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Location
In office (Lagos)
Seniority
Principal · 12+ years exp

Confirmed on the employer's own hiring board on Nov 11, 2026. First seen by Alion on Nov 9, 2026.

Overview
Company
Impact
Profile match
MTN Group is a Johannesburg-based multinational telecommunications company that provides mobile voice, data, fintech, digital, enterprise, wholesale and API services, and is the largest mobile network operator in Africa. Launched in South Africa in 1994, it serves about 317.7 million customers in 19 markets across Africa, runs the MoMo mobile money platform and is listed on the Johannesburg Stock Exchange. The vacancies on this board come largely from its Nigerian operation and cover customer relations, enterprise business, finance, supply chain, information security, regulatory affairs and sales and distribution roles.

Reports To: Chief Information Officer - CIO

Division: Information Technology

Mission:

  • To lead the end-to-end engineering and delivery of software, AI and digital-platform solutions for MTNN, ensuring speed, quality, reliability and reduced vendor dependency.
  • To build and scale in-house product development and engineering capability, delivering new products, services and IT platforms for new business/revenue lines based on the business roadmap.
  • To drive DevOps enablement, middleware services, platform reliability and engineering governance across strategic digital platforms.
  • To oversee solution delivery, quality assurance and management of delivery partners, and to industrialise AI solutions from proof of concept into production.

Description:

  • Lead end-to-end software and AI engineering delivery across strategic digital platforms, in line with the target architecture and standards set by IT Strategy, Architecture & Design.
  • Build and lead in-house product development, working with business product owners to deliver new products and services based on the business roadmap.
  • Drive agile delivery at scale, including release planning, dependency management and delivery governance across squads and delivery partners.
  • Drive DevOps enablement, CI/CD and automation, embedding security-by-design in collaboration with Information Security.
  • Ensure the stability, performance and scalability of middleware and integration services.
  • Ensure platform reliability through engineering for resilience, observability and effective transition to IT Operations.
  • Industrialise AI by taking prioritised AI use cases from proof of concept into scalable, monitored production solutions.
  • Establish engineering governance: coding standards, quality assurance and testing, quality gates and technical-debt management.
  • Develop framework, policies, standards, methodologies and procedures to guide software engineering and delivery.
  • Monitor, review and report delivery performance (e.g. lead time, release frequency, change failure rate, recovery time) and conduct project post-implementation reviews
  • Deliver business value through partnership with MTNN’s ecosystem and delivery partners, managing them against agreed performance standards.
  • Partner with the GM, IT Strategy, Architecture & Design through the design authority, providing delivery insight to inform architecture and roadmaps.
  • Partner with business product owners and IT Operations to ensure solutions meet business needs and are supportable in production.

Education:

  • A first degree in Computer Science, Software Engineering, Engineering, Information Technology or a related discipline.
  • A Master’s degree, preferably an MBA, will be an advantage.
  • Agile, DevOps and/or cloud certifications will be an advantage.
  • Fluent in English

Experience:

A minimum of 12 years of working experience, which includes:

  • Manager track record of 5 years or more, with at least 3 years in the relevant sector or industry.
  • Substantial experience leading software engineering and delivery at scale (agile, DevOps, in-house development).
  • Experience managing delivery partners and vendors.
  • Experience delivering AI/data products is advantageous.
  • Work experience across diverse cultures and geographies is advantageous.
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