Ensure development of reusable data and AI components and promote their use across the data and AI ecosystem, business functions (e.g., clinical operations, asset management, clinical development, quality, safety, regulatory, Enterprise functions, etc.) and promote innovative, scalable data and AI engineering approaches to accelerate data science and AI work. Beyond technical and product skills, they must possess exceptional communication, leadership, and problem-solving abilities to align diverse teams, navigate ambiguity, and deliver innovative solutions that provide tangible business and scientific value. .