The CIO Mindset, Decoded: How to Build, Scale and Stay Resilient ft. Andrea Bergamini, Orbia

The automotive industry is undergoing a once-in-a-generation shift as vehicles evolve from hardware-centric machines to software-defined vehicles (SDVs). This transformation is redefining how cars are built, updated, and improved across their lifecycle. In this episode of the #ZinnovPodcast, Naveen Kichili, Global Head – Software-Defined Vehicle at HCLTech, joins Vijaykumar Hegde, Partner at Zinnov, to explore what it takes for OEMs to transition toward software-driven vehicle platforms. Drawing on more than two decades of experience in automotive transformation, Naveen shares deep insights into the architectural, operational, and business changes required to make SDVs a reality. The conversation unpacks why SDVs represent a structural shift for the automotive industry, the move from distributed ECUs to centralized and zonal compute architectures, and why over-the-air (OTA) capabilities go far beyond a feature to require a secure, end-to-end software pipeline. It also delves into the challenges of managing legacy complexity while modernizing vehicle platforms, outlines the SDV roadmap for the coming decade, from building foundations to scaling and enabling closed-loop evolution, and highlights how OEMs can unlock lifecycle value through software, services, and data. If you are working on automotive software, vehicle platforms, or digital mobility transformation, this episode is for you. Listen now.

"Our customers come to us and stay with us because of our culture." In an industry where switching costs are high and contracts are long, most software companies mistake retention for loyalty. StarRez doesn't. Over 30 years, across Australia, North America, Europe, and now Asia Pacific, they've built something harder to replicate than any feature roadmap, a community that genuinely wants to stay. In this episode of the Zinnov Podcast, Jason Day, CEO, and David Meale, President, StarRez, sit down with Ravi Darbha, Partner, Zinnov, to talk about what it takes to build a technology company where culture is the actual product. From navigating PE without losing their identity, to building cross-functional teams in Hyderabad, to rethinking what AI-driven leadership looks like in practice, this is a conversation about the unglamorous, deliberate work behind sustainable scale. Here is what you will take away: Why culture is a competitive moat, and how to protect it as you scale How to build global teams that feel local, not transplanted What it means to treat AI as a collaborator in how you think and lead Why alignment across an organization is harder, and more valuable, than speed The leadership habits worth building, and the ones worth leaving behind Listen to the episode now.

Imagine operating in a system where decisions are public, consequences are immediate, and mistakes are rarely forgiven. That is the everyday reality of Dr. Ekroop Caur, IAS. In this episode of Women in the Mirror, she reflects on what it takes to lead in public service at scale — shaping technology and innovation policy, making high-stakes calls under constant scrutiny, and carrying the weight of decisions that affect millions. What gives this conversation its edge is how plainly she talks about the personal cost of such leadership. Dr. Caur challenges the idea that women must “be everything to everyone” — at work, at home, all the time. She speaks about drawing boundaries, delegating without guilt, and letting go of the myth of perfection. Not as advice, but as lived reality. The result is a portrait of leadership that is demanding, deeply human, and quietly empowering for anyone trying to lead well without burning out. 🎙️ Listen to the episode

“AI shouldn’t replace judgment. It should amplify it.” As AI rapidly collapses product development cycles and accelerates decision-making, the margin for getting things wrong has never been smaller. Product leaders today are navigating faster launches, heightened customer expectations, rising concerns around trust and bias, and an increasing reliance on automated intelligence, while still being accountable for outcomes, accuracy, and long-term value creation. In this episode, Ajay Singh, Chief Product Officer at Pure Storage, joins Namita Adavi, Partner at Zinnov, for a candid conversation on what it truly takes to lead products in an AI-accelerated world, where speed is abundant, but judgment remains scarce. Ajay brings over 25 years of experience spanning Silicon Valley startups and global enterprises, having led technology and product teams through multiple waves of disruption, from the PC era and cloud revolution to today’s AI inflection point. Drawing from his journey across Sun Microsystems, VMware, Hewlett Packard, and as a founder whose companies were acquired by BMC Software and Intuit, Ajay offers a grounded operator’s perspective on how innovation actually scales. The conversation explores how AI is reshaping product management and customer experience, why biased outcomes often originate in data rather than models, and how product teams must move from feature-centric execution to outcome-driven design. Ajay also shares why the venture-driven startup model continues to be the most effective engine for innovation, even inside large enterprises, and why, despite all the technological change, leaders must continue to place their biggest bets on people. This episode offers a pragmatic view of AI as an enabler, not a replacement, where success is defined not by adopting the latest tools, but by building resilient teams, trustworthy systems, and products that deliver real customer outcomes. Tune in to hear: Why AI is compressing product cycles, but not eliminating accountability How product leaders can manage trust, accuracy, and bias in AI-driven systems Why product management is shifting from features to outcomes and behavior patterns How startup-style venture models can unlock innovation inside large enterprises Leadership lessons on judgment, competitiveness, and building teams that win Tune in to hear the full episode.

Wayfair was not built in a day. It was built slowly, deliberately, and with a partnership that worked because neither of them ever got the last word. In this episode of Zinnov Podcasts, we bring together the Wayfair founders, Niraj Shah and Steve Conine, in conversation with Nitika Goel, Managing Partner and CMO at Zinnov, to hear the Wayfair story of what it truly takes to build and scale a durable company. Over more than two decades, Niraj and Steve built Wayfair not by chasing momentum, but by returning to first principles whenever things became complex. They believed that disagreement—handled well—leads to truth. That data should challenge instinct. And that progress worth keeping often feels slower than expected. For ten years, the company was bootstrapped. Scarcity sharpened decisions and forced focus. As the organization grew, the work evolved from doing everything themselves to building systems others could trust. Culture, people principles, and operating discipline became anchors: quiet mechanisms that helped thousands of people move in the same direction. This isn’t a story about perfect decisions. It’s about staying in the work through uncertainty, trade-offs, and time. For leaders navigating scale, complexity, or change, this episode of Zinnov Podcasts offers a simple reassurance: patience is not hesitation, discipline is not restraint, and building something that lasts is, in itself, an act of leadership. Tune in now. 

“Technology shouldn’t support the business. It should be the business.” As technology becomes inseparable from how companies operate, the role of the CIO is being fundamentally redefined. Today’s leaders are navigating growing complexity, diverse business models, rapid AI adoption, rising cyber risk, and globally distributed teams, while still being expected to deliver speed, resilience, and measurable outcomes. In this episode, Andrea Bergamini, CIO, Orbia, joins Karthik Padmanabhan, Managing Partner, Zinnov, for a candid conversation on what it truly takes to lead technology in a purpose-driven, multi-business global enterprise. Andrea shares his unconventional journey across GE, Heineken, Cargill, and Orbia, and how building cybersecurity from scratch as a Greenfield CISO shaped his philosophy of owning mission-critical capabilities. He explains how Orbia structures technology around a strong core foundation while embedding IT deeply into each business, moving beyond “alignment” toward operating technology as the business itself. The conversation also explores Orbia’s pragmatic approach to AI, balancing productivity enablement, citizen development, and advanced use cases—along with the role of Global Capability Centers in building long-term innovation and talent strength. Andrea reflects on leading through uncertainty, the growing democratization of technology, and why resilience and adaptability are now defining leadership traits. This episode offers a grounded perspective on modern technology leadership, where transformation is continuous, experimentation is essential, and success is measured not by tools adopted, but by outcomes delivered. Tune in to hear: Why IT must evolve from a support function to a core operating engine How to modernize technology foundations without disrupting the business A realistic, staged approach to AI adoption in large enterprises The future role of GCCs as global innovation hubs Leadership lessons on resilience, reinvention, and lifelong learning

What does it take for Managed Service Providers to stay relevant as enterprise growth slows and AI complexity accelerates? In this episode of the Zinnov Podcast, Aly Shivji, Group Vice President – Global Partner Sales and Engineering (GSI | Advisory | MSP | Hyperscaler) at Cisco, joins Rajat Kohli, Partner at Zinnov, for a grounded conversation on how the MSP model has evolved over the past 12 to 18 months. The discussion looks at how MSPs are moving beyond managed delivery into advisory, co-engineering, and ecosystem-led value creation. Aly shares why specialization, business consulting upfront, and long-term customer engagement are becoming critical, and how security, AI management, and tool rationalization are shaping MSP differentiation. This episode is for technology leaders and partner ecosystem owners navigating increasing complexity across platforms, partners, and customers. Tune in now.

Financial services has long been the benchmark for trust, scale, and regulation. But in an age where innovation moves faster than policy, the sector is rewriting its own rulebook. In this episode of Zinnov Podcast, John Kain, Head of Financial Services Market Development at Amazon Web Services, joins Rajat Kohli, Partner at Zinnov, to unpack how cloud, data, and AI are reshaping the foundations of modern finance. From the democratization of innovation through the cloud to the rise of “buy now, pay later,” John reveals how the industry’s biggest disruptors are powered not just by technology, but by the courage to rethink legacy processes. He explores how generative AI is transforming compliance, risk, and customer experience, and why governance, trust, and explainability must evolve alongside innovation. The conversation dives deep into what’s next: agentic systems that will redefine financial workflows, open ecosystems that demand new forms of partnership, and the strategic shifts enterprises must embrace to turn experimentation into enterprise-grade production. For anyone navigating the intersection of finance, cloud, and AI, this episode offers a front-row view into how technology leaders are re-architecting the future of financial services, from capital expenditure to continuous innovation. Tune in now.

"If you don’t cannibalize your own business, your competition will." Most organizations today are grappling with the same reality: the systems and structures that made them successful weren’t built for what’s coming next. Legacy systems, monoliths, distributed teams, and AI moving faster than anyone planned - all while leaders try to move forward without breaking what already works. In this episode, Paiman Nodoushani, Chief Technology Officer, TRG Screen, joins Karthik Padmanabhan, Managing Partner, Zinnov for a grounded conversation on what real technology transformation looks like after multiple cycles of change. Paiman shares how companies modernize legacy systems, move to cloud-native architectures, and introduce AI in practical stages - while reshaping how teams work, prioritizing experimentation over early efficiency, and keeping the focus on what customers actually care about: simplicity. The conversation also touches upon leadership, culture, and why authenticity continues to matter, even as technology evolves faster than ever. Tune in now.

L’Oréal has spent more than a century defining beauty, and today, it continues that evolution through technology. In this episode, Susannah Greenberg, Chief Information Officer, Americas, L’Oréal, joins Pari Natarajan, CEO of Zinnov, to discuss how AI, data, and digital platforms are deepening L’Oréal’s connection with consumers and reshaping how beauty is experienced. From precise diagnostics and predictive skincare to AI-enhanced devices and digital try-ons, she breaks down how technology is personalizing beauty at an entirely new level. But the story goes far beyond products. Susannah shares how tools like L’Oréal GPT are transforming the way teams work, reducing repetitive tasks, accelerating problem-solving, and creating space for real creativity. She talks about talent, culture, and the energy inside L’Oréal: a place where new ideas constantly emerge and where creativity and technology meet every day. This episode offers a clear, thoughtful look at how a global brand integrates human insight with intelligent technology not to replace people, but to amplify what they do best. Tune in now.