About
Tiger Tyagarajan has spent over 30 years as a C-suite leader driving digital and business transformation for global enterprises. He built and transformed a division of General Electric (GE) into Genpact growing the division to $4.5 billion in revenue. Previously, Tiger spent many years at Unilever, Citibank, and GE in various roles spanning sales, global technology and operations, risk management, and business leadership. His areas of specialty include digital technology, GenAI, AI/ML, and SaaS business investments.
Tiger Tyagarajan is a member of the HTEC Advisory Board and has spent over 30 years as a C-suite leader driving digital and business transformation for global enterprises. He built and transformed a division of General Electric (GE) into Genpact. As president and CEO from 2011 to 2024, he grew Genpact to an enterprise of over 130,000 people and $4.5 billion in revenue. The organization operates in over 30 countries and works with 300 Fortune 500 companies.
Prior to Genpact, Tiger spent many years at Unilever, Citibank, and GE in various roles spanning sales, global technology and operations, risk management, and business leadership. His rich background includes driving strategies for leveraging GenAI and other cloud technologies as well as data and analytics in large global corporations. He also serves as senior advisor to BCG, Brighton Park Capital, and several private equity and venture capital firms. His areas of specialty include digital technology, GenAI, AI/ML, and SaaS business investments.
Tiger has a degree in mechanical engineering from the Indian Institute of Technology in Mumbai, and a master’s degree in business administration from the Indian Institute of Management in Ahmedabad. He splits his time between London, New York, and Mumbai.
Industry
Financial Services & Insurance, Professional Services, Private Equity & Venture Capital
Recent Publications
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Avoiding common pitfalls in the final stage of AI product lifecycle — Delivering on data and AI promises (part 3)
Avoid pitfalls in the delivery phase of AI projects through aligned engineering approaches, the right leadership, SMEs on hand, and clear success metrics.
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Do AI products need therapy? Leveraging psychology for better AI product development.
As AI continues to transform the market, companies rush to capitalize on the trend, often without considering if their products (or end users) need AI. This haste has led to a surge in failure rates, with estimates suggesting that more than 80% of AI-driven projects fall short of expectations — almost twice the failure rate…
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Retail & e-commerce trends for 2025
Explore the top retail trends for 2025, including AI-driven personalization, omnichannel strategies, and immersive in-store tech shaping customer experiences.