Paul McDonagh-Smith


Paul McDonagh-Smith

Get in Touch



Academic Groups

Academic Area

Paul McDonagh-Smith is a Senior Lecturer in Information Technology at the MIT Sloan School of Management.

He is the Faculty Director and teaches in MIT Sloan’s, Digital Learning Strategy and Algorithmic Business Thinking: Hacking Code to Create Value programs.

McDonagh-Smith is also the MIT Sloan Office of Executive Education Digital Capability Leader. In this role, he directs the growing portfolio of digital programs; works with the MIT Sloan team to define digital strategy and drives transformative technology experimentation.

In his work, Paul studies the intersection between technology and learning to invent and embed next generation platforms and experiences that fit how organizations and employees work in today’s digital society.

His recent innovations include harnessing artificial intelligence and machine learning, augmented, virtual realities and avatar-based virtual worlds, robotics and collaboration technologies to build and take to market a series of digital teaching and learning products and solutions. Paul specializes in translating and converting the computer and data science value of today’s transformative technology into clear and measurable business value for teams and organizations

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 to practical action. More technology ‘presentist’ than ‘futurist’, Paul specializes in enabling teams to invent their future, starting today.

He provides digital learning and technology strategy guidance to organizations across multiple industries and geographies as well as a range of international government departments.

Prior to MIT, Paul held senior roles in human resources, r&d, emerging products & technology, engineering and global services functions during a 20-year career in the telecoms industry.


Recent Insights

Ideas Made to Matter

What is algorithmic business thinking?

Borrowing from computer science, algorithmic business thinking helps people communicate with each other, and with machines.

Read Article

Media Highlights


Executive Education

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 new 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.

  • Sep 28-Nov 16, 2022
  • Nov 30, 2022-Jan 18, 2023
View Course
Executive Education Course

Digital Learning Strategy

Organizations, schools, and government departments of today and tomorrow require an effective digital learning strategy to keep speed with innovation and upskill their workforces. Regardless of your industry, your employees expect smart, connected experiences that fit the way they live and work in a digital world. In this new, hands-on digital learning strategy course, we’ll give you the capability and confidence to harness current advanced technologies such as machine learning, augmented reality, and robotics in your education strategy. You’ll also look at digital learning and transformation technologies through a strategic lens that will help you create and deliver new value.

  • Dec 14-16, 2022
  • Sep 21-23, 2022
View Course