Leading AI Projects: A New Playbook for Project Managers

Learn practical methods for managing AI projects, covering data‑centric planning, iterative delivery, ethical oversight, and collaboration tools for project managers.

Overview

AI is no longer just a buzzword in project charters — it’s reshaping the way we plan, lead, and deliver outcomes. In this talk, I’ll share a pragmatic perspective on how project managers can evolve to successfully lead AI projects. Drawing on my hands-on experience reviewing the CPMAI v8 (Cognitive Project Management for AI) framework and contributing to PMI’s Infinity platform, I’ll unpack:

Why traditional PM methods fall short in AI projects

How data-centricity, iteration, and ethical oversight change the PM’s role

Key mindset shifts and toolsets needed to collaborate with data scientists, product teams, and AI models

A real-world blueprint to bridge the gap between business expectations and AI capability

This isn’t just about theory. It’s about practical transformation — especially relevant for technically curious leaders and tinkerers who want to bring structure to AI experimentation or scale AI adoption responsibly within organizations.

Tech stack