Director, AI & Data Partner Evaluation

Role: Data & AI Partnerships Lead, focusing on integrating external AI/ML and real-world data sources to advance evidence generation across Oncology and Biopharmaceutical areas. Responsibilities include evaluating external datasets, scouting and managing data partnerships, translating evidence needs into data sourcing strategies, and ensuring regulatory and ethical compliance. The role involves building and maintaining a network of data providers, collaborating with cross-functional teams (RWE, Data Science, Clinical Ops), and overseeing partnership lifecycle from scouting to renewal. It also entails supporting platform development, informing enterprise AI strategy, and ensuring data partnerships align with therapeutic area priorities. Qualifications: Bachelor's or higher in epidemiology, biostatistics, health informatics, or related fields; 7+ years of experience in RWE, health data science, or data strategy within pharma, biotech, or healthtech; strong technical skills in data quality assessment, multimodal data integration, and familiarity with regulatory standards (EMA, FDA). Preferred: experience with oncology/rare diseases, evaluating AI-enabled data partners, and knowledge of privacy-preserving analytics. The role demands a technically credible, strategic connector with leadership qualities emphasizing collaboration, pragmatism, and proactive networking. Office presence required at least three days per week, with flexibility. Location: flexible within a major market, competitive salary, bonus, and benefits.