AI Information Scientist

About this role

Responsibilities

• Design and maintain data catalogues for AI projects using platforms such as DataHub, OpenMetadata, Apache Atlas, Collibra, or cloud-native equivalents
• Define metadata schemas and taxonomy standards — type, version, jurisdiction, validity period, confidence tier — so retrieval systems know not just what a document is, but when it applies and how much to trust it
• Assess data quality across client and internal assets using tools like Great Expectations, dbt tests, or Soda; flag stale, superseded, or ambiguous records before they reach the AI layer
• Build and maintain data lineage so every AI-generated output can be traced back to its source, version, and validity period — making outputs auditable, not just accurate
• Design automated ingestion workflows and nightly quality checks that keep catalogues current without constant manual intervention