Building a language for workforce intelligence
Discover how job taxonomies can revolutionize human capital management and elevate employee wellbeing. In Job Architecture, economist Ben Zweig unveils a powerful, data-driven framework for building a more adaptive, equitable, and efficient workforce.
Harness the power of taxonomies for better human capital management
In Job Architecture, economist and entrepreneur Ben Zweig offers a revolutionary approach to transforming human capital management through the power of taxonomies. The book follows the experience and ideas of key individuals—from the founders of Wall Street, to the original management consultant, to a young data scientist just out of grad school looking to make sense of the modern workforce—in order to illustrate why our current human capital infrastructure is not serving employees well and what we can do to change that.
Ben Zweig
Labor Economist & Revelio Labs CEO
A passionate advocate for understanding the evolving nature of work, Ben also teaches Data Science and The Future of Work at NYU Stern. Before founding Revelio Labs, he was a Managing Data Scientist at IBM’s Chief Analytics Office and a Quantitative Strategist at an emerging markets hedge fund. He holds a PhD in Economics from the CUNY Graduate Center, where his research explored occupational transformation and social mobility.
With a rare combination of academic rigor, industry experience, and a front-row seat to the changing world of work, Ben brings unmatched perspective to Job Architecture. His work sits at the intersection of economics, technology, and workforce strategy, making him one of today’s leading voices on the future of labor.
WHAT’S INSIDE?
By categorizing and organizing workforce data, Zweig provides a practical roadmap for creating a more efficient and data-driven labor market. This book includes key insights on how to:
Use AI and similar large language model technologies to support businesses with appropriate categorization and regimentation of data
Know whether or not a taxonomy can be useful and functional for an organization in their ability to be flexible, auditable, and adaptable
Build a taxonomy that meets the needs of a workforce or organization through clustering, labeling, and production