Moniepoint is a financial technology company digitising Africa’s real economy by building a financial ecosystem for businesses, providing them with all the payment, banking, credit and business management tools they need to succeed.
About The Role
- At Moniepoint, data is the lifeblood of our financial operating system. The Head of Data Governance is a senior leadership role responsible for ensuring that this lifeblood is high-quality, secure, and accessible. You will architect and champion the enterprise-wide data governance framework, transforming how 13 million+ people’s data is managed and protected.
- Reporting to the Head of Enterprise Data, you aren't just a policy writer; you are a cultural catalyst. You will lead a "virtual team" of Data Stewards across the company, ensuring that while they sit within diverse units like Finance or Sales, they operate with a unified, gold-standard approach to data accountability.
About You
- The Architect: You don't just see data; you see the structures that make it reliable. You enjoy building blueprints that balance strict compliance with the speed required by a fast-growing fintech.
- The Influencer: You excel in a "Hub and Spoke" model. You can lead and inspire teams that don’t report to you directly, turning departmental data stewards into a cohesive community.
- The Tech-Fluent Leader: You speak "Engineering" as well as you speak "Business." You understand how to automate governance so it becomes a feature of the workflow, not a bottleneck.
- Ethical Guardian: You are passionate about data privacy (GDPR/NDPR) and believe that responsible data management is a competitive advantage, not just a regulatory chore.
What You Will Get To Do
Strategic Leadership & Framework Design
- Governance Roadmap: Develop and execute a long-term strategy that aligns with Moniepoint’s mission to build the financial OS for emerging markets.
- Policy & Standards: Author and maintain global policies (Privacy, Retention, Naming Conventions) that are clear, actionable, and "Regular Guy" friendly.
- Operating Model: Define our domain-driven structure and clarify data ownership across the company to eliminate ambiguity.
Functional Leadership of the Stewardship Team
- Orchestration: Direct the strategic priorities of Business Unit Data Stewards, ensuring they have the tools and training to succeed.
- Community Building: Create a "Data Governance Academy" to onboard, certify, and mentor stewards across the organization.
- KPI Alignment: Set the functional goals that define what "good" looks like for data quality within each business unit.
Tech Stack & Automation Ownership
- Platform Strategy: Select and manage our governance platforms (e.g., Atlan, Collibra, or Microsoft Purview), ensuring they integrate seamlessly with our data lake.
- Metamodel Design: Configure tools to link business terms to physical technical assets, creating a transparent data lineage.
- Governance-as-Code: Partner with Data Engineering to automate quality checks and PII masking within the CI/CD pipeline.
Risk, Compliance & Culture
- Enterprise DQ Reporting: Build "Data Health Dashboards" for the Executive team to provide visibility into our data reliability.
- Change Management: Lead the cultural shift from "data is IT’s problem" to "data is a strategic business asset."
- Literacy Programs: Develop workshops to empower non-technical staff to read, interpret, and respect data.
Qualifications
- Experience: 9+ years of leadership experience in Data Governance, Data Engineering, or Data Strategy within a high-growth environment.
- Technical Proficiency: Advanced SQL and Python skills are essential. You should be comfortable auditing a data platform directly and working with APIs for automation.
- Framework Expertise: Deep knowledge of modern data architectures (Data Mesh, Data Vault 2.0) and how to apply governance within them.
- Regulatory Knowledge: Intimate familiarity with NDPR, GDPR, and fintech-specific data regulations.
- Education: A Bachelor degree in Computer Science, Engineering, Mathematics, or a related quantitative field (or equivalent practical experience).
What Success Looks Like
- Initial 6 Months: A defined Data Governance roadmap is approved, and the first "Data Health Dashboard" is live for critical data elements.
- The 1-Year Mark: Every major business unit has a certified Data Steward, and automated lineage is active for our core financial products.
- Culture: Data Governance is no longer viewed as a "blocker" but as the foundation that allows our product teams to build faster and safer.
Method of Application
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