Senior Manager - Information Security AI COE

We at MTN Group are a purpose and values-led organisation.

At MTN Group, we believe that understanding our people’s needs and aspirations is key to creating experiences that delight you at work, every day. We are committed to fostering an environment where every member of our Y’ello Family is heard, understood and empowered to live an inspired life.

Our values keep us grounded and moving in the right direction. Most importantly, they keep us honest. It is not something we claim to be. It is in our DNA.

As an organisation, we consider it our mission to create an exciting and rewarding place to work, where our people can be themselves, thrive in positivity and ignite their full potential. A workplace that boosts creativity and innovation, improves productivity, and ultimately drives meaningful results. A workplace that is built on relationships and achieving a purpose that is bigger than us. This is what we want you to experience with us!

Our commitments go beyond an organisational promise. It is in our leadership and managerial ethos to meaningfully partner with our employees, customers and stakeholders with a vision to realise our shared goals.

We are delighted that you are considering us as your career partner to make a mark in the world. We look forward to your application!

We are seeking a Senior Manager - Information Security – AI Centre of Excellence to lead the security pillar of the AI COE and serve as the custodian of MTN's BRAIN policy for safe, secure and responsible AI.

Reporting to the General Manager - AI COE, this role is responsible for leading the design and operation of MTN's AI security strategy, controls and assurance model across Generative AI, machine learning, data pipelines and AI-enabled products.

Key responsibilities include:

  • Leading the AI COE security pillar and embedding BRAIN policy requirements across standards, procedures and product gates.
  • Defining and implementing MTN's AI security strategy and secure architecture standards.
  • Operationalising security guardrails for Generative AI and large language models.
  • Establishing adversarial machine learning defence and AI red teaming capabilities.
  • Driving Secure MLOps and data security practices.
  • Integrating AI security monitoring and incident response with enterprise security capabilities.
  • Aligning AI security controls with applicable policies, standards and regulatory requirements.
  • Partnering across business and technology functions to embed secure-by-design principles into AI-enabled services.
  • Building AI security capability and leading performance reporting, tooling and vendor management.
Minimum qualifications:
  • Bachelor's degree in Computer Science, Engineering or Mathematics.
  • Honours degree is advantageous.
  • Relevant security certifications (such as CISSP or CCSP) and AI or cloud certifications are advantageous.
Experience required:
  • 5–10+ years' experience in cybersecurity or platform security.
  • 3–5+ years securing AI/ML platforms, Generative AI/LLM ecosystems or data-intensive analytics at enterprise scale.
  • Experience establishing security operating models and driving group-wide policy adoption in complex, multi-country organisations.
  • Experience with cloud-native AI platforms, Secure MLOps, AI incident response and AI red teaming.
If you are passionate about securing AI at enterprise scale and have the expertise to drive secure, responsible AI adoption across a complex organisation, we would love to hear from you. Join MTN in leading digital solutions for Africa's progress. Closing date: 24 June 2026 . Late applications will not be accepted.

Disclaimer:

MTN Group is an equal opportunity employer with an imperative and obligation to achieve its own set EE targets and the legislated Employment Equity targets. Preference will first be given to previously disadvantaged individuals/groups with a specific focus on females and differently abled persons.

If you have not heard from us within 14 days of the closure of this job advert, then you can assume your application has been unsuccessful.

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