Data Lineage Analysis & Maintenance
• Analyse and document end-to-end data lineage across applications, databases, reporting platforms and manual processes.
• Review and validate data lineage against supporting artefacts including process documentation, metadata repositories and business documentation.
• Identify missing lineage components, data transformations, controls, reconciliations and manual intervention points.
• Maintain lineage documentation to accurately reflect data movement, business processes and system interactions.
• Support impact assessments resulting from changes to systems, data models or business processes.
Enterprise Data Governance
• Work with business and technology stakeholders to identify and document Critical Data Elements (CDEs), Key Data Outputs (KDOs), data owners and business definitions.
• Validate Master Authoritative Sources (MAS) and support assessment activities with business stakeholders.
• Ensure lineage documentation aligns with enterprise data governance standards, metadata and business glossaries.
• Support data quality and governance initiatives by identifying control gaps and opportunities for improved governance.