
EP13: From Reactive to Ready — with Alexandra Zea, HR Digital Transformation Leader at Mercer
As technology and AI reshape how organizations work, what happens when we react too late? In this episode of Now to Next, Jason Averbook sits down with Alexandra Zea, HR Digital Transformation Leader at Mercer, to talk about the danger of waiting for certainty before acting — and how to make sure people don’t become the collateral of change. Drawing on her experience helping organizations rethink HR strategy, operating models, and digital transformation, Alex shares why readiness isn’t about speed alone — it’s about balance, governance, and leading with humanity as technology accelerates.
Key Points
- Why reacting too late can cost more than moving too soon
- How HR operating models must evolve for an AI-driven future
- The importance of “proof of work” and skills transparency
- Why data-driven decision-making builds trust in transformation
- Practical ways leaders can experiment early — and bring people along
Guest:
Alexandra Zea is an HR Digital Transformation Leader at Mercer, where she integrates technology, strategy, and innovation to help organizations evolve the way HR delivers business value.
Part of Mercer’s HR Digital Transformation practice, Alex guides clients through digital evolution while shaping the future of HR in a world transformed by AI.
She holds a Master’s in Organizational Behavior from New York University and a Bachelor’s in Organizational Leadership from Temple University, and is passionate about building human-centered, data-driven organizations that thrive through change.
Follow Jason Averbook:
Substack: https://substack.com/@jasonaverbook X: https://x.com/jasonaverbook LinkedIn: https://www.linkedin.com/in/jasonaverbook Instagram: https://www.instagram.com/jasonaverbook YouTube: https://www.youtube.com/@nowtonextwithjasonaverbook Facebook: https://facebook.com/jasonaverbook
Follow Alexandra Zea:
LinkedIn: https://www.linkedin.com/in/alexdzea/
Chapters
| 0:00 | |
| 1:02 | |
| 4:35 | |
| 6:26 | |
| 7:11 | |
| 10:28 | |
| 15:49 | |
| 17:00 | |
| 19:49 | |
| 21:33 | |
| 23:50 | |
| 25:00 | |
| 26:11 | |
| 29:15 | |
| 31:40 | |
| 31:45 |
Transcript
Loading transcript...

