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.
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.
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.
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.
Requirements
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).
Tech Stack
Python
SQL
Vault
Benefits
Culture
We put our people first and prioritise the well-being of every team member. We’ve built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human.
Learning
We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.
Compensation
You’ll receive an attractive salary, pension, health insurance, annual bonus, plus other benefits.