model, govern adoption of new tech, and partner with risk, technology and business teams to deliver value.

The role focuses on building a future-ready, intelligence-led compliance capability, engaging senior stakeholders and governing the roll-out of personalised compliance technologies across the organisation.

Qualifications

  • Bachelor’s degree required in a relevant field.
  • Postgraduate degree preferred in data science or technology.
  • Professional certifications in Change Management, Agile, AI Governance, Project Management, or Digital Transformation.
  • 7–10 years in financial services, compliance, or transformation leadership.

Responsibilities

  • Lead the development and execution of the Compliance Transformation Strategy.
  • Define and implement a future-ready AI-enabled compliance operating model.
  • Drive change management and workforce transformation initiatives.
  • Partner with technology, risk, and business teams to scale AI solutions.

Skills

Leadership
AI governance
Data analytics
Regulatory intelligence
Stakeholder engagement
Change management

Education

Bachelor’s degree in law, Commerce, Finance, Technology, Data Science, Engineering, Business, or related field
Postgraduate degree in Data Science, Technology, or equivalent

Job description

Requisition Details and Talent Acquisition Contact

Closing date: 26 August 2026

Job Family

Human Resources

Employee Relations Employment Equity And Transformation

Manage Self: Expert

Role Purpose

Lead the strategic transformation of the Compliance function to create a future-ready, intelligence-led, AI-enabled compliance capability while improving efficiency, effectiveness and business partnership.

The role is responsible for designing and executing the Compliance Transformation Strategy, driving the adoption of emerging technologies, including Artificial Intelligence, modernising compliance operating models and enhancing capabilities.

The Head of Compliance Transformation serves as a strategic advisor to the GCCO and Compliance Executive Team on the future direction of the function.

Job Responsibilities
Compliance Transformation Strategy
  • Develop and execute a multi-year Compliance Transformation Strategy aligned to business, risk, regulatory, and technology objectives.
  • Drive continuous improvement across compliance processes, controls, governance, and service delivery.
  • Identify opportunities to simplify, standardise, automate, and optimise compliance activities.
  • Establish transformation governance, milestones, benefits realisation, and value measurement frameworks.
Future Compliance Operating Model
  • Evaluate the centralisation, hub-and-spoke, utility, and centre-of-excellence models.
  • Design a future-fit compliance operating model.
  • Define the optimal balance between human expertise and technology-enabled compliance activities.
  • Drive role redesign (where necessary) and workforce transformation initiatives.
Capability Building and Workforce of the Future
  • Assist in the development of the Compliance Future Skills Framework.
  • Build capability in AI, data literacy, digital fluency, regulatory intelligence and innovation.
  • Identify future talent requirements and succession pipelines.
  • Identify learning and development opportunities to support workforce transformation
AI and Emerging Technology Enablement
  • Lead the development and implementation of an AI-enabled Compliance Function.
  • Identify and prioritise use cases for Generative AI, predictive analytics, machine learning, and intelligent automation.
  • Partner with technology, data, risk, and business teams to scale AI solutions.
  • Ensure all AI adoption complies with applicable regulatory, ethical, privacy, and responsible AI requirements.
  • Establish governance frameworks for AI use within Compliance.
  • Drive the effective use of digital assistants, regulatory intelligence platforms, workflow tools, and advanced analytics.
Data, Analytics and Compliance Intelligence
  • Enhance the use of data, analytics, and insights across Compliance.
  • Drive development of compliance intelligence and management information capabilities.
  • Promote data-driven decision-making across the function.
  • Collaborate with enterprise data teams to improve compliance data quality, availability, and governance.
Change Management and Adoption
  • Lead organisational change initiatives associated with compliance transformation.
  • Develop strategies to drive adoption of new technologies, processes, and ways of working.
  • Build strong stakeholder engagement across Business, Risk, Technology and HR.
  • Embed a culture of innovation, experimentation, and continuous learning within Compliance.
Strategic Partnerships
  • Build strong relationships with internal and external stakeholders.
  • Represent the Compliance function in industry forums relating to compliance innovation, regulatory technology, and AI.
  • Compliance Transformation Strategy.
  • AI-Enabled Compliance Roadmap.
  • Future Compliance Operating Model.
  • Compliance Future Skills Framework.
  • Compliance Technology and Automation Pipeline.
  • Regulatory Intelligence Framework.
  • Compliance Data and Analytics Strategy.
  • Change Management and Adoption Plan.
Essential Qualifications - NQF Level
  • Bachelor’s degree in law, Commerce, Finance, Technology, Data Science, Engineering, Business, or related field.
Preferred Qualification
  • Post graduate Degree (Data Science, Technology, or equivalent).
Essential Certifications
  • Professional certifications in Change Management, Agile, AI Governance, Project Management, or Digital Transformation.
Minimum Experience Level
  • 7-10 years' experience in financial services, compliance, risk, transformation, strategy, or technology leadership roles.
  • Experience leading large-scale transformation programmes.
  • Demonstrated experience in digital transformation, AI, automation, or data-led initiatives.
  • Experience engaging executive committees and senior stakeholders.
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