
Sign up to save your podcasts
Or


Marshall Hulbert has done what most engineers only talk about — he's actually replaced the drawing. A veteran change agent now leading Model-Based Definition (MBD) and Model-Based Enterprise (MBE) adoption at Oshkosh Defense, Marshall joins host Chad Jackson to share what it really takes to drive a transformation that reaches far beyond the engineering department. The first half of the conversation covers the change agent role itself: the skills that matter, how to read organizational signals that predict success or failure, and the soft-skills battles you'll fight with departments that aren't yours to manage.
The second half goes deep on MBD and MBE — what engineering, manufacturing, quality, and procurement actually gain when the drawing disappears, why supplier adoption is the hardest bridge to cross, and a forward-looking idea Marshall raises that's rarely discussed: feeding manufacturing programs, inspection results, and downstream data back into the model so it becomes a living, circular source of truth rather than just an output.
Key Takeaways:
By Chad JacksonMarshall Hulbert has done what most engineers only talk about — he's actually replaced the drawing. A veteran change agent now leading Model-Based Definition (MBD) and Model-Based Enterprise (MBE) adoption at Oshkosh Defense, Marshall joins host Chad Jackson to share what it really takes to drive a transformation that reaches far beyond the engineering department. The first half of the conversation covers the change agent role itself: the skills that matter, how to read organizational signals that predict success or failure, and the soft-skills battles you'll fight with departments that aren't yours to manage.
The second half goes deep on MBD and MBE — what engineering, manufacturing, quality, and procurement actually gain when the drawing disappears, why supplier adoption is the hardest bridge to cross, and a forward-looking idea Marshall raises that's rarely discussed: feeding manufacturing programs, inspection results, and downstream data back into the model so it becomes a living, circular source of truth rather than just an output.
Key Takeaways: