Jie Yu

Head of Digital & Data Science PM

Johnson & Johnson

Jie Yu is the Head of Digital & Data Science Product Management at Johnson & Johnson. He is leading the digital product management team for enterprise functions and driving the digital transformation journey in supply chain across sectors in J&J, including strategy, portfolio roadmap, and lifecycle management of digital products and solutions. Meantime, Jie leads the Impact Pillar of J&J AI Council as well as co-chair J&J Data Science Community of Practice (CoP).

Jie has over 15 years of experience in digital transformation, AI, machine learning, data science, and digital product management. Prior to joining Johnson & Johnson, Jie held various technical and leadership roles at Shell and McMaster university. Jie holds a Ph.D. in Chemical Engineering with a focus on AI and Machine Learning from the University of Texas at Austin, and a Bachelor of Science in Bioengineering from Zhejiang University in China.


Agenda Key

  • Analyst Insights: the latest trends and research delivered by TDWI analysts.
  • Expert Best Practices: experts, with in-the-trenches expertise, focus on best practices and successful real-world applications
  • Curated Case Studies: case studies, delivered by experts in the field, with a focus on actionable takeaways
  • Tech-in-Action: moderated technology demos and case study sessions that enable attendees to assess all the latest AI applications and technologies
  • Workshop: Interactive session where leaders come together with peers, with an expert facilitator, to discuss common challenges and proven best practices

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