Metadata & Data Lineage Specialist at Moniepoint Incorporated – Lagos

Moniepoint Incorporated is recruiting a Metadata & Data Lineage Specialist in Lagos to make enterprise data easier to discover, interpret and trust. The specialist will put metadata governance and end-to-end lineage frameworks into operation, with a focus on critical data products, regulatory reporting and business processes.

Key responsibilities

• Maintain business glossaries, definitions, metadata ownership and cataloguing standards in DataHub; identify gaps and coordinate governance-approved updates.
• Map and validate end-to-end lineage across source systems, ETL/ELT pipelines, products, reports, customer journeys and downstream data consumers.
• Administer and improve DataHub ingestion processes, monitor jobs and automate metadata collection through integrations and APIs.
• Define metadata quality controls, KPIs and periodic assessments; support data impact assessments and enterprise governance compliance.
• Apply sensitivity and regulatory data-classification metadata and provide lineage evidence to Risk, Compliance and Information Security teams.
• Explore AI-assisted capture, classification and enrichment, and contribute to semantic models, ontologies and knowledge graphs.
• Lead practical workshops and advise data producers and consumers to improve catalogue adoption and data literacy.

Experience and qualifications

• Bachelor’s degree in Computer Science, Information Management, Data Science, Information Systems, Library/Information Science, Engineering or a related discipline.
• Three to six years in metadata management, data governance, data architecture or data engineering, including hands-on use of DataHub, Solidatus, Informatica or a comparable enterprise catalogue.
• Proven experience mapping complex data lineage and working with technical and business metadata, classification and business glossaries.
• Good understanding of SQL, relational databases, APIs, ETL/ELT and contemporary warehouse, lake, cloud, Data Mesh, Medallion or Data Vault 2.0 architectures.
• Familiarity with AI-supported metadata tools, semantic modelling and knowledge graph concepts, alongside strong stakeholder engagement and training skills.
• Experience in fintech, financial services or another regulated industry is desirable. DAMA CDMP, CIMP, DCAM or relevant platform certifications are advantageous.

Measures of success

The role will strengthen accuracy and use of the enterprise catalogue, produce reliable lineage for regulatory and operational needs, increase automated metadata coverage and support organisation-wide DataHub adoption.