Data Science Manager (Marketing)
Moniepoint - Remote, Spain
Posted Nov 13, 2025
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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Schedule
- Shift type
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- Weekend work
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Application
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Data Science Manager (Marketing) Remote, Spain Who we are Moniepoint Inc. is Africa's all-in-one financial platform, helping 20 million businesses and individuals access seamless payments, banking, credit, cross-border, and business management tools each month. As Nigeria's largest merchant acquirer, we power most of the country's point-of-sale (POS) transactions. Through our subsidiaries, Moniepoint Inc. processes over $250 billion in digital payment transaction value annually. About the role We're looking for a strategic and hands-on Data Science Manager (Marketing) to lead our data initiatives in a high-growth environment. This role is pivotal in driving our data strategy, fostering a data-driven culture, and ensuring the robust infrastructure and insights necessary for our continued success as a leading African fintech. You'll collaborate with our amazing Marketing team and lead a dedicated data team to help execute our marketing strategy. You'll be responsible for building and improving our current capabilities while shaping the future roadmap. We're looking for a hands-on and data-driven strategic leader who can bring fresh thinking and inspire both the team and our customers. Your day-to-day - Strategic Leadership: Be a key leader in building a discipline of exceptional data scientists and analysts. Develop and execute a comprehensive data strategy - design what world class looks like - Team Building & Management: Hire, develop, and retain a high performing team of data professionals - Experimentation: Champion and drive a culture of rigorous experimentation, including A/B testing, to inform product development and business decisions. - Data Pipeline Ownership: Oversee the end-to-end ownership, design,
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