Data Science Manager (Marketing)

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, 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.

We would love to hear from you if

• What we’re doing here at Moniepoint excites you!
• You have proven experience (typically 8+ years overall and +2 years in management / in data leadership roles), with a strong focus on strategy, execution, and team management. You love coaching and make everyone better around
• you.
• You’ve expertise in experimentation methodologies and A/B testing frameworks (multivariate, geo-holdouts, etc, variance reduction techniques)
• You can create data pipelines (including designing/architecting them - ETL/ELT) - especially using cloud platforms (we use Clickhouse and Bigquery here)
• You’re confident with data Science tools languages (Python and SQL). You know when to pick the right tool, and can help others do the same
• Strong analytical, problem-solving, and communication skills - you can describe the problem, solve it, and relay it back to a wide array of audiences
• You love working in marketing and using advertising data from platforms such as Facebook 

What Moniepoint Can Offer You 

• The opportunity to drive financial inclusion and shape the future of the African financial ecosystem 
• The chance to work on innovative and impactful projects
• A dynamic, diverse, and collaborative environment where every team member’s voice is recognized and valued 
• Flexible work arrangements
• Continuous learning and career growth opportunities
• Competitive salary, individual performance bonuses, and firmwide performance bonus 
• Company covered health insurance plans
• Pension plans 

What to expect in the hiring process

• A preliminary phone call with one of our recruiters
• An intro call with the Director of Data Science 
• Take-home task (hands on coding / marketing modelling case study)
• A business case study with our Head of Marketing Strategy & Data
• A live technical coding interview with our Director, Data Science
• A 60 min culture fit interview with our Director, Data Science

Moniepoint is an equal-opportunity employer. We believe diversity makes us stronger and are committed to creating an inclusive environment for all employees and candidates.

#LI-Remote