WEBINAR | Tuesday August 19th

Job Analysis, Rebooted: Scaling the Unscalable with AI, Skills Data, and a Little Less Pain

Speakers

Cole Napper

VP of Research
Innovation, and Talent Intelligence

Lightcast

Dr. Christopher Laney

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  • How AI, skills ontologies, and labor market data can automate and modernize outdated methods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

  • A practical roadmap to connect job analysis with compensation, talent mobility, and workforce planning

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.