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.
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