General Manager

21 hours ago

Roodepoort, Gauteng, South Africa MTN Full time
Job title : General Manager - Data and Analytics Centre of Excellence Strategy and InnovationJob Location : Gauteng, RoodepoortDeadline : April 17, 2025Quick Recommended Links
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Job Description

Strategy​

  • Define the strategy for the DACOE​
  • Drive Data-as-a-Service and understand the data infrastructure requirements​
  • Develop the strategic data priorities, in line with the overall BU strategy​
  • Create new business opportunities​
  • Provide the overall Big Data strategy and overall value framework, in line with the overall Group strategy​

Operational delivery​

  • Enable informed decision Decision-making​
  • Foster a data-driven culture​
  • Drive Innovation​
  • Collaborate and integrate – work seamlessly with all BU's to integrate data and analytics into every facet of the organization, ensuring alignment and synergy​

Data Science and Advance Analytics​

  • Provide the vision for data ownership, standardisation, accessibility, and governance​
  • Manage data analytics capabilities​
  • Oversee data insights and analytics - drive business value​
  • Business requirements converting them into data requirements​
  • Data analytics to assess the performance of the core channels​
  • Act as an expert - advanced data collection, strategies, tools, mechanisms and processes​
  • Data lifecycle of data and information ​
  • Adoption Data-as-a-Service​

Data Governance​

  • Provide the framework for data Governance and Data Standards teams ​
  • Create and implement the framework for knowledge sharing of policies etc with relevant stakeholders​
  • Manage the lifecycle of data and information​
  • Enforce best practice for security and reliability data management​

Data Capabilities​

  • Oversight for the data infrastructure and architecture for the entire MTN SA ​
  • Oversight and best practice of the Data Architecture ​
  • Improve existing infrastructure​

AI Solution​

  • Lead the development and implementation of AI and machine learning models to address key business challenges.​
  • Oversee the end-to-end lifecycle of AI solutions, from ideation to deployment and continuous improvement.​
  • Identify opportunities to leverage AI for process automation, customer insights, and operational efficiencies.​
  • Ensure AI solutions align with ethical AI principles, ensuring transparency, fairness, and accountability.​
  • Partner with technology teams to integrate AI capabilities into business applications and workflows.​

Operational AI Insights​

  • Establish and oversee the operationalization of AI-driven insights to enhance decision-making and business outcomes.​
  • Develop reporting and analytics frameworks to ensure actionable insights are derived from AI models.​
  • Monitor AI performance and impact, optimizing models for accuracy and efficiency.​
  • Work closely with business units to ensure insights drive tangible value and continuous improvement.​
  • Promote the use of real-time analytics and predictive modeling to enhance business forecasting and strategy.​

Budget Management ​

  • Forecast, plan and develop budgets that provide MTN with return on investment, and seek required approval thereof ​
  • Manage and optimise the assigned budget, ensuring all expenditure is in line with MTN SA's strategic intent and agreed budgets ​

Continuous Improvement​

  • Keep abreast of international best practice, technologies and industry trends.​
  • Proactively research relevant best practice and processes, recommending translation of these in the strategic framework of the unit.​
  • Maintain an understanding of related systems in order to develop integrated systems and processes.​
  • Keep up to date with new products and services and their impact on MTNSA​
  • Understand and take cognisance of emerging markets and plan accordingly​

People & Culture Management​

  • Invest in the continuous development of the team's skills and knowledge, ensuring we remain at the forefront of the evolving data and analytics landscape​
  • Provide technical, procedural and policy guidance to staff, colleagues , partners and vendors​
  • Attract, develop and retain appropriate talent. Build talent by identifying and developing new leaders for the respective environment​
  • Create and implement personal development plans​
  • Define the divisional KPAs and KPIs that will be cascaded down to each area​
  • Manage Performance and identify training needs. Coach and guide subordinates​
  • Enable and model healthy employee relations and collaborative teamwork​
  • Manage diversity, develop, and embed an Employment Equity plan for the business area​
  • Contribute to building a culture of continuous evaluation and improvement. Drive a culture of high performance, accountability and consequence management​
  • Act as an ambassador for the Consumer team by living the Brand values and vital behaviours and changing and influencing employees' behaviour​
  • Make the environment the best place to work. Foster professionalism, loyalty and commitment to the organization. Build the Company's brand to be the employer of first choice​

Qualifications

Education

  • Minimum of 4 year tertiary qualification in Engineering, Data Sciences, Computer Science, IT or Biological Sciences​
  • Masters degree advantageous ​

Experience

minimum 12 years' experience I in data analytics, AI or a related field including:​

  • Minimum 5 years of Senior Management Experience​
  • Minimum 3 years in telecommunications industry​
  • Work across diverse cultures and geographies​
  • Strong understanding of data governance frameworks, AI Technologies and business intelligence tools​
  • Experience implementing AI solutions at an enterprise level​
  • Experience working in a medium to large organization​
  • Experience in data use case management & data integration​
  • Knowledge of regulatory requirements related to data privacy and compliance​
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