Ganesh Sivakumar is leading business transformation at Mead Johnson Nutrition by turning data into a true strategic asset. He is driving next-generation AI and machine learning capabilities that fuel smarter decisions, spark innovation, and unlock value across sales, marketing, finance, supply chain, and consumer engagement. With a career spanning Fortune 100 companies to high-growth startups in healthcare, retail, consumer goods, and beyond, Ganesh brings rich cross-industry expertise. Passionate about shaping the future of talent, he actively mentors and develops the next generation of AI and data leaders—championing a culture of innovation, trust, and responsible adoption to deliver sustainable growth.
Recently, in an exclusive interview with CIO Magazine, Ganesh shared insights into his professional journey and perspectives on technology leadership and innovation. He expressed passion for transforming businesses through data and AI, bridging technology with business outcomes, and mentoring the next generation of leaders. He also shared personal hobbies and interests, his favorite quote, future plans, words of wisdom, and much more. The following excerpts are taken from the interview.
Hi Ganesh. What was a pivotal moment early in your career that steered you toward leadership in data analytics and AI?
My journey into the world of data and AI began with a deep-rooted fascination for systems thinking and decision sciences during my graduate studies in Industrial Management. Early in my career, I worked at UBS and UnitedHealth Group, where I witnessed how data when harnessed meaningfully could drive clarity in complex decision-making.
A pivotal experience was leading the asset management data warehouse at UBS when I realized that data was not just a back-office reporting tool but a strategic asset. I was leading a project where analytics shifted the conversation from “what happened” to “what should we do next.” That moment showed me how data could influence the direction of a business, not just explain its history. It was less about building dashboards and more about making driving decisions and I knew I wanted to spend my career unlocking that potential.
What do you love the most about your current role?
What truly energizes me is the ability to shape enterprise transformation through Data and AI. As a Global Chief Data & AI Officer, I’m in a unique position to bridge technology, business, and culture. I love working with leaders to identify where AI can unlock value, whether that’s accelerating innovation, improving efficiency, or creating entirely new growth opportunities.
Equally important, I take pride in building trust in data so that it isn’t seen as “someone else’s function, but rather as the foundation of every strategic conversation. When data becomes integral to decision-making, it shifts from being a support tool to being a driver of business growth.
What I also deeply enjoy is mentoring the next generation of talent. Helping future leaders develop not only technical skills but also the mindset to think holistically about business impact is extremely rewarding. It’s fulfilling to see them grow into confident professionals who can carry forward the vision of using data and AI responsibly to transform organizations and society.
What excites you most about the future possibilities of AI and data analytics in business?
We’re moving into a future where AI won’t just support business strategy instead will become the business strategy. What excites me most is the shift from incremental improvements to structural transformation. We’re talking about supply chains that can dynamically reconfigure in response to disruptions, consumer engagement that becomes hyper-personalized at scale, and R&D pipelines that compress years of discovery into months.
The true promise of AI lies in its ability to drive both resilience and growth simultaneously, a combination every boardroom is seeking today. It’s not only about doing things faster or cheaper, but about reimagining how entire industries operate. That potential to reinvent business models, create new value pools, and shape the future of work is what keeps me inspired every day.
What do you believe are critical skills for data/AI leaders to possess to drive strategic business impact?
Beyond technical depth, the most critical skill is the ability to translate between data and value. Leaders must be able to frame analytics not in terms of models or algorithms, but in terms of outcomes like higher revenue, lower cost, reduced risk, greater agility. Equally important are change leadership and communication. You need to bring people along, align stakeholders, and make data not intimidating but empowering. If you can inspire confidence while challenging the status quo, you’ll move the organization forward.
What role do you think mentorship plays in developing the next generation of AI and data leaders?
Mentorship is critical because this is a field where the technical landscape evolves faster than traditional career paths. A mentor can help emerging leaders navigate not only tools but also the organizational dynamics that determine impact. I see mentorship as a multiplier: it accelerates readiness, shapes judgment, and instills the confidence to take on transformative initiatives. And as leaders, if we don’t actively cultivate the next generation, we risk slowing down the very progress AI promises. When we develop talent alongside technology, we create the leadership capacity needed to scale AI responsibly and unlock enduring business value.
Is there a particular person you are grateful for who helped get you to where you are?
I am deeply grateful to a leader early in my career who trusted me with responsibilities well beyond my role. That trust forced me to stretch, but it also showed me how much difference belief in someone’s potential can make. It shaped my leadership philosophy: create opportunities, empower people, and back them when they take bold steps. It’s a lesson I carry with me into how I build teams today.
What are some of your passions outside of work? What do you like to do in your time off?
I have a passion for exploring different cultures, which often means traveling and experiencing food that tells the story of a place. I also enjoy reading widely specifically history, economics, and even fiction, because it keeps me connected to diverse perspectives and broadens my thinking beyond the day-to-day.
Equally important, fitness and outdoors are a core part of my life. I love weightlifting and hiking because they constantly challenge me to push past limits and set new personal records. That discipline in showing up consistently, embracing discomfort, and striving for progress rather than perfection shapes how I approach leadership as well. Both in the gym and in business, resilience and growth come from committing to the long game and continuously raising the bar.
What is your favorite quote?
One that continues to resonate is Peter Drucker’s “The best way to predict the future is to create it.” It’s particularly relevant in data and AI, where our responsibility is not just to anticipate trends but to actively shape the way businesses operate, compete, and grow.
What is your biggest goal? Where do you see yourself in 5 years from now?
My goal is to establish data and AI as core value drivers in business, not as support functions. Five years from now, I see myself continuing to help organizations build ecosystems where responsible AI adoption accelerates growth and trust. On a broader level, I want to influence how industries embrace AI in a way that balances innovation with responsibility because lasting success will come from trust as much as from technology.
What advice would you give to aspiring data leaders looking to make an impact in driving business outcomes with analytics and AI?
Focus on outcomes, not outputs. It’s tempting to measure success in models built or dashboards delivered, but true leadership lies in asking: did this drive revenue, reduce risk, improve customer experience, or open a new market? Stay curious, learn continuously, and build the courage to challenge how things have always been done. And remember, data leadership is not about technology alone. It’s about shaping culture, building trust, and ensuring that data becomes a living part of every strategic decision.