Demonstrated experience building enterprise data governance, architecture, and analytics capabilities from the ground upAdvanced command of statistical tools and programming (Python, R, SQL, SAS)Deep experience with modern cloud data systems (Azure, Snowflake, AWS)Familiarity with R&D and manufacturing/biomanufacturing data systems (ELN, MES, LIMS, ERP)Track record of leading and scaling high-performing data and analytics teamsHigh level communication and presentation skills, with experience presenting to senior leadership Additional Experience We ValueDirect cell therapy or advanced therapy medicinal product (ATMP) experience strongly preferredExperience with autologous or allogeneic cell therapy manufacturing and chain-of-identity/chain-of-custody data systemsFamiliarity with mass spectrometry-based multi-omics, single-cell genomics, flow cytometry, and other cell characterization data typesExperience implementing AI/ML solutions in a regulated life sciences environmentExperience in a high-growth, fast-paced biotech environment (clinical-to-commercial transition)By applying, I understand that any offer of employment is contingent upon the successful completion of a background check, in accordance with applicable laws. The Director will bridge the gap between scientific research and scaled, automated manufacturing by overseeing the data infrastructure (ingestion, governance, architecture) and advanced analytical execution (predictive modeling, statistical analysis, and machine learning) needed to support scientific discovery, autologous/allogeneic cell therapy production, real-time chain-of-custody/chain-of-identity tracking, and regulatory submissions.