Job Architecture: Building a Language for Workforce Intelligence

Harness the power of taxonomies for better human capital management and employee wellbeing

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.

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

Combining storytelling with real-world examples, theoretical analysis, and a practical framework, Job Architecture is an essential guide for companies to manage a competitive, modern workforce that improves the working experience for all employees.