Naveen Bhateja

▶0:01IntroWelcome to the Built by People podcast, where we share the stories and insights of the world's top HR leaders. Join us as we dive deep into the minds of HR executives, uncovering their strategies, challenges, and triumphs in shaping today's workforce. I'm excited to welcome Naveen to the

▶0:46HostBuilt By People podcast. Naveen, thank you so much for joining us.

▶0:49IntroAnd as a starting question, I always love to ask if you could share

▶0:52Hosta little bit more about your career journey.

▶0:55GuestDave, thank you for having me. I'm very excited and great to be here. Yes, happy to share about my career journey. I've had the fortune of working across multiple industries, high-tech, professional and financial services, life sciences, at different stages of these companies, global scale with companies like GE, Amazon, Meridata Solutions, Juniper Networks, and JPMorgan Chase. For almost 3 decades now, and I believe each experience has shaped my leadership philosophy and my strategic approach to HR. So happy to talk more and more about some of these experiences. Interesting, someone was asking me the other day if I always wanted to be in HR. So a career in human resources wasn't something that I planned. In fact, I had no intentions of going into HR. When I was growing up, I wanted to be a cardiologist and operate on hearts. So my HR career started when I joined GE and crossed paths with a GE HR leader that led me to getting an interview and ultimately a job in HR. Couldn't have asked for a better launching pad than a world-class company like GE, where I was exposed to some of the best talent practices globally and leadership practices. So GE was really my foundation of understanding HR as a business function and not as a support function. Went back to college to do my MBA, learned different aspects of business. How do businesses make money or lose money? How do you lead effectively as a leader? How critical is culture and change management in an organization? And one thing that stood out to me was for these companies, you can have the best technology, the best campus. What truly differentiates company is the talent. So talent is the key differentiator or competitive advantage. I have been saying it for decades now. I used to get a lot of smirks and smiles initially when I started making this statement, but what reinforced, I think, for people, the pandemic, the economic and the social geopolitical issues that we've been facing validated that talent is your true differentiator. Had opportunity to work with companies like Amazon where I learned the power of data-driven decision-making and customer obsession, two principles. And that's how I lead or led HR functions in later roles. At Medidata Solutions, a life sciences tech company that was intimately involved with COVID vaccination, I was tasked and my team with rapidly scaling a global workforce. They were seeing high growth. So we conceptualized and implemented a talent strategy, scaled the workforce by 3x, grew the company revenue by 4x. Led M&A, $6 billion deal from an HR M&A strategy perspective. Juniper Networks spearheaded enterprise-wide transformation, reducing operating costs by over $250 million. At Borg, reinvested into key strategic areas. But amongst all this, I think what really stands out to me is how talent and HR is at the forefront of wherever we are. In fact, I was mentioning it to you prior to our conversation on record, on record. Davos, I had the opportunity to attend this year, and it was all about AI transformation, but also about people transformation. Great time to be in this function. I'm very excited on what my next 10 years would be. And on a lighter note, by the way, the commonality in all this is I started thinking how I would be operating on hearts as a cardiologist, and through my work in HR, I am nurturing the heart of the company, though very differently. So that's been my journey so far.

▶4:36HostNaveen, you recently spoke at Davos about AI's impact on CHROs and CEOs. What were some of the key insights you shared about maintaining human connection in an increasingly digital workforce?

▶4:49GuestSure. It was great, by the way. Super cold, but what a great insightful experience. Here are some of my key learnings from Davos. AI is not just tech disruption. It's a people transformation. I wrote about it on my LinkedIn blog. The human edge matters more than ever. So this was one of the defining takeaways from Davos 2025. So the focus basically shifting from just deploying your new AI tools to fundamentally reshaping how organizations think about leadership, adaptability, human connections in this new era. And in fact, from my perspective, AI is not the one taking away jobs. Leaders who fail to evolve are. The real challenge is future-proofing people, not just roles, because machines will process data, but only humans can create trust, connection, innovation, culture. So the edge is truly not AI, it's leadership. So AI in HR continues to be a very exciting time as well. Of course, needs strong guardrails as there are risks as well. Truly, the future belongs to those who reimagine how AI and people work together to create a more inclusive, innovative, and sustainable world. And really, AI will handle data, but creativity, empathy, and leadership will differentiate successful organizations. So it's about people transformation. And not just tech disruption.

▶6:26HostNaveen, how do you see company culture evolving as organizations become more dependent on digital tools and AI, and what are some of the potential risks and opportunities there?

▶6:38GuestYeah, great question, Dave. I mean, just like anything in life with AI, I see it as a huge opportunity, but there are clear risks as well, and hence strong guardrails will be needed. From an opportunity perspective, from an employee or opportunities perspective, I see AI can drive hyper-personalized employee experience, tailoring your learning, performance insights, well-being support at scale using AI tools. AI can help with automating mundane tasks, which definitely frees employees to focus on more innovation, more problem solving, enhancing job satisfaction. Data-driven decisions can also reduce biases as in hiring and promotion or compensation. So really fostering a more inclusive workplace and collaboration tools, which are AI-driven, can break down silos, improve cross-functional communication, create a more connected workforce. So these are the opportunities and there are tons more, but there are clear risks as well. And I would probably classify top 3 or 4 categories. I see one around trust and transparency. If companies over-rotate too much on AI-driven efficiency, that might erode human connection. So for instance, if companies prioritize automation over people, we'll definitely see engagement and trust decline. The rise of AI surveillance tools can lead to a culture of distrust. Employees feel, am I being watched, monitored rather than empowered? In fact, recently, I'm sure you read about Amazon faced backlash over AI-driven employee monitoring in their warehouses. And also AI-driven processes, like if you're providing automated feedback to employees, can also feel impersonal and almost robotic and detached. The second I would say probably is collaboration and communication. So overreliance on AI, again, for communication can reduce personal interactions, leading to a less connected workplace. You know that there is a lot of focus on remote work, and people are still trying to figure out their cadence on what remote and hybrid work looks like for them and their culture. So that could be an issue if everybody's connected to just the tools. There is no coffee conversations or corridor conversations happening. There are no sidebar conversations happening. So that can make employees feel less connected with each other. So overreliance is not a good thing. And probably the last one I would call out is diversity, equity, and inclusion. So algorithm bias is a real threat. And without oversight, I think it can reinforce systemic inequalities in all those processes that we talked about, which matter to employees— hiring, promotion, internal mobility, performance evaluations. I think bottom line for me is AI is not a replacement for your culture. It's an amplifier. And how you use it as an amplifier it really centers towards your leadership on how leadership defines and does not define that company culture. Clear communication on what company is doing around AI tools, human-centered design, not forgetting that at the end of the day, it's a way to help your employees and not replacing them, and ethical consideration. As I said, we probably, I would say, enhance culture And those who ignore it would risk creating a disengaged, trustful workforce, I would say.

▶10:16HostNaveen, as someone who serves on boards and has led HR transformations, how do you see leadership roles evolving in response to things like AI integration, and what new competencies do you view as crucial?

▶10:31GuestLeadership roles are evolving rapidly, particularly in response to AI and AI integration. And there is also a shift in what it means to be an effective leader. So if you look at most successful executives today and in future, will definitely need to master and strengthen a few critical competencies. One is around digital and AI fluency. And I'm not asking leaders to be data scientists. I'm not expecting each one of them to be super technical. But understanding AI's capabilities, risk, ethical considerations that we just talked about in the previous question, very, very important. This means being able to assess AI-driven insights, make informed decisions about automation. And so that's the digital and AI fluency. And I see several boards where this is a key skill that's missing, and it's worrisome. The second I would say, again, goes to my previous point on human-centered leadership. And what I really mean by that is As AI takes more mundane, repetitive, analytical tasks, where can we double down is making us uniquely human. What makes us uniquely human is empathy and emotional intelligence and ability to inspire and connect with people, build trust, and communicate effectively in a world that is becoming more and more digital and complex so that human-centered leadership is going to be important as we are implementing some of these decisions, what it means for our employees, how is it impacting their life? Is it connecting them or disconnecting them? Is it building trust or eroding trust? All these questions matter and they must be thought through as board and senior executives are implementing AI practices. And the third one I would probably call out is, again, the ethical decision-making and governance. There is a fine line between Efficiency and bias. So how do you ensure that AI systems are designed and deployed ethically? How you are ensuring that there is transparency and fairness and inclusivity? And governance frameworks should be put in place to audit these AI models for unintended biases, particularly in HR, as I said, where you're influencing hiring and internal mobility. Promotions, and employee experiences. So there is a real need for these guardrails to be put in place. Yeah, so I would say those are probably the 3 competencies I would call out— digital and AI fluency, human-centered leadership, and ethical decision-making and governance frameworks, adapting to those.

▶13:15HostNaveen, you talked previously about responsible AI and ethics in HR. Could you share some specific examples of how organizations should approach this balance between automation and maintaining the human in human resources?

▶13:29GuestSure. So tons of examples come to my mind, but let me think which one makes probably more sense. AI-driven performance management, for instance. AI can identify patterns in employee productivity, but overreliance on those insights could also be, as I said, very mechanistic, very robotic evaluations. Organizations can use it as a guide, but not as a final decision maker. They can use it as a tool for creating a culture of coaching and development. You look at hiring, for example, they can screen resumes at scale, but without human oversight, you really risk amplifying the biases that can be present in the historical data. Maybe only certain employees with certain demographic traits applied historically, and AI has leveraged that data, got trained on that data, and now screening and selecting resumes based on that data. So garbage in, garbage out. So without having humans in the loop approach, I think companies can create a huge issue and they really need to show up more responsibly when they're using AI anywhere, but specifically in HR. And really, as I said, how do they balance decision-making, but also helping AI augment decision-making, but not replacing human judgment?

▶14:53HostNaveen, what parting advice would you like to share with our community?

▶14:57GuestSo much. It's an exciting time. It's an exciting time. And I think I'm seeing AI as an opportunity for betterment of the society. I'm seeing it as elevating human potential and not replacing it. Future of work must be designed, thought through while keeping people at the center of decision-making and never lose sight of the fact that culture, trust, purpose, leadership are uniquely human domain. And so they should not be outsourced to an AI tool, but really kept with the humans so that we can continue to leverage AI as this opportunity to level up ourselves and the game.

▶15:40HostThank you so much for joining us on the Built by People podcast. It was a pleasure to have you involved.

▶15:45GuestLikewise. Thank you so much, Dave. Great conversation. I really enjoyed these questions and, and these are critical topics, by the way. And thank you all for listening. Very excited. We will be at Transform, which is happening this month in Vegas. So stay tuned for many more sessions like this during Transform in March in Vegas.