Manager - AI and Digitalization.Network Technologies

The Manager AI & Digitalization partners with the entire business to accelerate and scale MTN’s AI transformation. The role leads the identification, prioritization and industrialization of high‑value AI and digitalization initiatives that improve customer experience, productivity, operational excellence, risk management and revenue growth. Working through influence across functions, the role embeds AI into business processes, products and customer journeys, while ensuring delivery discipline, governance and responsible AI practices so that solutions are deployed safely, securely and compliantly in a regulated telecommunications environment.

Key Duties

• Drive MTN’s AI acceleration and infusion agenda by embedding AI-enabled ways of working across operations and customer journeys to unlock growth and operational renewal.
• Partner with business leaders to discover, shape and prioritize AI use cases with clear value hypotheses, measurable KPIs and defined adoption plans.
• Enable repeatable, scalable AI delivery by defining standards, playbooks and reusable patterns across data, architecture, security and engineering.
• Collaborate with data, platform, architecture and security teams to industrialize AI solutions (MLOps/DevSecOps, monitoring, model lifecycle management) in line with policy and regulatory requirements.
• Build organizational AI fluency and adoption through enablement (training, champions network, communications and change management) to sustain benefits realization.

Education

• Bachelor’s degree in computer science, Data Science, Engineering, Information Systems, Statistics or equivalent

Knowledge & Attributes

Knowledge & Attributes

• Good understanding of the telecommunications industry and key value drivers (customer, network/operations, digital channels, fintech/mobile money where applicable)
  • Strong stakeholder management and ability to influence across business and Technology leadership
    • Practical understanding of AI/analytics concepts and how to translate business problems into data/AI solutions
      • Strong commercial mindset with ability to shape AI initiatives that drive growth, efficiency and customer experience
      • Experience improving reporting/insights through automation and analytics; strong focus on measurable outcomes and decision support

Experience

• 5+ years’ experience in digital transformation, data/analytics, automation or technology delivery roles with business partnership responsibilities
  • 3+ years’ experience leading cross-functional initiatives (portfolio/programme delivery, product ownership, or transformation), with measurable business impact

Professional Competencies

• AI product/portfolio management: ability to prioritize use cases, define benefits, KPIs and adoption measures
  • Business analysis and process redesign skills; ability to translate operational pain points into AI-enabled improvements
    • Programme/project delivery: strong planning, dependency management and stakeholder communication
      • Change leadership: ability to drive adoption, communications and training across diverse teams
      • Governance, risk and controls mindset; ability to operate in regulated environments with strong audit discipline
      • Excellent interpersonal, facilitation and communication skills; able to influence without formal authority
      • Leadership and coaching; ability to build communities of practice and develop AI fluency
      • Strong analytical and reporting skills; able to create executive-ready insights and performance tracking
      • High integrity and disciplined execution; delivers outcomes through structured governance and follow-through

Technical Competencies

• Data & analytics foundations: data modelling, data quality, BI/visualization and KPI design
  • AI/ML and/or GenAI delivery understanding (model lifecycle, evaluation, monitoring, prompt patterns) and awareness of MLOps practices
    • Cloud and integration awareness: APIs, data pipelines, access controls and secure deployment patterns in enterprise environments

Skills & Physical Competencies

Skills & Physical Competencies:

• Professional approach with a can do attitude
  • Innovative, takes initiative, is result oriented and develops self consistently.
    • Leadership, customer centricity, collaborative, ability to coach & develop direct reports
      • Trustworthy, integrity and ethical in dealings
      • Good written and verbal communication, and commitment to the organization
      • Analytical thinking and problem-solving abilities.
      • Global thinker, Improves processes.
      • Listens well
      • Conflict management
      • Excellent negotiation skills.
      • Manages underperformance
      • Good time management

Continuous Risk & Compliance Management & Reporting

• Perform and encourage continuous and effective risk management practice within your activities.
  • Promote risk-based decision taken. Ensure effective escalation of key risks, compliance breach and non-ethical issues.
    • Demonstrate and encourage ethical behaviors. Promote Business continuity best practices and compliance with applicable regulations and internal PPPs (Policy, Process and Procedures).

Must live the MTN Values of

• Can Do with Integrity
  • Lead with care
    • Collaborate with Agility