• Lead all global in vitro scientific operations across Crown’s sites. • Ensure consistent and high-quality execution of in vitro studies, maintaining strong scientific rigor, reproducibility, and translational relevance. • Drive operational efficiencies through standardized workflows, SOP harmonization, and continuous improvement initiatives. • Oversee end-to-end operational workflows, including study design support, resource planning, execution, QC, reporting, and on-time delivery. • Drive improvements in productivity, reproducibility, cycle time, and cross-site alignment. • Establish and track operational KPIs (quality, timeliness, resource utilization, client satisfaction). • Identify opportunities to expand and modernize in vitro capabilities. • Lead implementation of new technologies, automation, and translational assays supporting MoA, PK/PD linkage, and IND-enabling studies. • Partner with biomarker, in vivo, and translational science leaders to ensure integration across platforms. • Act as a senior scientific representative for key client meetings, supporting proposal development, study design, troubleshooting, and data interpretation. • Support BD strategy with strong scientific storytelling, customer retention insights, and expansion of strategic partnerships. • Guide teams in translating client program objectives into actionable in vitro study plans. • Ensure alignment between scientific operations, project management, quality, and commercial teams. • Support cross-site initiatives, including platform harmonization and global capability mapping. • Build a high-performance culture emphasizing scientific rigor, innovation, accountability, and client-centricity. • Provide strategic mentorship, succession planning, and competency development across assay platforms. • Oversee global in vitro budgets, headcount planning, capital equipment strategy, and site capacity allocations. • Support revenue planning, operational forecasting, and margin optimization. • Partner with finance and senior leadership to drive operational efficiency and scalability.