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Head, Data Governance

  • Job Type Full Time
  • Qualification BA/BSc/HND
  • Experience 3 years
  • Location Lagos
  • Job Field Data, Business Analysis and AI&nbsp

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

  • Education: A Bachelor degree in Computer Science, Engineering, Mathematics, or a related quantitative field (or equivalent practical experience).
  • 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.

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.

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Method of Application


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