Biography
Kabeh Vaziri is a Managing Vice President in Gartner’s CIO & AI Leaders practice, where she leads global research on digital and technology talent. Her work centers on understanding how artificial intelligence reshapes the design of technology jobs, skills, and organizational structures—and how leaders can build an effective Human + AI workforce.
Over the past 20 years, Kabeh has led global teams of CIO advisors and analysts, designed new research capabilities, and guided senior technology executives through high-stakes transformation. As Gartner’s Chief of Research for Executive FastStart™, she oversaw the firm-wide launch of a new product offering for new-to-role C-suite and C-1 executives across 20 roles, including CIO, CFO, and CHRO.
Kabeh regularly facilitates executive forums, webinars, and one-on-one advisory sessions, helping digital and technology leaders navigate workforce change, leadership transitions, and AI-driven shifts in work design.
She received her Ph.D. in Transportation Systems Engineering from Cornell University, where she also completed post-doctoral research with Professor Linda Nozick. Prior to Gartner, she conducted applied research at CEB (now Gartner) and later served as Chief of Staff at the healthcare-technology startup WiserTogether.
Research Interests
Kabeh is interested in the intersection of technology, leadership, and organizational capability building. Her research focuses on the emerging Human + AI workforce, studying how AI reshapes technology jobs, workflows, and skills—and what this means for CIOs and business leaders. Key questions include:
- Which IT jobs are most exposed to AI, and how are they evolving?
- What skills will remain human-core in the age of AI, and what should be augmented or automated?
- How do organizations redesign work and accelerate reskilling at scale?
- What new forms of value creation emerge when “new work” is designed to maximize the strengths of humans and AI?
Teaching Interests
AI Value Creation in Engineering Management
This course examines the role of artificial intelligence in engineering management, emphasizing its potential to enhance organizational decision-making while recognizing the conditions necessary for its successful application. In modern engineering enterprises, AI can expand managerial capacity by improving forecasting, optimizing processes, and supporting more adaptive strategies. Yet these benefits are not automatic; they require careful problem selection, reliable data, and managerial expertise to translate technical outputs from AI into effective action.
Rather than being viewed solely as a mechanism for automation, AI should be understood as a catalyst for process redesign, engineering-centric business model innovation, and long-term competitiveness. At the same time, its integration into engineering practice demands attention to workforce adaptation, cultural readiness, and ethical accountability.
Throughout the course, students will develop the ability to critically evaluate when and how AI can complement human judgment and other tools, ultimately preparing them to lead engineering organizations through technological transformation with both rigor and responsibility.
Select Publications
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Kabeh Vaziri, Lily Mok, Lucas Kobat, Rimma Guervich, Duncan Robson, Tori Paulman, Alicia Mullery, “CIO Guide to Redesigning the Enterprise Architect Job in the Age of AI”, Gartner (2025)
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Mary Mesaglio, Kevin Smith, Kabeh Vaziri, Alicia Mullery, Brandon Germer, Akanksha Pandey, “Executive FastStart for CIOs: How to Identify Quick Wins”, Gartner (2025)
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Kabeh Vaziri, Paul G. Carr, Linda K. Nozick, “Project planning for construction under uncertainty with limited resources”, Journal of construction engineering and management 133 (4), 268-276 (2007)
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Kabeh Vaziri, Paul G. Carr, Linda K. Nozick, “Program planning under uncertainty”, 2007 Winter Simulation Conference, 2119-2127 (2007)
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Kabeh Vaziri, Linda K. Nozick, Mark A. Turnquist, “Resource allocation and planning for program management”, Proceedings of the Winter Simulations Conference (2005)
Select Awards and Honors
- Strategy Enablement Award, Gartner 2025
- Enterprise Contributor Award, Gartner 2022
- Management Excellence Award, Gartner 2021
- Master of Change Award, Gartner 2020
Education
- Ph.D., Transportation Systems Engineering with a minor in Operations Research, Cornell University 2006
- M.S., Mathematical Modeling and Economics for Public Decision Making, The Johns Hopkins University 2001
- B.S., Civil Engineering, Amir Kabir University of Technology 1999