The Data Management TA Lead in Early Development Biometrics is accountable for setting and executing the data management strategy across a therapeutic area (TA), ensuring high-quality, reliable, and analysis-ready data in support of early-phase clinical development. This role directly leads a team of Data Managers responsible for ensuring data quality, integrity, and readiness across multiple studies, partnering closely with Biostatistics, Data Science, Clinical Operations, and vendor teams. It provides technical leadership across multiple programs, enabling consistent, scalable, and scientifically aligned data practices tailored to the unique demands of early research. As a key leader within the Early Development Biometrics function, the TA Lead anticipates and navigates complexities such as evolving endpoints, exploratory data types, and limited standardization, driving fit-for-purpose solutions that support decision-making under uncertainty. This includes aligning data strategies with early clinical development goals and ensuring biometrics deliverables are both scientifically rigorous and operationally feasible. With deep subject matter expertise and a strong understanding of the data lifecycle, the TA Lead also contributes to process optimization, standards evolution, and innovation across early development programs. This role also drives continuous improvement, talent development, and a culture of accountability, collaboration, and innovation within the data management team.