Intelligence Match
Match: ??%
Unlock Your Personalized Match
Sign in to see your exact score breakdown and personalized insights.
Team Tagline
About the role
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. 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.
Required Skills
Preferred Skills
Responsibilities
- 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, development, and maintenance of scalable and reliable data pipelines.
- Data Insights & Analytics - including model development and productionisation: Drive the generation of actionable insights from data to support various business functions, including product, marketing, risk, and operations. How can we build Marketing Mix Models for better channel attribution modeling? What is our actual channel per channel mCAC? Which customer segments are more/less engaged? What are our customers’ share of wallet - how can we use this?
- Stakeholder Collaboration: Liaise with marketing, product, and engineering managers to ensure we collect the right data for meaningful business insights. Bring data leadership and rigour to our approach to product development. Build a strategic understanding of the business and structure complex projects to bring them to life.
Job Application Safety Disclaimer
Your security and privacy are our top priorities. Please be aware that InStreamIQ will never ask you to pay any fees for job applications, placements, or training as a condition of employment.
Furthermore, legitimate employers will not ask for sensitive personal identification such as your Bank Verification Number (BVN), National Identification Number (NIN), or Passport details during the initial application phase. Do not share financial information or make any payments to individuals or organizations claiming to represent an employer. If you encounter any suspicious requests, please report the listing immediately via our support channels.