In this episode of the Digital Adoption Accelerator Podcast for Life Sciences, host Jake Herway sits down with Valeria Runza, who leads a biochemistry department within Analytics in Pharma Technical Development at Roche in Penzberg, Germany. Valeria shares her journey from studying biotechnology in Argentina to moving to Germany for her PhD in genetics and immunology, despite not speaking German at the time. She reflects on how her courage, curiosity, and constant need to learn have shaped her leadership path across research, biologics, analytics, and enterprise-wide digital initiatives.The conversation explores Valeria’s experience with the Digital Adoption Accelerator immersion in Moab, where she began seeing AI not only as something to implement, but as something to actively adopt. She discusses how AI has helped her think differently, challenge her own assumptions, and engage with her “digital self” as a tool for reflection and better decision-making. Valeria and Jake also discuss the human side of AI adoption, including why leaders need to communicate the “so what” behind efficiency gains, how teams can avoid creating a “nicely automated mess,” and why AI should help people become better humans rather than simply add more complexity to already busy systems. Valeria Runza has spent more than 17 years at Roche, including 12 years in research and the last five years leading a biochemistry team within analytics in pharma technical development. Her work focuses on biologics, leadership, digital adoption, and helping teams navigate change with curiosity, courage, and purpose. Key Takeaways:- AI adoption is not the same as simply going with the flow. True adoption requires personal involvement, ownership, and a willingness to rethink how work gets done.- Leaders need to clearly communicate why AI is being adopted and what efficiency gains are meant to enable.- Without intention, AI can add complexity to complexity and create what Valeria calls a “nicely automated mess.”- AI can help people think better, reflect more deeply, and make stronger value judgments when used with purpose.- The human factor remains one of the biggest challenges in scaling AI because people need clarity, trust, and context.- Teams thrive when leaders create freedom, avoid micromanagement, and allow people to take initiative.- AI has the potential to help pharma use decades of data to reduce trial and error, increase confidence, and bring safer, more effective medicines to patients faster.- Courage and continuous learning remain essential leadership traits in a world where digital transformation is moving faster than ever. Connect with Valeria Runza:LinkedIn: https://www.linkedin.com/in/valeria-runza-a4087035 Connect with Jake Herway:LinkedIn: https://www.linkedin.com/in/jakeherway Follow ValueAdd Group:Website: https://www.valueaddgroup.com/LinkedIn: https://www.linkedin.com/company/valueadd-group/ Follow the Podcast:YouTube: https://www.youtube.com/channel/UCzWMc22gSBAsDQ9EX3nqb5Q/podcasts/podcastsApple Podcasts: https://podcasts.apple.com/us/podcast/accelerating-digital-adoption-in-healthcare/id1815823125Spotify: https://open.spotify.com/show/1v4xjAZstZYqocvmpU7ZRL?si=7a6a7703415c4ab8&nd=1&dlsi=5b5a5984295b44fb