Job Architecture: Building a Language for Workforce Intelligence

Job Architecture: Building a Language for Workforce Intelligence book cover

Job Architecture: Building a Language for Workforce Intelligence

Author(s): Ben Zweig (Author)

  • Publisher: Wiley
  • Publication Date: 5 Jan. 2026
  • Edition: 1st
  • Language: English
  • Print length: 208 pages
  • ISBN-10: 1394369069
  • ISBN-13: 9781394369065

Book Description

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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From the Inside Flap

In Job Architecture: Building a Language for Workforce Intelligence, economist and entrepreneur Ben Zweig delivers a transformative new approach to human capital management. Zweig explains an original framework―one that relies on the power of taxonomies―for analyzing and organizing labor markets.

The book walks you through how to support businesses by skillfully categorizing and regimenting data. You’ll learn to cluster, label, and produce labor data to meet the needs of a specific workforce or company and identify useful taxonomies that accurately predict whether certain categories can perform within defined environments.

Job Architecture draws on unique insights from key players in industry, consulting, and data science to illustrate why our current human capital infrastructure is not serving employees (or employers) well and how we can work together to change that. The author provides actionable techniques you can apply immediately to revolutionize your approach to managing your workforce. These techniques will improve the work experience of your employees, generate measurable productivity gains, and make it easier for managers and leaders as they guide the efforts of more motivated, healthier teams. You’ll also learn about the latest AI-powered technologies that offer new ways to organize and analyze workplace data and how to implement them effectively within your company.

Perfect for leaders doing their best to create and sustain a competitive, modern workplace that meets the needs of its employees and the organization itself, Job Architecture is packed with real-world examples, original theoretical analysis, and hands-on frameworks that will put you on the path to solving your most intractable human capital management challenges.

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