Partner with AI Engineers, GTA, Enterprise Data Platform, and data engineering teams to productionize solutions and enable reliable, reusable, analysis-ready datasets; identify data quality, coverage, and availability gaps and recommend practical remediation approaches or viable analytical alternatives. Partner with R&D, Quality, Regulatory, and Consumer Insights teams to frame business questions, define decision criteria, identify high-value analytics opportunities, evaluate and prioritize opportunities based on business value, analytical feasibility, data readiness, scalability, risk, and strategic alignment.