That means understanding how AI systems are designed and operationalized, using AI-enabled tools in your day-to-day work, and partnering effectively with engineering, analytics, and business teams so the solutions we ship are reliable, responsible, and impactful. When data is wrong, incomplete, or untrustworthy, raise it clearly and navigate the organization to get it resolved, working across data engineering, source system owners, and business partners until the root cause is fixed.