Job Analysis, Rebooted: Scaling the Unscalable with AI, Skills Data, and a Little Less Pain
Speakers
Cole Napper
Vice President, Research, Innovation, and Talent Insights
Chris Laney
VP, Social Impact and Labor Economist, Lightcast
Dan Putka
Chief Scientist, HumRRO
Alex Browne
Head of People Analytics,Innovation and Data Science , (Global) Nestle
Key Topics
The scientific foundation of job analysis—why KSAOs, tasks, and structure still matter
How AI, skills ontologies, and labor market data can automate and modernize outdated methods
Key differences between public and private sector approaches—and what they can learn from each other
Job Analysis, Rebooted: Scaling the Unscalable with AI, Skills Data, and a Little Less Pain
What if HR’s most dreaded task just became your organization’s secret weapon?
For decades, job analysis has been critical—but also complicated, inconsistent, and stuck in the ‘90s. Now, AI, real-time labor market data, and dynamic skills ontologies are transforming how we understand work, making it possible to build, maintain, and scale job architectures faster and more accurately than ever before.
In this webinar, we’ll explore why job analysis remains the overlooked backbone of modern workforce strategy—and how new tools and methods are finally making it easier to do (and do well). You’ll hear from leaders who’ve reimagined job analysis in large, complex organizations and discover practical strategies to move from static, legacy job descriptions to skills-based design at scale.
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