The 2026 PANC: Top 30 Influencers, Category Leaders, and Rising Stars in People Analytics

Last year we ran the People Analytics Network Census (PANC) for the first time and we were overwhelmed by the response. Over 400 people from around the globe submitted a response and the feedback from the community was overwhelmingly positive. So we had to run it again this year! A few months ago we released the 2026 PANC, and this post is the first set of results from it.

For those who might be less familiar with the PANC, the purpose is to map the global network of People Analytics professionals and to measure how that network changes over time. Our objective is to truly understand this community and to deliver insights back to it. The PANC is run by a core team of six: Patrick Coolen (KennedyFitch), Matthew Diabes (NYU), Stephanie Murphy (Society for People Analytics), Maria Nolazco (IPSY), Andrew Pitts (Polinode), and Richard Rosenow (Ikona Analytics). This effort would not be possible without the community, and we are grateful to our distribution partners, Directionally Correct, Insight222, People Analytics World, and the Society for People Analytics, as well as the over 40 individual PANC supporters who helped us tremendously in getting the word out.

We are pleased to report that the 2026 PANC was even bigger than last year's. This year 506 people completed the survey, and between them they named a network of 3,135 unique professionals across the field. This is an incredibly rich dataset, particularly when combined with last year's responses and the attribute data we collected alongside these relationships, such as location, role, tenure, People Analytics team maturity, responsibilities and so on.

The image below shows the network that the PANC collected (well, the major connected component of it, that is). The blue nodes are respondents to the PANC and the pink nodes are people who did not respond themselves but were nominated by someone else.

The 2026 PANC network. Blue nodes are PANC respondents, pink nodes are people nominated but who did not respond, and each line is a nomination.
The 2026 PANC network. Blue nodes are PANC respondents, pink nodes are people nominated but who did not respond, and each line is a nomination.

The focus of this post is on the identification of different kinds of influencers in the community based on the 2026 results. This year we decided to identify four broad groups of influencers:

In each section below we explain briefly the methodology used for each group. For those interested in more of the details behind the methodology, we encourage you to take a look at the methodology paper that we produced (for the first time) this year.

One note that applies throughout: every list below is ordered alphabetically by last name, not by rank. Being named is the recognition; we are deliberately not ranking people within a list.

The Top 30 People Analytics Influencers

These are the overall influencers within the global community. For those who took the PANC, you may recall that we asked respondents to describe three networks: the people who are their key relationships inside their current organisation, at previous workplaces, and across the broader community. From those nominations we built a directed network and ranked it with a weighted version of PageRank, the same family of algorithm that once ranked the early web. PageRank rewards being nominated by people who are themselves well connected, rather than simply counting raw nominations. We also gave more weight to the community ties. So people at the top of the list did not necessarily receive the most nominations, but were towards the top because they were named by people who are themselves influential and well connected. Remember that the names are listed alphabetically by surname, and we have included LinkedIn profile links for each one.

We also invited each of the Top 30 to answer a short question about their work and the field generally. This year we decided to give people five prompts that they could pick from:

Many answered more than one, and we have selected a single response from each person to feature below.

Al Adamsen
Al Adamsen
Adaptive Futures
What's the most overrated (or underrated) idea in People Analytics today?
Overrated: that good information will carry the day and lead to good decision-making. Underrated: social capital – the value of relationships – needs to be studied and understood with the same rigor as human capital.
Michael Arena
Michael Arena
Connected Commons
What keeps you in People Analytics?
As AI becomes increasingly adept at answering what, the enduring value of people analytics lies in answering why; helping leaders make better decisions, strengthen relationships, and unlock human potential.
Madhura Chakrabarti
Madhura Chakrabarti
Insight222
What makes the People Analytics community special?
The openness to share with one another and the spirit of learning.
Patrick Coolen
Patrick Coolen
Kennedyfitch
What keeps you in People Analytics?
More than ever, People Analytics is well-positioned to balance data-driven insights and AI for the good of people, organizations, and society.
Morgan Depenbusch
Morgan Depenbusch
Morgan Depenbusch LLC
What makes the People Analytics community special?
Honestly, it doesn’t get better than the PA community. People are generous with their ideas, quick to support peers, and genuinely excited to move the field forward.
Jonathan Ferrar
Jonathan Ferrar
Insight222
What keeps you in People Analytics?
People analytics is not about HR. It is about the business. It is about delivering value. It is this notion that keeps me inspired.
Alexis Fink
Alexis Fink
What makes the People Analytics community special?
Unique combination of technical curiosity and generosity. Most of us could make more money applying our skills to other problems - we do this work because it matters.
Stacia Garr
Stacia Garr
RedThread Research
What's the most overrated (or underrated) idea in People Analytics today?
Over-rated is a focus on backward looking metrics, like turnover / retention and engagement scores. Under-rated is not understanding how people analytics leaders can actually be strategic consultants to HR and the business.
David Green
David Green
Insight222
What keeps you in People Analytics?
The mission of using data to make work fairer, better, and more humane.
Scott Hines
Scott Hines
Amazon Web Services
What keeps you in People Analytics?
Helping employees be as happy, productive, and engaged in their jobs as possible while making the organizations they work for as efficient as possible.
Nick Hudgell
Nick Hudgell
Sanofi
Finish the sentence: "In three years, People Analytics will..."
Fulfil its potential with connecting insights to business outcomes. In an era of AI, People Analytics is not dead but transformed and even more important.
Dawn Klinghoffer
Dawn Klinghoffer
Microsoft
What keeps you in People Analytics?
People analytics is where rigor meets empathy; using data to help employees thrive, which will become increasingly more important in the age of AI.
Alec Levenson
Alec Levenson
USC Marshall Center for Effective Organizations
What keeps you in People Analytics?
Helping our People Analytics community find answers to the strategic, systemic challenges facing the business and HR, including what's beyond the usual data.
Pietro Mazzoleni
Pietro Mazzoleni
IBM
What keeps you in People Analytics?
The future is unknown, but we have the opportunity to discover it and help shape it by challenging how we think today.
Courtney McMahon
Courtney McMahon
Colgate Palmolive
What makes the People Analytics community special?
Our genuine willingness to share knowledge and collaboratively elevate the HR profession's data literacy, empowering our community to spark real organizational change.
Amit Mohindra
Amit Mohindra
People Analytics Success
What's the one thing you wish you'd known when you started?
The importance of power – understanding how to recognize organizational power structures and how to navigate them successfully to advance the people analytics mission.
Stephanie Murphy
Stephanie Murphy
UnitedHealth Group
What makes the People Analytics community special?
It’s small enough to build meaning for relationships and large enough to learn something new every day.
Cole Napper
Cole Napper
HRBench and Directionally Correct
What makes the People Analytics community special?
Anyone can be someone.
Colby Nesbitt
Colby Nesbitt
Netflix
What keeps you in People Analytics?
There’s no shortage of fascinating problems. I’m convinced now is the most exciting and pivotal moment to be in this field.
Ian OKeefe
Ian OKeefe
ikona Analytics
Finish the sentence: "In three years, People Analytics will..."
be driving exponential value with new data, products, and approaches for the AI era.
Kalifa Oliver
Kalifa Oliver
Lowe's
What keeps you in People Analytics?
The moment data stops being a report and starts being a reason someone finally gets heard. That never gets old.
Andrew Pitts
Andrew Pitts
Polinode
What's the most overrated (or underrated) idea in People Analytics today?
The power of networks in the workplace is getting more attention but remains underrated. Companies and teams are more than a collection of individuals.
Greg Pryor
Greg Pryor
Connected Commons
What's the most overrated (or underrated) idea in People Analytics today?
While biased, I believe applied Social Network Analysis provides extraordinary un-tapped value, increasingly critial for the Age of AI
Richard Rosenow
Richard Rosenow
Ikona Analytics
What makes the People Analytics community special?
The People Analytics community really understands "you get out what you put in". People share their methods, their failures, and their playbooks with near-strangers and expect nothing in return. I owe my career to that generosity and I try to pay it back whenever I can.
Jeremy Shapiro
Jeremy Shapiro
Merck
Finish the sentence: "In three years, People Analytics will..."
...fundamentally shift from analytically based advice to AI-enabled analytical services anyone can use. The amazing thing about our community is how quickly we learn and adapt to new technology. Be the leader who helps bring AI from promise to reality while creating engaging work for employees. You are key to the future of HR!
Laura Shubert
Laura Shubert
MetLife
What keeps you in People Analytics?
I stay in People Analytics because the problems keep getting harder. Work changes, orgs shift, methods lag. That tension is frustrating for some but addictive if you’re wired for it.
Craig Starbuck
Craig Starbuck
Society for People Analytics
What makes the People Analytics community special?
I’m grateful for a community that keeps supporting people through this period of unprecedented change and if I've played even a small part in someone else's success along the way, that's what matters most to me.
Alan Susi
Alan Susi
S&P Global
What makes the People Analytics community special?
The community practices what we preach in our businesses: collaborate deeply, share insights and intelligence that help people and the great good.
Jaap Veldkamp
Jaap Veldkamp
ABN amro
What makes the People Analytics community special?
What stands out is the generosity: people share what works so others can build on it.
Heather Whiteman
Heather Whiteman
University of Washington
What keeps you in People Analytics?
No two datasets, problems or applications are ever identical. From digital traces to qualitative narratives, the sheer diversity of methods, disciplinary approaches and outcomes keeps the field endlessly fascinating.

What the Top 30 told us

Many of the Top 30 decided to answer all five (or at least more than one) of the prompts that we gave them. When we saw this, we decided that (a) we did not want to overload you, our reader, with all of the responses, but (b) we also did not want to throw away all of this terrific open-text data. So what to do in a situation like this? Well, naturally we fed the quotes to an LLM and asked it to extract the key themes for us. Below is a concise summary of the themes as provided by the LLM.

1. From analysis to decisions. Almost everyone defines the work by whether it changes what leaders actually do, not by the models or dashboards behind it. The ambition people describe is to be embedded in strategic workforce decisions and business workflows rather than to produce more reports. It shows up in what they call overrated too: backward-looking metrics, and dashboards mistaken for strategy. Several, including David Green and Amit Mohindra, say the lesson they learned the hard way is that trust and influence matter more than technical skill, because even the best analysis has to be acted on to count.

2. AI raises the stakes for the human side, not lowers them. Nearly everyone who looks ahead mentions AI, and the consensus is the opposite of the field being automated away. As Michael Arena puts it, as AI gets better at answering "what," the enduring value moves to answering "why." People expect the human, interpretive, and relational parts of the work, the context and judgement a model cannot supply, to become the scarce and valuable part.

3. Relationships and networks are the underrated frontier. Fittingly for a network census, several people single out social capital and the structure of relationships at work as the most underrated idea in the field. Al Adamsen argues that relationships deserve to be studied with the same rigour as human capital, and others note that companies and teams are more than a collection of individuals. It is a reminder that a lot of what drives performance sits in the connections between people, not just in their individual attributes.

4. A generous community is why people stay. When asked what makes the community special, the answers converge on an unusually open and generous culture, and the word "generosity" comes up again and again. People share their methods, their failures, and their playbooks with near-strangers and expect nothing back. Underneath it is a sense of mission, that the work is about people and about making work fairer and more humane, which is what sustains people through a period of rapid change.

Top Influencers by Country

In some future work that we will share with the community, we will be digging into the demographics and non-relational responses of respondents. Last year we found that more than half of respondents were US based. This year we made even more of a concerted effort to reach communities outside of the US, including the addition of Patrick Coolen (The Netherlands) and Maria Nolazco (Argentina) to the core team. We certainly have more non-US representation in our list of overall influencers this year, but we still believe that the PANC has an important role to play in promoting and connecting people in communities and countries outside of the US. It is for this reason that we are once again creating a list of Top Influencers by Country.

This year, instead of the top single influencer for each country, we decided to include up to three influencers for each country, and we determined this by applying the same PageRank-based method as for the Top 30 Overall Influencers. Not every country that participated has three influencers, and many countries do not have any identified influencers because we also required that each person receive a reasonable number of base nominations in order to be included. In total we identified 37 country influencers across 19 countries in this way.

Rather than share a single flat list, we have built an interactive map so you can explore the most influential professionals country by country. Click through to find the leaders in your part of the world.

Click to open the interactive PANC 2026 map by country.
Click to open the interactive PANC 2026 map by country.

Category Leaders

Influence is not just one thing. Some people shape how the field thinks, others quietly develop the next generation, others are the technical backbone their peers lean on, and others are the connectors who hold the whole network together. So alongside the overall list, we have identified leaders in the four categories that the PANC explicitly measured: Vision and Ideas, Mentorship, Technical Expertise, and Networking. Vision and Ideas is a new category this year.

These lists come from those labels: when people nominated someone, they could also say what they valued them for. There are two other things we did differently this year compared to last year. The first is that we adjusted for how generous or harsh each nominator was when giving out a label (for example, indicating that someone was a source of Technical Expertise for them). The second is that we have split each category into two groups: practitioners working inside an organisation, and everyone else (consultants, vendors, and academics). We split them because, left together, the non-practitioners tended to dominate these lists. They often build their reputation on being widely known for a particular kind of contribution, so separating the two groups makes sure that practitioners are not unfairly pushed out by non-practitioners. Within each group the names are in alphabetical order, and each links to LinkedIn.

Top Vision & Ideas Influencers

The people the community looks to for strategic insight and innovative thinking, those whose thinking moves the field forward through frameworks, writing, or the questions they push everyone else to ask.

Practitioners

Toby Culshaw
Toby Culshaw
ServiceNow
Dawn Klinghoffer
Dawn Klinghoffer
Microsoft
Adam McKinnon
Adam McKinnon
Reece Group
Colby Nesbitt
Colby Nesbitt
Netflix
Shannon Vallina
Shannon Vallina
GE Aerospace

Consultants, Vendors & Academics

Michael Arena
Michael Arena
Connected Commons
Alexis Fink
Alexis Fink
David Green
David Green
Insight222
Dirk Jonker
Dirk Jonker
Crunchr
Greg Pryor
Greg Pryor
Connected Commons

Top Mentorship Influencers

The people others turn to for mentorship and career advice, and who others credit with their growth.

Practitioners

Toby Culshaw
Toby Culshaw
ServiceNow
Michael Moon
Michael Moon
AbbVie
Greg Newman
Greg Newman
Rio Tinto
Shannon Vallina
Shannon Vallina
GE Aerospace
Michael Walsh
Michael Walsh
Eaton

Consultants, Vendors & Academics

John Boudreau
John Boudreau
University of Southern California
Hallie Bregman
Hallie Bregman
The Bregman Group
Patrick Coolen
Patrick Coolen
Kennedyfitch
Alexis Fink
Alexis Fink
Amit Mohindra
Amit Mohindra
People Analytics Success

Top Technical Expertise Influencers

The people others seek out for help on difficult technical questions and problems. These are the practitioners and specialists trusted for genuine technical depth.

Practitioners

Toby Culshaw
Toby Culshaw
ServiceNow
Scott Hines
Scott Hines
Amazon Web Services
Ludek Stehlik
Ludek Stehlik
Sanofi
Shannon Vallina
Shannon Vallina
GE Aerospace
Michael Walsh
Michael Walsh
Eaton

Consultants, Vendors & Academics

Morgan Depenbusch
Morgan Depenbusch
Morgan Depenbusch LLC
Dirk Jonker
Dirk Jonker
Crunchr
Andrew Pitts
Andrew Pitts
Polinode
Jamie Strnisha
Jamie Strnisha
One Model
Bennet Voorhees
Bennet Voorhees
Ikona Analytics

Top Networking Influencers

The connectors, the people who make thoughtful introductions and help others build their networks.

Practitioners

Toby Culshaw
Toby Culshaw
ServiceNow
Sue Lam
Sue Lam
The Coca-Cola Company
Adam McKinnon
Adam McKinnon
Reece Group
Courtney McMahon
Courtney McMahon
Colgate Palmolive
Greg Newman
Greg Newman
Rio Tinto

Consultants, Vendors & Academics

Al Adamsen
Al Adamsen
Adaptive Futures
Patrick Coolen
Patrick Coolen
Kennedyfitch
Jonathan Ferrar
Jonathan Ferrar
Insight222
Richard Rosenow
Richard Rosenow
Ikona Analytics
Barry Swales
Barry Swales
Tucana

Rising Stars

It is important to nominate people who are highly central in the network or who deliver on particular dimensions that others find valuable. But we also wanted to make sure to acknowledge newer contributions and voices. For this reason we created a new category this year called Rising Stars. To be eligible for this group you needed to have 15 years or less of total experience since joining the workforce and 8 years or less of experience in People Analytics. We selected these numbers because both were slightly less than the medians for all respondents. We then applied the same PageRank-based metric as for the overall influencers, but subject to these filters.

If you are not connected to these individuals yet, we would encourage you to connect with them!

Madison Hanscom
Madison Hanscom
Chime
Jordan Hartley
Jordan Hartley
Everpure
Sonali Kumar
Sonali Kumar
Nike
Adele Malpert Leslie
Adele Malpert Leslie
Texas Instruments
Marcela Mury
Marcela Mury
Vale
Rory O'Gallagher
Rory O'Gallagher
Ikona Analytics
Aaron Rodriguez
Aaron Rodriguez
Capitol Bridge
Monalisa Routray
Monalisa Routray
Colgate Palmolive
Rafael Sanchez
Rafael Sanchez
Ally Financial
Bill Yost
Bill Yost
Netflix

Why isn't a particular person on the list?

One of the questions that we often received last year was "I'm surprised Person X is not on the list, why?". If someone you would have expected is missing, there are a few likely reasons. They may not have taken part in the PANC this year, since the survey can only rank people the community had a chance to nominate. They may have taken part but chosen not to be named publicly, which we always respect. Or they may have ranked just outside a threshold, which is unavoidable whenever a line has to be drawn. None of this is a judgement about anyone's contribution. It reflects who responded, who consented, and where the cut fell in a single year of data. Also, there is no single correct methodology for identifying influencers. We have refined our approach from last year and will likely continue to do so. And if you were hoping or expecting to be on one of the lists and were not, please know that there are many people who have made, and will continue to make, amazing contributions to the community and who are not named here. Your contributions are still seen and appreciated.

Why identify influencers at all?

The point is not to rank people for its own sake. A field grows faster when it is easy to find the people that others have found particularly helpful, and that is especially true for newcomers trying to get their bearings. Peer nomination is also a fairer basis for recognition than the usual signals, because it reflects who the community actually relies on rather than the more subjective measures that are more commonly used. And by returning the analysis to the community, we hope to make the network a little easier to navigate for everyone in it.

A note on our own influence

Several of the core team appear on these lists. By reaching out to a broad group of over 40 supporters to promote the PANC, we tried to reach as many people as we could and to dilute the bias that certainly must exist through our own participation in and promotion of the PANC. We acknowledge, though, that there is almost certainly some residual bias that remains. Our most important job is to report the results as they are, and hopefully as the PANC continues to grow in awareness and size, the bias introduced by our own participation will continue to decline.

What comes next

We promised three things at the start of the PANC, and two more are still to come.

First, we are still planning to put on a webinar walking through the wider results of the 2026 PANC. The lists in this post are the headline, but the census tells a much richer story about how the People Analytics community is structured, how it is connected, and how it is changing. We will email everyone who took part in the PANC with details of the webinar soon.

Second, we are planning to produce personal network reports for those who participated in the PANC, as we did last year (last year we produced them for people who received a threshold number of nominations, and we are hoping to go broader this year).

Thank you to everyone who participated in the PANC this year! This is only possible with your support and participation. And if you did not participate and would like to next year, you can register your interest by signing up here.