Listen "“We Needed More Skilled Talent to Save Lives” | How Bristol Myers Squibb Used Skills Data to Solve a Life-or-Death Talent Shortage"
Episode Synopsis
In this in-person episode of The TechWolf Podcast, we sit down with Ben Wein, Director of Workforce Skills Enablement at Bristol Myers Squibb (BMS), live from the Flanders House in New York City.Ben shares the inside story of how one of the world’s largest pharmaceutical companies is becoming a skills-based organization—starting with a business-critical talent shortage in cell therapy manufacturing. He explains how BMS uses skills data to drive faster hiring, smarter workforce planning, and ultimately, patient impact.💡 Final Takeaway: In pharma, solving the right talent problem isn’t a nice-to-have—it can literally save lives. Skills data is how BMS gets there.Ben shares:✔ Why time-to-fill became a life-or-death metric at BMS✔ How skills helped solve a manufacturing talent crisis in cell therapy✔ What not to focus on in your first year of becoming skill-based✔ Why AI and task-level data will define the next wave of skills strategy✔ What pharma gets right about workforce planning—and what others can learnTime stamps:00:00 – Welcome & Introduction of Ben Wein (Bristol Myers Squibb)01:11 – The cultural traits powering skills strategy: Trust & transparency02:33 – Timeline: How long BMS has been on the skills journey03:15 – What is a skills-based organization? Ben’s definition04:30 – Why now? AI, business urgency & talent shortages06:40 – Cell therapy as a high-stakes use case for skills07:53 – Skills data in pharma: Planning 5–10 years ahead09:18 – BMS’s starting point: Talent acquisition and internal mobility11:42 – Skills data quality: “From zero to one” and evolving governance13:37 – Managing expectations with the business15:18 – Speaking two languages: Business vs. HR16:23 – How the BMS skills team is structured and evolving18:34 – Internal mobility as the first North Star use case20:35 – Roles, tasks, and skills: Why jobs still matter23:56 – Still cracking the model: Tasks and the future of work25:10 – Change management: The real skills transformation hurdle28:44 – What’s next? Planning for AI & the future of the pharma workforce31:02 – Where Ben goes to learn: Peers, forums, and building internal trust33:11 – Ben’s question for the next guest
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