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  • Posted: May 11, 2026
    Deadline: Not specified
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  • 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.
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    Head, Data Governance

    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.

    go to method of application »

    Product Auditor

    Role Overview

    • The Product Auditor provides independent assurance over the design, implementation, and operating effectiveness of product controls across payment, wallet, settlement, switches, and other related products across the organisation
    • The role ensures that new and existing products are deployed with adequate financial, operational, security, and regulatory controls, safeguarding the organization against revenue leakage, settlement failures, regulatory breaches, and technology-driven risks.
    • The Product Auditor will independently evaluate product risk exposure and control maturity prior to scale.

    Key Responsibilities
    Audit Universe & Risk-Based Planning:

    • Maintain a living Product Audit Universe covering all payment products, features, and integrations ranked by risk. 
    • Own the annual Product Audit Plan, ensuring coverage is allocated dynamically based on risk ratings, product complexity, regulatory sensitivity, and change velocity.

    Product Design & Control Assurance:

    • Review PRDs, business rules, and transaction workflows to identify logic gaps, unmitigated risk paths, and missing exception-handling routines before products reach production/go-live. 
    • Analyse product path scenarios, verify Maker-Checker enforcement, and provide formal control design sign-off before any material release goes live.

    Live Product Assessment ( Continuous Audit Review):

    • Periodically assess live payment products to confirm they continue to operate within approved design parameters. 
    • Detect configuration drift, identify silent divergence from original PRDs, and analyse live transaction data for emerging risk patterns.

    Go-Live Readiness & Control Gate:

    • Execute mandatory pre-production Product Audit reviews as an independent control gate for all material releases. 
    • Confirm reconciliation logic, exception queues, and fallback controls are tested and functional. 
    • Escalate critical deficiencies with risk ratings and hold recommendations where a product is not safe to release.

    Transaction Logic & Mathematical Integrity:

    • Interrogate the Fee Engine using SQL to mathematically prove that commissions, VAT, discounts, and splits are posted with complete precision. 
    • Validate duplicate prevention mechanisms and ensure transaction integrity within complex, multi-step payment sequences, and test reversal, refund, and chargeback logic to confirm financial symmetry is maintained in every scenario.

    Settlement & Ledger Integrity:

    • Trace fund flows, confirming continuous synchronisation between wallet sub-ledgers and the General Ledger. 
    • Assess reconciliation logic for breaks and evaluate the authorisation, documentation, and reversibility of manual settlement overrides.

    Product Change & Configuration Integrity:

    • Confirm that all product modifications: fee tables, routing rules, and limit parameters passed through an approved change management cycle. 
    • Identify silent changes made outside formal release processes and audit the integrity of product master data to ensure it is access-controlled, version-tracked, and consistent with approved product terms.

    Vendor & Third-Party Product Risk:

    • Assess controls over vendor-managed product components, evaluate SLA performance against contractual commitments, and identify single-vendor dependency risks within critical payment flows. 
    • Evaluate the organisation's ability to detect unilateral changes in third-party API behaviour, fee logic, or settlement processes.

    Control Advisory & Stakeholder Engagement:

    • Engage product and engineering teams early in the design cycle to provide informal control advisory, reducing findings at the formal review stage without compromising independence. 
    • Participate in design reviews and architecture discussions, and build a control-by-design culture across product teams. 

    Incident Review, RCA & Regulatory Alignment:

    • Lead post-incident reviews for product failures, producing structured RCA reports that identify underlying logic failures, not just surface symptoms. 
    • Assess corrective actions for adequacy and track findings to verify closure. 
    • Ensure product logic complies with CBN guidelines, PCI DSS, and consumer protection obligations at the design level, and evaluate the regulatory impact of new features before release.

    Reporting & Governance:

    • Prepare risk-rated audit reports for Executive Management and the Audit Committee, leading with findings, financial impact, and required action. 
    • Maintain a Product Risk Register, deliver quarterly control maturity updates, and ensure governance bodies are never surprised by a product failure that was visible at the design or portfolio review stage.

    Qualifications

    • Education: Bachelor’s Degree in Computer Science, Engineering, Mathematics, Finance, or a related quantitative discipline
    • Experience: 3–5+ years in Product Audit, Systems Audit, Financial Data Analytics, or Payment Operations within a fintech or financial services environment
    • Certifications: CISA, CIA, or CFE preferred. ACA / ACCA is acceptable when combined with strong technical product experience and data analytics.
    • Sector Knowledge: Demonstrated hands-on familiarity with payment product architecture, wallet systems, and regulated payment flows in a Nigerian or comparable market context.

    Required Knowledge & Skills:
    Technical Skills:

    • Advanced SQL for independent data extraction and transaction interrogation
    • Payment systems architecture: Wallets, card processing, direct debit, settlement, and reconciliation
    • API and integration literacy (Basic)
    • End-to-end transaction lifecycle knowledge: Authorisation, posting, clearing, settlement, and exception handling
    • PRD and process flow analysis: translating product documentation into control flowcharts
    • Mathematical precision: fee calculations, interest computations, and split payment structures
    • Pattern recognition: detecting anomalies, outliers, and irregularities in large transaction datasets

    Audit & Risk Skills:

    • Risk-based audit methodology: IIA Standards and COSO framework applied to financial products.
    • Control design logic and evaluation
    • Root cause analysis
    • Regulatory knowledge: CBN payment system regulations, PCI DSS, NDPR, Nigerian consumer protection obligations, etc.

    Interpersonal & Professional Skills:

    • Stakeholder engagement
    • Professional scepticism and independence
    • Risk-rated report writing

    Tools & Platforms:

    • SQL (PostgreSQL / MySQL / MSSQL)
    • AdvancedExcel / Google Sheets
    • Claude / AI Tools.

    Method of Application

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