Data Science Manager (Marketing) at Moniepoint

At Moniepoint we build modern financial services that power payments, banking, credit, and financial management for millions of people and businesses across high-growth markets. Our mission is to enable financial happiness for every African, everywhere, and we are expanding our product, engineering, and analytics teams to support this vision. We onboard over a million new customers each month and process hundreds of billions of dollars in payments annually, working alongside leaders from companies such as Glovo, Bolt, Monzo, Klarna, Checkout.com, and Tide.

We are seeking a strategic and hands-on Data Science Manager (Marketing) to lead our data initiatives in a high-growth environment. In this role you will shape our data strategy, foster a data-driven culture, and build the infrastructure and insights that support our continued success as a leading African fintech. You will collaborate closely with our Marketing team and guide a dedicated group of data professionals to execute and refine our marketing strategy while defining the future roadmap.

Key outcomes

• Lead the development of a world-class data science and analytics function, setting standards for excellence and defining what success looks like.
• Hire, coach, and retain a high-performing team of data professionals who deliver measurable impact across the organisation.
• Champion rigorous experimentation, including A/B testing and advanced frameworks, to guide product development and business decisions.
• Oversee the end-to-end design, development, and maintenance of scalable, reliable data pipelines that support marketing and broader business needs.
• Generate actionable insights through model development and productionisation, including Marketing Mix Models, channel attribution, customer engagement analysis, and share-of-wallet metrics.
• Partner with marketing, product, and engineering leaders to ensure the right data is collected and used to drive strategic decisions.

Requirements

• At least eight years of overall experience in data science or analytics, including a minimum of two years in management or data leadership roles, with demonstrated strength in strategy, execution, and team development.
• Proven expertise in experimentation methodologies and A/B testing frameworks, including multivariate testing, geo-holdouts, and variance reduction techniques.
• Hands-on experience designing and architecting data pipelines using ETL and ELT processes, particularly on cloud platforms such as Clickhouse and BigQuery.
• Strong proficiency in Python and SQL, with the ability to select the appropriate tool for each task and guide others in doing the same.
• Excellent analytical, problem-solving, and communication skills, with the capacity to explain complex findings to diverse audiences.
• Experience working with marketing and advertising data from platforms such as Facebook.
• Fluency in English.

Preferred qualifications

• Experience in the fintech sector or other high-growth, data-intensive industries.
• Familiarity with additional data tools and technologies relevant to marketing analytics and experimentation.

Compensation

We offer competitive compensation that includes individual performance bonuses and firmwide performance bonuses. Additional benefits include flexible work arrangements, company-covered health insurance plans, pension plans, and continuous learning and career growth opportunities.

How to apply

If this opportunity aligns with your experience and ambitions, we invite you to apply. Our hiring process begins with a preliminary phone call with one of our recruiters, followed by an introductory discussion with the Director of Data Science, a take-home task, a business case study, a live technical coding interview, and a culture-fit conversation. We look forward to learning more about how you can contribute to our mission.