Big Data & Special CVM Projects Specialist

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Role purpose

The Big Data & Special CVM Projects Specialist is responsible for leveraging advanced analytics, machine learning, and customer intelligence to drive sustainable customer and revenue growth across the M Pesa business. The role develops and operationalizes data-driven CVM strategies that improve customer acquisition, engagement, retention, product penetration, and customer lifetime value.

The role is accountable for

• Co-creating and deploying advanced machine learning and artificial intelligence solutions that drive revenue growth, cost optimization, customer retention, and enhanced customer experience.
• Developing big data monetization propositions and managing their end-to-end execution to unlock commercial value from customer data and behavioral insights.
• Delivering actionable customer insights, predictive analytics, and segmentation strategies that support M-Pesa objectives, commercial targets, and business decision-making.
• Designing and optimizing personalized customer lifecycle campaigns, including acquisition, activation, retention, reactivation, cross-sell, and upsell initiatives.
• Driving customer value enhancement through time to action, causal inference, difference in difference propensity modelling, churn prediction and customer journey optimization initiatives.
• Measuring and improving campaign effectiveness through Causal Inferences, advanced analytics, experimentation, and continuous optimization of customer engagement strategies.
• Promoting effective data governance, data quality, and responsible use of customer information while ensuring compliance with regulatory and privacy requirements.

Key accountabilities and decision ownership

• Causal Inference, Transformer Based Modelling, Classical ML Modelling its Lifecycle.
• ETL, Feature Engineering Alternatives & Embedding Infrastructure - AI Product Lifecycle Strategy
• Explainable AI (XAI) & Model Governance
• E2E go to market execution for big data and special projects propositions.
• Identify Analyze and Interpret trends or patterns in complex data sets.

Core competencies, knowledge and experience

• Excellent analytical, logical and casual reasoning skills.
• Strong stakeholder management skills
• Ability to anticipate customer, competitor and market dynamics