Show Notes
What does the next evolution of people analytics actually look like?
As AI reshapes how organisations operate, people analytics is increasingly being drawn into more consultative, business-facing work - helping leaders think through decisions, guide adoption, and play a more active role in how work actually gets done.
In this episode of the Digital HR Leaders podcast, host David Green is joined by Jamie Nevshehir, VP of HR Operations and People Analytics at NBCUniversal, to explore what that looks like in practice.
So, hit play to learn more about:
How to build a people analytics function from scratch and establish credibility early Why strong data foundations still matter more than advanced analytics How to introduce a more consultative, business-facing approach The role of people analytics in guiding and governing AI adoption Why dashboards are no longer enough on their own How the function is evolving toward influencing decisions
This episode is sponsored by Visier. Visier Workforce AI is your GPS for workforce decisions. Spot attrition risk, uncover pay gaps, measure leadership impact, and track skills shortages before they slow growth. Then act. Align talent to real business outcomes.
Across industries, HR and business leaders are using Visier Workforce AI to navigate the biggest workforce shifts of our time. Move from knowing to doing, faster.
See it in action at visier.com
Also, make sure to read to explore Visier’s latest research on strategic workforce planning in the AI era. Hosted on Acast. See acast.com/privacy for more information.
More from Digital HR Leaders with David Green
As AI makes knowledge more widely available, are organisations paying enough attention to the relationships that help people put it to work?
What changes when the people function is designed not as a collection of separate HR processes, but as part of the operating system of the company?
Your organisation has committed to an AI strategy. But what does that commitment mean for the people who have to work differently because of it?
What if the thing slowing down AI in HR isn't the technology at all, but the way the function is set up to deliver it?
As AI reshapes work, the people function has an opportunity to play a much bigger role in how organisations navigate the transformation. At Snowflake, that starts with trusted data, strong people analytics and a clear view of what technology should automate, where it should augment human capability, and what should remain human.