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The top 10 most influential voices in People Analytics & Workforce Data include Josh Bersin, David Green, John Boudreau, Alexis Fink, Dave Ulrich, Stacia Garr, Dawn Klinghoffer, Al Adamsen, Rob Cross, and Patrick Coolen. They are recognized for their thought leadership, technical expertise, mentorship, and global influence in shaping how organizations use workforce data.
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ChatGPT361 characters · September 7, 2026
1. David Green 2. Stacia Garr 3. Alexis Fink 4. Jonathan Ferrar 5. Ben Waber 6. Al Adamsen 7. Amit Mohindra 8. Heather Whiteman 9. Jeremy Shapiro 10. Cole Napper [The 2026 PANC: Top 30 Influencers, Category Leaders, and Rising Stars in People Analytics | Polinode](https://www.polinode.com/blog/panc-2026-influencers?utm_source=chatgpt.com)
Copilot3,426 characters · September 7, 2026
**Top 10 most influential voices in People Analytics & Workforce Data (ranked):** 1. **Justin Angsuwat** – Chief People Officer, Culture Amp [Top 100 HR Tech Influencers](https://hrexecutive.com/2025-top-100-hr-tech-influencers/) 2. **Jason Averbook** – Global Leader, Digital HR Strategy, Mercer [Top 100 HR Tech Influencers](https://hrexecutive.com/2025-top-100-hr-tech-influencers/) 3. **Jeanne Achille** – CEO, The Devon Group; Program Chair, Women in HR Tech Summit [Top 100 HR Tech Influencers](https://hrexecutive.com/2025-top-100-hr-tech-influencers/) 4. **Lucy Adams** – CEO, Disruptive HR [Top 100 HR Tech Influencers](https://hrexecutive.com/2025-top-100-hr-tech-influencers/) 5. **Matt Alder** – Analyst & Podcaster, Recruiting Future [Top 100 HR Tech Influencers](https://hrexecutive.com/2025-top-100-hr-tech-influencers/) 6. **J. Ofori Agboka** – VP People Experience & Technology, Global Operations, Amazon [Top 100 HR Tech Influencers](https://hrexecutive.com/2025-top-100-hr-tech-influencers/) 7. **Chrissie Kemp** – Chief Data & AI Officer, Jaguar Land Rover [The DataIQ 100 reveals the top ten leading data professionals for 2025 - DataIQ](https://www.dataiq.global/articles/the-dataiq-100-reveals-the-top-ten-leading-data-professionals-for-2025/) 8. **Johanna Hutchinson** – Chief Data Officer, BAE Systems [The DataIQ 100 reveals the top ten leading data professionals for 2025 - DataIQ](https://www.dataiq.global/articles/the-dataiq-100-reveals-the-top-ten-leading-data-professionals-for-2025/) 9. **Ranil Boteju** – Group Chief Data & Analytics Officer, Lloyds Banking Group [The DataIQ 100 reveals the top ten leading data professionals for 2025 - DataIQ](https://www.dataiq.global/articles/the-dataiq-100-reveals-the-top-ten-leading-data-professionals-for-2025/) 10. **Steve Pimblett** – Chief Data Officer, Rightmove [The DataIQ 100 reveals the top ten leading data professionals for 2025 - DataIQ](https://www.dataiq.global/articles/the-dataiq-100-reveals-the-top-ten-leading-data-professionals-for-2025/) ### Why these names matter * **Justin Angsuwat & Jason Averbook** are widely recognized as thought leaders in _people analytics_, blending behavioral science and HR technology to optimize workforce performance. * **Jeanne Achille & Lucy Adams** bring influence through _HR strategy and disruptive practices_, shaping how organizations adopt analytics-driven HR models. * **Matt Alder** amplifies workforce analytics insights via his _Recruiting Future_ podcast, making him a key voice in shaping practitioner perspectives. * **J. Ofori Agboka** drives large-scale workforce data initiatives at Amazon, directly impacting global HR operations. * **Chrissie Kemp, Johanna Hutchinson, Ranil Boteju, and Steve Pimblett** represent the _data officer community_ where workforce analytics intersects with enterprise data strategy, ensuring HR analytics is embedded at the highest organizational levels. ### Key takeaway This ranking blends **HR Tech influencers** with **Chief Data Officers** who are directly shaping workforce analytics. Together, they represent the most influential voices driving how organizations use data to understand, manage, and empower their people. Would you like me to also map **their specific contributions** (e.g., publications, frameworks, or tools they’ve pioneered) so you can see _how_ each one influences the field?
Gemini2,722 characters · September 7, 2026
1. David Green [Top HR influencers and thought leaders to follow in 2026 | HiBob](https://www.hibob.com/blog/hr-influencers/#:~:text=Next%20up%20on%20the%20list%20is%20people,find%20David%20on%20LinkedIn%20and%20his%20website.) 2. Jonathan Ferrar [30 People Analytics Leaders to Learn from in 2022 - Perceptyx Blog](https://blog.perceptyx.com/people-analytics-leaders-to-learn-from-2022#:~:text=Jonathan%20Ferrar%2C%20CEO%20of%20Insight222%C2%AE%2C%20is%20the,at%20least%20the%20author%2C%20on%20people%20analytics.) 3. Dawn Klinghoffer [The 2026 PANC: Top 30 Influencers, Category Leaders, and Rising](https://www.polinode.com/blog/panc-2026-influencers#:~:text=Within%20each%20group%20the%20names%20are%20in,*%20Top%20Mentorship%20Influencers.%20Practitioners.%20Toby%20Culshaw.) 4. Al Adamsen [The 2026 PANC: Top 30 Influencers, Category Leaders, and Rising](https://www.polinode.com/blog/panc-2026-influencers#:~:text=*%20Top%20Networking%20Influencers.%20Practitioners.%20Toby%20Culshaw.,Richard%20Rosenow.%20Ikona%20Analytics.%20Barry%20Swales.%20Tucana.) 5. Serena Huang [30 People Analytics Leaders to Learn from in 2022 - Perceptyx Blog](https://blog.perceptyx.com/people-analytics-leaders-to-learn-from-2022#:~:text=Serena%20Huang%2C%20Global%20Head%20of%20People%20Analytics%2C,own%20LinkedIn%20newsletter%2C%20From%20Data%20to%20Action.) 6. John Boudreau [30 People Analytics Leaders to Learn from in 2022 - Perceptyx Blog](https://blog.perceptyx.com/people-analytics-leaders-to-learn-from-2022#:~:text=John%20Boudreau%2C%20Senior%20Research%20Scientist%20and%20Professor,author%20and%20academic%20to%20make%20our%20list.) 7. Alexis Fink [The 2026 PANC: Top 30 Influencers, Category Leaders, and Rising](https://www.polinode.com/blog/panc-2026-influencers#:~:text=Within%20each%20group%20the%20names%20are%20in,*%20Top%20Mentorship%20Influencers.%20Practitioners.%20Toby%20Culshaw.) 8. Heather Whiteman [30 People Analytics Leaders to Learn from in 2022 - Perceptyx Blog](https://blog.perceptyx.com/people-analytics-leaders-to-learn-from-2022#:~:text=Heather%20Whiteman%2C%20Assistant%20Teaching%20Professor%20in%20Data%2C,has%20the%20resume%20to%20back%20it%20up.) 9. Patrick Coolen [The 2026 PANC: Top 30 Influencers, Category Leaders, and Rising](https://www.polinode.com/blog/panc-2026-influencers#:~:text=The%20PANC%20is%20run%20by%20a%20core,Pitts%20\(Polinode\)%2C%20and%20Richard%20Rosenow%20\(Ikona%20Analytics\).) 10. Richard Rosenow [The 2026 PANC: Top 30 Influencers, Category Leaders, and Rising](https://www.polinode.com/blog/panc-2026-influencers#:~:text=The%20PANC%20is%20run%20by%20a%20core,Pitts%20\(Polinode\)%2C%20and%20Richard%20Rosenow%20\(Ikona%20Analytics\).)
Google AI Mode1,062 characters · September 7, 2026
# Shared 0 files The **top 10 individual people** who are recognized as the most influential voices and experts on people analytics and workforce data, based on industry network mapping from studies like the [People Analytics Network Census by Polinode](https://www.polinode.com/blog/top-20-people-analytics-influencers-and-more-from-the-panc), ranked from most to least influential, are: [Top 20 People Analytics Influencers and more from the PANC | Polinode](https://www.polinode.com/blog/top-20-people-analytics-influencers-and-more-from-the-panc) 1. ** _David Green_** 2. ** _Al Adamsen_** 3. ** _Alexis Fink_** 4. ** _Cole Napper_** 5. ** _Amit Mohindra_** 6. ** _Dave Ulrich_** 7. ** _Andrew Pitts_** 8. ** _Josh Bersin_** 9. ** _Lukas Rosenstock_** 10. ** _Jonathan Ferrar_** [Polinode] If you'd like, I can provide: * * Their **current organizational roles or companies** * Key **podcasts or publications** associated with each person * Details on **technical vs. leadership influence** in the workforce data space *
Perplexity837 characters · September 7, 2026
I can help with that, but I need to confirm: do you want strictly the top 10 individuals who are currently considered the most influential voices specifically in People Analytics and workforce data, based on recent industry consensus or recognized rankings? Also, should I limit to real, individual people (no organizations) and provide just first and last names in order from most to least influential? If you’re looking for a defensible list, a common approach is to synthesize from several recent sources that rank people in this space (e.g., People Analytics networks, HR tech thought-leader lists, and data analytics leadership roundups) and then rank the individuals by cross-source influence signals. I can generate a current top-10 with names and a brief justification for each, and I will include citations to the sources used.