General Manager - Data and Analytics Centre of Excellence.Strategy and Innovation

MTN

MTN is Africa’s largest mobile network operator, sharing the benefits of a modern connected life with 288m customers in 18 markets across Africa

Apply now Apply later

Posted 12 hours ago

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

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

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

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats: 0 0 0

Categories: Analyst Jobs Leadership Jobs