Top Tech Jobs & Startup Jobs

Design and implement a centralized sponsorship operations model, including team structure, workflows, governance, staffing, and service delivery. Lead transition planning, stakeholder alignment, workstream coordination, training, communications, and rollout. Use data to inform resourcing and operating decisions while partnering with medical, compliance, legal, procurement, finance, HR, and business operations to improve efficiency, quality, transparency, and scalability.

Lead Japan Commercial Procurement as part of Asia Pacific Procurement leadership, defining local strategy and projects, embedding category management, delivering cost savings and cash generation, ensuring supply assurance, risk and governance, driving sustainability Scope 3 supplier engagement, and developing the Japan ONEProcurement team through coaching, performance management and capability uplift while aligning local and global procurement activities.

Lead brand insight work by defining key challenges, overseeing research and data analysis, aligning analytical solutions with stakeholder objectives, and delivering actionable strategic insights to Brand Leadership to guide marketing strategy and growth.

Lead the Digital Learning Development team to design and deliver digital commercial learning solutions, upskill the sales force, and build trainer digital capability. Manage digital learning transformation, capability dashboards, stakeholder engagement, and team development. Forecast digital and AI trends to inform learning strategy and ensure program effectiveness.

Lead APAC IT category strategic sourcing and supplier management across region; develop and implement category strategies, drive cost savings, supplier performance, compliance, and cross-functional stakeholder engagement. Oversee contracting, risk, sustainability, and procurement-led change to deliver business value.

Design and implement evaluation systems and standardized benchmarking frameworks for AI capabilities applied to clinical development. Collaborate with domain experts and vendors to identify high-value AI opportunities, develop datasets and reproducible test processes, support beta testing and deployment, and provide technical interpretation, training, and cross-functional leadership to enable AI adoption across clinical study design, execution, and regulatory engagement.