Lei Jiang is a Senior Manager of Data Analytics at Johnson & Johnson, where she leads initiatives that leverage claims, clinical, and real-world data to drive insights across digital health and product quality. With a background in chronic disease epidemiology and applied machine learning, she has built predictive models for disease progression, patient segmentation, and outcomes analysis across roles at Abbott, CVS Health, and Yale. Her work focuses on translating analytics into operational and clinical impact - improving decision-making, supporting high-quality care, and shaping data strategy in large healthcare organizations.