Building a Modern Job Architecture

In this episode, Robert Gibby, current Data Science Director at Cox Enterprises, former Director of People Analytics at Meta, and Chief Talent Scientist at IBM, shares his experience designing AI-powered skills intelligence for workforce planning, talent mobility, and hiring.

Robert Discusses:

• How AI can be used to redefine skills-based job architecture
• Why skills-based transformations can stall - how to keep them going
• The problem with self-reported skills data - and how AI improves accuracy
• How companies can move from a job-based to a skill-based workforce
• What's next for skills intelligence - and why the future is skills-to-work, not skills-to-job

He also unpacks the biggest lessons he learned about using skills data to drive real business impact, talent agility, and workforce planning.

Final Take-away: Skills-based organizations don't just need better data - they need Ai-driven strategies to make skills intelligence actionable at scale.