Summary
Jochen Thäder is a Principal Business Analyst and solution-focused technologist with a PhD in Nuclear Physics and over a decade of hands-on experience architecting large-scale Big Data, analytics and HPC platforms. He has blended research-grade HPC expertise from CERN and Berkeley Lab with enterprise delivery, leading end-to-end managed hybrid Big Data/HPC platforms for autonomous driving and manufacturing at DXC, Luxoft and now Capgemini. As Account Chief Technologist he led the award-winning BMW High-Performance Data Driven Development Platform, demonstrating an uncommon ability to industrialize cutting-edge research workflows into production at scale. He specializes in merging Big Data and HPC to enable data-intensive R&D—particularly for autonomous driving, predictive quality and predictive maintenance. Colleagues describe him as curious, pragmatic and creative, a leader who navigates interdisciplinary teams and complex stakeholder landscapes to turn ambitious analytics visions into operational platforms. Based in Frankfurt, he brings both deep scientific rigor and pragmatic product delivery experience to bridge research and industry.
11 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Nuclear Physics / Computer Engineering, Doctor of Philosophy (Ph.D.) Nuclear Physics / Computer Engineering at Goethe University Frankfurt
PhD Student Nuclear Physics / Computer Engineering, PhD Student Nuclear Physics / Computer Engineering at Heidelberg University
Physics Computer Science, Physics Computer Science at University of Oklahoma
English, German, French