Big Data & Special CVM Projects Specialist Job Vacancy at Vodacom – November 2026

Company: Vodacom Tanzania
Position: Big Data & Special CVM Projects Specialist
Department: M-Pesa
Job Category: ICT / Data Science / Analytics / Telecommunications
Job Type: Not specified
Location: Not specified in the provided advertisement.

About Vodacom

Vodafone is a leading international telecommunications company serving millions of customers worldwide.

The company uses technology and connectivity to empower individuals, businesses and communities. It is committed to building an inclusive working environment where employees from different backgrounds, cultures and abilities feel valued and supported.

Through its telecommunications and digital financial services, Vodacom continues to drive innovation and improve customer experiences.

About the Role

The Big Data & Special CVM Projects Specialist will be responsible for leveraging advanced analytics, machine learning and customer intelligence to drive sustainable customer and revenue growth across the M-Pesa business.

The successful candidate will develop and operationalize data-driven Customer Value Management (CVM) strategies to improve customer acquisition, engagement, retention, product penetration and customer lifetime value.

The role will involve developing artificial intelligence and machine learning solutions, identifying commercial opportunities from customer data, designing personalized customer campaigns and delivering actionable insights to support business decisions.

The position will also promote effective data governance, data quality and responsible use of customer information while ensuring compliance with regulatory and privacy requirements.

Key Responsibilities and Accountabilities

The successful candidate will be responsible for the following:

1. Advanced Analytics and Machine Learning

• Co-create and deploy advanced machine learning and artificial intelligence solutions.

• Develop solutions that drive revenue growth, cost optimization, customer retention and improved customer experience.

• Apply predictive analytics and advanced modelling techniques to support business objectives.

2. Big Data Monetization

• Develop big data monetization propositions.

• Manage end-to-end execution of data monetization projects.

• Identify commercial opportunities using customer data and behavioural insights.

3. Customer Intelligence and Analytics

• Deliver actionable customer insights, predictive analytics and segmentation strategies.

• Support M-Pesa business objectives, commercial targets and decision-making.

• Identify, analyse and interpret trends and patterns in complex datasets.

4. Customer Value Management (CVM)

• Design and optimize personalized customer lifecycle campaigns.

• Develop strategies covering customer acquisition, activation, retention and reactivation.

• Drive cross-selling and upselling initiatives.

• Improve customer lifetime value and product penetration.

5. Predictive Modelling and Customer Journey Optimization

• Apply causal inference and propensity modelling techniques.

• Implement difference-in-differences analysis and churn prediction models.

• Optimize customer journeys and improve time-to-action strategies.

• Identify opportunities to enhance customer engagement and commercial performance.

6. Campaign Performance and Optimization

• Measure and improve campaign effectiveness using causal inference, advanced analytics and experimentation.

• Continuously optimize customer engagement strategies.

• Use analytical findings to improve campaign outcomes and business performance.

7. Data Governance and Compliance

• Promote effective data governance and data quality management.

• Ensure responsible use of customer information.

• Maintain compliance with applicable regulatory requirements and data privacy standards.

Key Accountabilities and Decision Ownership

The position requires technical and strategic ownership in the following areas:

• Causal inference, transformer-based modelling and classical machine learning modelling throughout the model lifecycle.

• Extract, Transform and Load (ETL) processes.

• Feature engineering alternatives and embedding infrastructure.

• Artificial Intelligence (AI) product lifecycle strategy.

• Explainable Artificial Intelligence (XAI) and model governance.

• End-to-end go-to-market execution for big data and special project propositions.

• Identification, analysis and interpretation of trends and patterns in complex datasets.

Core Competencies, Knowledge and Experience

Applicants should demonstrate the following competencies:

• Excellent analytical, logical reasoning and causal reasoning skills.

• Strong stakeholder management skills.

• Ability to anticipate customer needs, competitor activities and market dynamics.

• Ability to challenge existing practices and introduce innovative solutions.

• Strong commercial awareness and customer intelligence capabilities.

• Ability to translate complex data insights into actionable business strategies.

Academic Qualifications and Professional Experience

Educational Qualifications

• Bachelor’s Degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering, Actuarial Science, Artificial Intelligence or another related quantitative discipline.

• A Master’s Degree in Data Science, Analytics, Artificial Intelligence, Business Analytics or an MBA will be an added advantage.

Professional Experience and Technical Skills

• Minimum of 5–7 years of experience in Big Data Analytics, Data Science, Customer Analytics, Customer Value Management (CVM), Machine Learning or Commercial Analytics.

• Advanced proficiency in SQL and data querying tools.

• Practical experience using Python, Spark, Databricks or equivalent analytics tools.

• Experience working with Big Data platforms, cloud analytics environments and machine learning frameworks.

• Strong understanding of Fintech ecosystems.

• Demonstrated experience developing and deploying predictive models in production environments.

About the Working Environment

Vodafone is committed to diversity, equal representation and inclusion across its workforce.

The company encourages applications from individuals with different backgrounds and abilities. Applicants who require reasonable adjustments or accessibility support during the recruitment process, including additional time or breaks during online assessments, can review the company’s guidance below.

Recruitment Accessibility Support:
https://careers.vodafone.com/application-adjustments/

How to Apply

Interested and qualified candidates should submit their applications through the official Vodafone careers portal.

Official Application Link:

CLICK/TAP HERE TO APPLY:

Applicants are advised to review the qualifications, technical requirements and experience expectations carefully before submitting their applications.

Application Deadline: Not specified in the provided advertisement.