AgileByExample

Craig Larman

Craig Larman is the co-creator of LeSS (Large-Scale Scrum) with his friend and colleague Bas Vodde. He works as an organizational design consultant, introducing LeSS with executive teams for very large and multisite product development (often, HW-SW systems). He also works with product management for highly complex product definitions, and hands-on as an embedded-systems legacy-code C and C++ TDD coach with feature teams, to keep in touch with the real work and workers.

Although one of the very first LeSS trainers and CSTs, he practices and encourages a focus on doing over teaching.

He is the co-author of several books on scaling lean & agile development, including: “Large-Scale Scrum: More with LeSS”, “Scaling Lean & Agile Development: Thinking & Organizational Tools for Large-Scale Scrum”, “Practices for Scaling Lean & Agile Development: Successful Large, Multisite & Offshore Product Development with Large-Scale Scrum”,
“Agile & Iterative Development: A Manager’s Guide”.

Craig has served as the lead coach of lean software development adoption at Xerox, and serves or has served as a consultant for LeSS and large-scale agile adoptions at BMW (on the autonomous-driving car LeSS adoption), Ericsson, JP Morgan, Cisco-Tandberg, Bank of America Merrill Lynch, Alcatel-Lucent, UBS, bwin.party, and Nokia Networks and Siemens Networks, among many other clients. Craig has also served as chief scientist at Valtech, with a division in Bengaluru where together they evolved LeSS for agile offshore development.

Craig holds a B.Sc. and M.Sc. in computer science from beautiful SFU in Vancouver, BC, with research emphasis in artificial intelligence (having very little of his own).

Keynote—AI & HR

What is the emerging impact of AI on organizational design, especially for product development? This influences HR policies, including roles, responsibilities, and career paths. For a flexible future, what changes related to HR will be important in your company?

Video

2022


Talk—Organizational design for large-scale adaptive product development