Senior Manager AI & Machine Learning

Reference Number:
Senior Manager AI & Machine Learning
Organisation Name:
Group Consumer
MTN Level:
Level 3H

Are you passionate about using your skills to make a difference? Do you enjoy using data and technology to improve the lives of people around you? Do you want an opportunity to influence the future of the continent? If you answered yes to these questions, we have exciting opportunity for you!

The Senior Manager AI & Machine Learning is a part of the Customer Value Management (CVM) function in the Group Consumer Business Division at MTN. The position is primarily responsible for the formulation and rollout of a CVM Artificial Intelligence and Machine Learning strategy in support of digital transformation across the group.

The Senior Manager AI & Machine Learning will report to the General Manager, Customer Value Management. The position will interface with Senior Opco stakeholders, Group Management stakeholders and consumer divisional heads in order to influence the strategic direction of digital transformation using Artificial Intelligence and Machine Learning techniques.

MTN is entering a new phase in its lifecycle where operational and commercial excellence has become critical for success. The urgency for change has become more heightened amidst the pandemic and increased competitive intensity across all markets in which MTN operates. The Senior Manager must therefore ensure the successful delivery in context of:

  • Rapidly changing ICT environment
  • The geographic complexity of MTN’s footprint across Africa and the Middle East
  • Driving growth through business intelligence and standardization to maximize business impact
  • Management of customer and supplier expectations
  • Enhance MTN position as a leading network and system provider
  • Constant dynamics and local challenges in the economic, regulatory and legal environments

The Senior Manager AI & Machine Learning will be responsible for the following Key Performance Areas:

Strategy Development and Implementation

  • Lead the formulation of a CVM AI & ML sub-divisional strategy in line with overarching divisional goals with emphasis on client experience (internal and external)
  • Ensure effective implementation of sub-divisional strategy by means of providing direction, structure, business plans and support
  • Development of a community and ongoing guidance to progress the maturity of Artificial Intelligence and Machine learning across the group

Data Modelling

  • Research and develop custom data models and algorithms that address key business problems
  • Lead the analytics community as a senior guide towards translating goals into data analytical models that generate business value
  • Design and develop analytics models in a way that can be industrialised across the group leveraging standardised Big Data and cloud technologies

Data Analysis

  • Use Big data analytics and advanced data mining techniques to analyse data specific to Ai/ML programmes
  • Identify trends, patterns and discrepancies in data and determine additional data needed to support insight specific to Ai/ML programmes
  • Analyse data from OpCo databases to drive optimisation and improvement of data quality and compliance

Consumer Business Operational

  • Set up and manage project status meetings
  • Review and identify key risks, issues, and dependencies and set mitigation actions
  • Manage budgets
  • Sign off / make decisions regarding operational changes


  • Review performance against agreed KPIs and compliance to SLAs
  • Create and monitor plan for continuous improvement Review performance of teams


  • Review and submit reports addressing periodic activity, budget compliance, feedback and key OpCo results to support decision making
  • Prepare reports on operational performance and detailed reports on specific programmes when required
  • Communicate to the senior leadership team and OpCos on the various predictions and findings through effective data visualisations and reports

Operational Delivery (Customer Value Management)

  • Development, operationalisation and maintenance of Ai/ML recommendation models in support of decisioning frameworks across the OpCo footprint using Big Data and Cloud technologies
  • Alignment and collaboration with CVM teams throughout the OpCo footprint to determine Model roadmaps that support use cases relative to ‘contextual” business problems
  • Development of prototype code for automated training and scoring of Ai/ML models
  • Makes use of data visualisation to engage varying audience on the benefits and results of implemented models toward busines goals
  • Alignment and collaboration with Group and OpCo technology / BI counterparts to agree roadmaps for data ingestion and productionising / automation of models
  • Support the community and OpCos to ensure that data is of an appropriate quality for the development and operationalisation of models
  • Guidance and support for the community and OpCos on model evaluation, corrective measures and technical guidance for value generation
  • Work with local CVM teams to co-create use cases in support of local business problems that are pragmatic and generate impact, relative to maturity levels
  • Support the transformation and maturity of the CVM function towards embedded principles of data-driven decisioning towards consolidated recommender systems across functional growth curves

Collaboration / Coordination

  • Collaborate with various stakeholders throughout the group to identify opportunities to monetise data and drive business solutions
  • Collaborate with other group functions across the business and OpCos to ensure value realisation from models, algorithms and software in support of solving business problems
  • Collaborate with Group Management Services/Group Technology and Opco leaders to add and / or modify suite of services/support provided and develop standard templates and reports
  • Manage enterprise-wide programmes and initiatives across the group


Job Requirements


  • Degree in Mathematics, Statistics, Computer Science or Engineering, Statistics, Artificial Intelligence, Machine learning, Big Data or related quantitative fields of study
  • Post-graduate degree an advantage (Advantageous)


  • 5+ years of relevant work experience in a global / multinational business environment (e.g. Banking, Telecommunications) (understanding of emerging markets advantageous)
  • Experience in leading change / transformation (marketing) at an operational level (Advantageous)
  • Experience in leading innovation and continuous improvement through the implementation of best practices
  • Experience in data-driven decisioning and marketing techniques
  • Experience in working in fast-paced environments across multiple geographies and contexts
  • Excellent communication and presentation skills

Technical Competencies:

  • Ability to extract insights from large quantities of structured and unstructured data using appropriate tools and platforms (e.g., SQL, Hadoop, Google cloud etc.)
  • Programming skills in at least one language for the development of models addressing business problems (e.g., Python, R, SQL, C++ etc.)
  • Experience with statistical modelling software (e.g., SAS) and advanced analytics techniques (e.g., k-means segmentation, forecasting, regression, classification models etc.)
  • Experience in Data visualisation tools (E.g., Power BI, Tableau etc.)
  • Knowledge of Big Data platforms and open-source solutions


  • Strategy Implementer, Decisive Problem Solver, Best Practice Value Creator
  • Culture and Change Champion, Relationship Builder
  • Results Achiever, Operationally Astute
  • Influencer that can add value and make a significant difference to the organisation
  • Analytical
  • Data interpretation
  • Decision making
  • Negotiations & Communications
  • Reporting


  • Adaptable
  • Culturally aware
  • Emotional maturity
  • Innovation
  • Relationship building
  • Willingness and ability to travel to OpCo’s
  • MTN’s Values