First commercially, across the world's largest companies - then operationally, inside the most global bank.
Choose Wisely. Transform Deeply.
The organizations winning with AI are not building the most - they are choosing the wisest. They invest where human potential is amplified, where growth becomes unprecedented, and where customers and colleagues experience something meaningfully better. That is the discipline behind a culture where AI and human ambition rise together.
Trust Engineered, Not Retrofitted
Trust at scale is the ultimate competitive advantage. Ethics and governance should be woven into the design - because you believe in it, not because compliance demands it. It means AI that amplifies human judgment at every layer, on a platform engineered for scale, control, and the flexibility to lead wherever the future takes you.
Global Head of AI · Managing Director · 2025+
As the Global Head of AI for Citi, Shobhit leads AI strategy, business value realization, and scaling AI responsibly. He is focused on delivering measurable outcomes - unprecedented growth, exceptional client and colleague experiences, strengthening controls, and boosting productivity.
"In F1, the engine gets the glory - but races are won when the brakes, harness and crew amplify the driver's ability to push the limits. That's how I think about enterprise AI"
Head of Data & AI, IBM Consulting · VP & Senior Partner · 2012 – 2025
As Head of Data & AI for IBM Consulting, Shobhit led large transformational engagements hands-on across Fortune 100 brands. He was accountable for growing Data & AI revenues, Agentic AI offerings, enhancing delivery and skills. He also championed IBM’s own “Client Zero” AI transformation unlocking $4.5B+ in value.
"A dishwasher produces a superior outcome by reimagining the entire process, not merely making handwashing faster. That is the mindshift that unlocks what AI can truly do."
Software-driven battery management for mobile PCs, simulating always-connected scenarios without the always-on cost.
Identifying the evolving influence of key opinion leaders to maximize downstream sales impact.
Market-share forecasting under changing consumer preferences during repeat purchases.
Automated analytical modeling where model sequences and hyperparameters self-select to minimize error.
One letter. Practitioner-written. No AI slop.
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