Jimmy Zhang
Global Head of Talent Acquisition, People Analytics & Workforce Planning Takeda Pharmaceutical
Jimmy Zhang is the Global Head of Talent Acquisition, People Analytics, and Workforce Planning at Takeda, where he leads enterprise strategies that connect business purpose with human potential. A researcher and practitioner focused on leadership, belonging, and wise interventions, he champions environments where people can grow, thrive, and contribute meaningfully. He also serves as Chairperson of NAAAP Boston and is pursuing a PhD in Leadership at Bentley University.
Seminars
- How Takeda is re-energizing TA, L&D, and HR by treating hiring and talent programs as prediction problems, using a simple four-step measurement science framework to validate which interventions truly work
- See concrete examples of how hypothesis testing and data-led evaluation have streamlined decision making, eliminated ineffective tools, and improved talent outcomes, shifting leaders from subjective judgement to evidence-based action
- How embedding measurement science has delivered clear ROI, including reduced wasted spend on non-performing programs, more accurate hiring decisions, and insights that now inform enterprise-level workforce and AI skills strategy approved by Takeda’s board
This interactive Q&A examines the intersection of measurement science and strategic succession, exploring how organizations can move from instinct-driven to evidence-based talent decisions at every level. Drawing on both the measurement framework and the 360° talent model explored in the Discover sessions, participants will examine how to build the analytical muscle and succession infrastructure needed to make consistently better decisions.
- How do you build the measurement culture needed to sustain evidence-based talent decisions over time?
- What are the most common ways organizations are unknowingly investing in programs that don’t work?
- How do you build an internal executive scouting capability in an organization without a large central talent team?
- What is the right balance between data rigour and speed in making critical talent decisions?
