• Strong understanding of data models, data integrity, and end-to-end traceability
• Familiarity with validation strategies in both regulated and non-regulated environments
• Experience with APIs, middleware, and event-based integrations
• Applies data discipline to enable scalable reporting, analytics, automation, and future AI use cases
• Identifies opportunities to automate test data capture, result publishing, and quality reporting
• Comfortable reviewing architecture diagrams, technical specifications, and validation documentation