Paul McDonagh-Smith

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Paul McDonagh-Smith

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Paul McDonagh-Smith is a Visiting Senior Lecturer in Information Technology at the MIT Sloan School of Management. In his research and teaching, Paul creates key intersection points between technology and business. He specializes in translating computer and data science into measurable business value that evolves organizational capability, transformation, and strategy.

He teaches in MIT Sloan’s, ‘Accelerating Digital Transformation with Algorithmic Business Thinking’, and ‘Digital Learning Strategy’ programs. As an early pioneer in Digital Reality, Paul has successfully invented and innovated with Extended Reality (XR) and metaverse technologies across multiple industries for more than 20 years and is a featured lecturer in MIT Sloan’s, ‘Business Implications of Extended Reality (XR): Harnessing the Value of AR, VR. Metaverse, and More’ program. Paul also teaches in, and contributes to, a wide range of MIT Sloan Executive Education programs.

McDonagh-Smith plays a role in shaping the growing portfolio of digital programs at MIT Sloan Executive Education. He collaborates with the MIT Sloan team to define digital strategy and drives transformative technology experimentation.

Through close collaboration with Faculty, Labs, and Schools across MIT, as well as an extensive global network of industry partners, Paul’s approach to entrepreneurship is built upon a bias for practical action. More technology ‘presentist’ than technology ‘futurist’, Paul enables teams to invent their future, starting today.

He provides digital transformation, business model and strategy guidance to organizations across multiple industries and geographies as well as to a range of international government departments.

Prior to MIT, Paul held senior roles in Optical Network Systems Engineering, R&D, Emerging Products and Technology, Business Transformation and Human Resources during a 20-year career in the telecoms industry.

Paul is an advisor to NASA Goddard Space Flight Center, under the supervision of chief scientist, Dr. James B. Garvin.

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Executive Education

Executive Education Course

Algorithmic Business Thinking Sprint

In this on-demand, asynchronous learning experience from MIT Sloan Executive Education, Faculty Director Paul McDonagh-Smith introduces the concept of Algorithmic Business Thinking—a framework for understanding the key principles of algorithms, code, and data and a methodology for applying those principles across role and departments, from products and service to business functions like finance, sales, and marketing.

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Executive Education Course

Accelerating Digital Transformation with Algorithmic Business Thinking

Digital transformation marks a radical rethinking of how technology, people, and processes combine to create and deliver value. This exciting digital transformation education course introduces the concept of Algorithmic Business Thinking as a toolkit, mindset and digital language for uniting and augmenting your human and digital capabilities that helps you discover and uncover new opportunities throughout your digital transformation journey.

  • Oct 19-20, 2023
  • Oct 7-8, 2024
  • Sep 25-Nov 13, 2024
  • Apr 10-May 29, 2024
  • Jan 31-Mar 20, 2024
  • Jul 10-Aug 28, 2024
  • Nov 6, 2024-Jan 1, 2025
  • Apr 2-May 21, 2025
  • May 28-Jul 16, 2025
  • Jan 22-Mar 12, 2025
  • Sep 10-Oct 29, 2025
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