Vodafone Global Enterprise is part of the Vodafone Group, dedicated to simplifying the management of global communications for the world's largest multi-national companies.
Specialists in enterprise mobility, Vodafone Global Enterprise focuses on implementing mobility strategies and solutions tailored to the needs of global corporations - enabling them to fo...
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Role Purpose/Business Unit:
- The LEA Technical Specialist provides advanced technical, operational, and compliance support to the LEA function. The role ensures high‑quality service delivery, reliable operation of LEA related systems, and strict adherence to legal and regulatory requirements.
- A strong background in network operations, including RAN, Core, Transmission, and related platforms, is essential to support accurate data retrieval, network‑based inquiries, and technical liaison with Law Enforcement Agencies.
Your responsibilities will include:
Quality Assurance & Compliance
- Oversee quality control of all technical outputs to ensure accuracy and regulatory compliance.
- Ability to provide expert evidence in courts across the country relating to call data
- Ensure strict adherence to all laws governing the disclosure of subscriber, billing, and network information.
- Maintain full compliance with Vodacom policies, security frameworks, and State Security Agency (SSA) clearance requirements.
- Provide expert technical support to LEAs during standby periods and high‑priority cases.
Stakeholder Engagement
- Act as a trusted technical liaison for Law Enforcement Agencies, providing clear and accurate explanations of network behaviour, system capabilities, and data outputs.
- Build and maintain professional relationships with LEAs and internal technical teams (RAN, Core, Transmission, IT).
- Communicate complex network concepts in a manner understandable to non‑technical stakeholders.
Technical Infrastructure Management
- Support, maintain, and optimise systems used for LEA requests (e.g., location-based systems, subscriber information platforms, mediation layers).
Provide network operational insight, including:
- GSM/UMTS/LTE/5G radio behaviour
- Network topology interpretation (RAN, Core, IP transport)
- Transmission routes and coverage footprints
- Liaise with Network Operations teams to validate network performance, outages, and anomalies relevant to LEA requests.
- Investigate and validate cell data, KPIs, and logs when required for case accuracy.
Process Development and Operational Efficiency
- Identify gaps in LEA technical workflows and propose innovative solutions for improvement.
- Implement best practices in network data quality, compliance monitoring, and system management.
- Drive continuous improvement of LEA systems and operational processes.
- Support automation and simplification initiatives.
The ideal candidate is a technically strong professional with mobile network operational experience, a disciplined compliance mindset, and the ability to interact confidently with both technical teams and Law Enforcement Agencies. They bring deep understanding of network behaviour, excellent analytical skills, and the ability to maintain service quality under strict regulatory conditions.
Education
- Matric/Grade 12 (Essential)
- Diploma or relevant qualification in Electronic Engineering or equivalent (Essential)
- Knowledge in Radio Access and Network Planning (Essential)
Experience
3–5 years technical experience in mobile network operations (Essential)
- RAN Operations / Radio Planning
- Core Operations
- Transmission/IP/MPLS environment awareness
- Experience in telecommunications, IT systems, or compliance environments (Preferable)
- Prior experience working with sensitive data, secure systems, or regulated processes (Advantageous)
Core competencies, knowledge, and experience:
Technical Skills
- Strong understanding of GSM/3G/LTE/5G networks (Essential)
- Radio Planning & Optimisation knowledge (Essential)
- Atoll/Sonar map plotting and coverage analysis (Essential)
- Basic system, network, and platform troubleshooting (Essential)
- IT systems knowledge, including databases and reporting tools (Preferable)
- Strong analytical, investigative, and problem‑solving abilities
- Ability to interpret network performance data, cell locations, and service behaviour
Professional Competencies
- High attention to detail with a strong compliance and quality mindset
- Ability to work under pressure, manage multiple priorities, and meet regulatory timelines
- Excellent communication skills, including the ability to translate technical language for non‑technical stakeholders
- Integrity, confidentiality, and discretion in handling sensitive information
- Ability to obtain and maintain Top Secret Clearance from the State Security Agency (SSA).
We make an impact by offering:
- Enticing incentive programs and competitive benefit packages
- Retirement funds, risk benefits, and medical aid benefits
- Cell phone and data benefits, advantages fibre connection discounts, and exclusive staff discounts offered in collaboration with partner companies
Closing date for Applications: 24 April 2026.
go to method of application »
Role Purpose/Business Unit:
- To manage and implement telecom fixed or mobile Networks technology resilience principles and best practice across all Vodacom markets and Subsidiaries with more than 50% ownership, referred to as entities.
- To ensure that new and revised Vodafone Network resilience & Competitiveness policies, guidelines, standards and requirements are communicated and implemented by technology groups across all Vodacom markets.
- To draft specific Vodacom Group technology resilience policies and related procedures applicable to all Vodacom entities.
- To enhance existing procedures, standards and guidelines to develop and maintain technical recovery plans and procedures and implement enhanced procedures and solutions.
- To ensure that knowledge regarding technology resilience concepts and requirements is transferred to the Vodacom entities.
- To develop and maintain a technical recovery toolkit to ensure implementation of effective technical recovery plan maintenance including Technology Impact Assessment (TIA) and the interface with business-as-usual processes and systems.
- To develop resilience strategies applicable to technologies supporting critical services across Vodacom entities.
- To perform risk reviews using a consistent methodology on technologies that support Vodacom’s critical services and to evaluate single points of failures and threats which could cause service level unavailability.
- To implement cost effective solutions whilst considering optimal design criteria for resilience and mitigating critical risks.
- To liaise with all technology groups across the Vodacom entities and Subject Matter Experts (SME) to ensure that adequate resilience and redundancy arrangements are in place for current and future technologies.
- To develop and execute end-to-end testing strategies to ensure an auditable and proven recovery capability for Vodacom’s technologies supporting its critical services.
- To create position papers with regards to technology resilience for the organisation.
- Effectively pursue improvement opportunities through research while ensuring consistency across multiple functional areas.
- To perform research in the field of business continuity and maintain expert knowledge within the field on current legislative, risks, technology and industry best practice.
- To undertake other projects as required under the control of the Executive head: Business Resilience.
Your responsibilities will include:
- To manage and coordinate the Network Resilience & Competitiveness policy requirements across the Vodacom Group AMAP community.
- To ensure that all related technology resilience objectives and topics are driven through the Group Technology Resilience Governance Board and senior management structures.
- To ensure that technology risks, policy sub-risks and associated single points of failure are assessed, managed, monitored and mitigated in cooperation with the business and enterprise risk management. To implement selected cost-effective mitigation controls.
- To assist in the development and optimisation of resilience strategies in line with Vodafone design guidelines across the Vodacom entities.
- To research specific industry trends and update applicable procedures, standards and guidelines and maintain the toolkit to ensure the successful maintenance and testing of technology recovery strategies and systems.
- To enhance methodologies and information systems through innovation to support, assist and guide network design and planning to ensure conformance to policy and good practice.
The ideal candidate for this role will have:
- A degree or equivalent qualification in telecommunication engineering (essential)
- MBA will be advantages.
- Additional professional relevant certification will be an advantage including PECB Certified Lead Disaster Recovery Manager
Core competencies, knowledge, and experience:
- Minimum of 8 years’ experience within Mobile and Fixed Line technology architecture and or engineering (essential)
- 3–5 years’ experience in technology resilience and related projects (essential)
- Managing of highly professional teams (essential)
- Have in-depth knowledge of Vodacom’s Mobile and Fixed line architecture and domain functions (advantage)
- Experience in Business Continuity Management and knowledge of ISO22301 and BCI Good Practice Guidelines (advantage)
- Willing to travel (up to 40% of time within Africa.)
We make an impact by offering:
- Enticing incentive programs and competitive benefit packages
- Retirement funds, risk benefits, and medical aid benefits
- Cell phone and data benefits, advantages fibre connection discounts, and exclusive staff discounts offered in collaboration with partner companies
Closing date for Applications: 07 May 2026.
go to method of application »
Role Purpose/Business Unit:
- To manage and implement IT Resilience and Payment Services technology resilience principles and best practice across all Vodacom markets and Subsidiaries with more than 50% ownership, referred to as entities.
- To ensure that new and revised Vodafone IT Resilience & Transformation policies, guidelines, standards and requirements are communicated and implemented by technology groups across all Vodacom markets.
- To draft specific Vodacom Group technology resilience policies and related procedures applicable to all Vodacom entities.
- To enhance existing procedures, standards and guidelines to develop and maintain technical recovery plans and procedures and implement enhanced procedures and solutions.
- To ensure that knowledge regarding IT and Payment resilience concepts and requirements is transferred to the Vodacom entities.
- To develop and maintain a technical recovery toolkit to ensure implementation of effective technical recovery plan maintenance including Technology Impact Assessment (TIA) and the interface with business-as-usual processes and systems.
- To develop resilience strategies applicable to technologies supporting critical services across Vodacom entities.
- To perform risk reviews using a consistent methodology on technologies that support Vodacom’s critical services and to evaluate single points of failures and threats which could cause service level unavailability.
- To implement cost effective solutions whilst considering optimal design criteria for resilience and mitigating critical risks.
- To liaise with all technology groups across the Vodacom entities and Subject Matter Experts (SME) to ensure that adequate resilience and redundancy arrangements are in place for current and future technologies.
- To develop and execute end-to-end testing strategies to ensure an auditable and proven recovery capability for Vodacom’s technologies supporting its critical services.
- To create position papers with regards to IT technology resilience for the organisation.
- Effectively pursue improvement opportunities through research while ensuring consistency across multiple functional areas.
- To perform research in the field of business continuity and maintain expert knowledge within the field on current legislative, risks, technology and industry best practice.
- To undertake other projects as required under the control of the Executive head: Business Resilience.
Your responsibilities will include:
- To manage and coordinate the IT Resilience & Transformation and applicable Payment Services policy requirements across the Vodacom Group AMAP community.
- To ensure that all related IT and Payment resilience objectives and topics are driven through the Group Technology Resilience Governance Board and senior management structures.
- To ensure that technology risks, policy sub-risks and associated single points of failure are assessed, managed, monitored and mitigated in cooperation with the business and enterprise risk management. To implement selected cost-effective mitigation controls.
- To assist in the development and optimisation of resilience strategies in line with Vodafone design guidelines across the Vodacom entities.
- To research specific industry trends and update applicable procedures, standards and guidelines and maintain the toolkit to ensure the successful maintenance and testing of technology recovery strategies and systems.
- To enhance methodologies and information systems through innovation to support, assist and guide network design and planning to ensure conformance to policy and good practice.
The ideal candidate for this role will have:
- A BSC degree or equivalent qualification in IT (essential)
- MBA will be advantages
Additional professional relevant certification will be an advantage including:
- PECB Certified Lead Disaster Recovery Manager
- Certified Information Systems Auditor (CISA) or Certified Cloud Security Professional (CCSP)
Core competencies, knowledge, and experience:
- Minimum of 8 years’ experience within IT architecture and related function (essential)
- 3–5 years’ experience in IT resilience and related projects (essential)
- Managing of highly professional teams (essential)
- Have in-depth knowledge of Vodacom’s IT and Payment architecture and domain functions. (advantage)
- Experience in Business Continuity Management and knowledge of ISO22301 and BCI Good Practice Guidelines (advantage)
- Willing to travel up to 40% of time within Africa
We make an impact by offering:
- Enticing incentive programs and competitive benefit packages
- Retirement funds, risk benefits, and medical aid benefits
- Cell phone and data benefits, advantages fibre connection discounts, and exclusive staff discounts offered in collaboration with partner companies
Closing date for Applications: 07 May 2026.
go to method of application »
Role Purpose/Business Unit:
- Proactively manage relationships across all ASOC operations to manage, track, monitor, analyse, control and report on the performance of the mobile CDN network resources using available tools.
Your responsibilities will include:
- Monitoring, tracking, analysis, controlling and reporting of the network performance of the core packet network using all available tools
- Support the onboarding of new nodes and interfaces
- Stakeholder engagement and relationship management
- Ensure data in available tools are at a high level of accuracy – focus on automation
- Undertake root cause analysis for complex major incidents and escalated faults
- Communicate effectively to internal and external customers
The ideal candidate for this role will have:
- 3 year Graduate Degree in Engineering, Data Analytics or equivalent Diploma
- 3+ years’ experience mobile core networks (2G/3G/4G/5G)
Core competencies, knowledge, and experience:
- Proven statistical analysis skills
- Effective problem-solving skills and ability to collaborate with team members to deliver results
- Innovation
- Experience with Vodacom performance management tools (advantage)
- Experience in Vodacom probe tools and application (advantage)
We make an impact by offering:
- Enticing incentive programs and competitive benefit packages
- Retirement funds, risk benefits, and medical aid benefits
- Cell phone and data benefits, advantages fibre connection discounts, and exclusive staff discounts offered in collaboration with partner companies
Closing date for Applications: 24 April 2026
go to method of application »
Role Purpose/Business Unit:
- We are looking for an experienced Senior Data Scientist to join our team. The successful candidate will be responsible for designing and implementing credit scorecards using machine learning models, using big data tools such as Spark and Python to analyze large volumes of data, and developing algorithms that drive business decisions.
- The candidate must have excellent skills in mathematics, statistics, and AI, as well as a keen interest in data science and problem-solving.
Your responsibilities will include:
- Develop and maintain credit scorecards and risk assessment models to evaluate the creditworthiness of customers applying for handset financing and loan facilities.
- Conduct thorough statistical analysis to identify relevant credit risk indicators and patterns, using large datasets.
- Collaborate with cross-functional teams, including data scientists and business stakeholders, to gather requirements and fine-tune credit scorecard models according to business needs.
- Developing predictive models with large and varied datasets, working with a community of colleagues across Big Data and customer functions.
- Contributing to the wider community to enable Machine Learning and AI capability across Vodafone globally.
- Development of machine learning models for various areas of the business on the Big Data Platform
- Development of prototype code in e.g. PySpark for automated training and scoring of the machine learning models
- Machine Learning Model performance tracking and reporting using e.g. Qlik
- Uses data visualisation to engage audience in a compelling way, enabling effective storytelling
- Work with lead data scientist to deliver key packages of work to meet the needs of business customers
- Works in partnership with Big Data Engineering for data ingestion to support use cases
- Works in partnership with Big Data Production Data Engineering for model automation and productionising
- Deploy models in Containerized Environments using tools such as Docker and Kubernetees , allow for on-prem and on Cloud Deployment.
- Developing insightful dashboard to enable faster decision making
- Identifying new data sources and evaluate emerging technologies for data discovery usage.
- Mentoring young data scientists in the team, presenting the results to technical and non-technical audiences
The ideal candidate for this role will have:
- Bachelor’s or Master’s Degree in quantitative fields like Mathematics, Statistics, Economics, Computer Science Engineering, Artificial Intelligence or related fields (essential)
- A minimum of 5 years relevant experience in Data Science
- Experience working with and managing a team of junior data scientists
- Experience in data manipulation: use of structured data tools (e.g., SQL), and unstructured data platforms (e.g., Hadoop, Spark, NoSQL)
- Proficiency in at least one relevant programming language
- Experience in major machine learning modelling libraries (e.g., H2O, scikit-learn, PyTorch, Tensorflow) and techniques (e.g. random forest, gradient boosting, k-means segmentation, multiple regression, factor analysis, time-series forecasting)
- Exposure to cloud native deployment of models and working with Containerised technologies such as Docker and Kurbernetees.
- Knowledge of MLOPS concepts and deployment of models through batch and real-time architectures. Use of Technology such as (MLFLOW and Apache Airflow)
- Familiarity with visualisation tools (e.g. Tableau, Qlik, D3, Apache Superset, Plotly)
- Exposure/interest in machine learning
- Professional and/or academic experience in Big Data analytics & deployment of models and algorithms to solve real-world problems (with deep statistical and machine learning modelling expertise)
- Experience manipulating and analysing large and complex datasets /
- Experience in visualisation, creating graphical static and interactive displays of data that clearly communicate insight (preferred)
- Good interpersonal communication and presentation skills
- Ability to work in a fast-paced environment
- Analytical and expansive thinking with a strong desire to deliver and develop
Key Skills
- Credit Scorecard Development: Proven experience in developing credit scorecards in the financial services or telecommunications industry.
- Statistical Analysis and Modeling: Data Scientists should have a strong background in statistical methods and modeling techniques. This includes knowledge of regression analysis, time series analysis, hypothesis testing, and other relevant statistical tools to develop accurate credit risk models.
- Machine Learning and Data Mining: Proficiency in machine learning algorithms and data mining techniques is crucial for building predictive models and identifying patterns in large datasets.
- Programming Skills: Data Scientists should be proficient in programming languages commonly used in data analysis, such as Python (prefered) or R. Additionally, familiarity with libraries and frameworks like scikit-learn, TensorFlow, or Keras is beneficial.
- Data Manipulation and Visualization: Data cleaning, preprocessing, and transformation are critical steps in credit risk modeling. Experience with data visualization tools (e.g., Matplotlib, ggplot, or Tableau) is also valuable to communicate results effectively.
- Domain Knowledge in Credit Risk: Understanding the financial industry, credit risk principles, and relevant regulations is essential. Knowledge of credit scoring, credit scoring models (e.g., logistic regression, decision trees), and default prediction is a must.
- Database and SQL Knowledge: Data Scientists should be comfortable working with relational databases and be adept at writing complex SQL queries to retrieve and manipulate data.
- Big Data Technologies: Familiarity with big data technologies such as Hadoop, Spark, or NoSQL databases can be advantageous when dealing with large-scale credit risk datasets.
- Model Validation Techniques: Experience in model validation and performance evaluation is crucial to ensure the accuracy and reliability of credit risk models.
- Risk Management Concepts: Understanding risk management concepts, including Basel Accords (Basel I, II, III) and stress testing, is beneficial for developing models that comply with regulatory standards.
- Business Acumen: Data Scientists should have a strong business acumen to understand the implications of credit risk models on a company's overall strategy and decision-making process.
- Collaboration and Communication: Effective communication skills are essential for Data Scientists to explain complex models and insights to non-technical stakeholders, including business leaders and risk management teams.
- Continuous Learning: The field of data science and credit risk modeling is constantly evolving. Data Scientists need to stay updated with the latest advancements, research, and best practices in the industry.
We make an impact by offering:
- Enticing incentive programs and competitive benefit packages
- Retirement funds, risk benefits, and medical aid benefits
- Cell phone and data benefits, advantages fibre connection discounts, and exclusive staff discounts offered in collaboration with partner companies
Method of Application
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