Head, Data Protection at Moniepoint Inc.

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.