Top 10 Chief Data and AI Officers in Indian Enterprises 2026
Neeraj Sabhnani
Head of AI, Data & Analytics, Coromandel International

Photo — Coromandel International
Neeraj Sabhnani runs AI, data and analytics at Coromandel International, the Murugappa Group's agri-inputs major, which makes him this cohort's physical-economy entry. Where the rest of the list deploys models against loan books, policies and portfolios, Sabhnani's stack works on soil nutrition, monsoon-dependent demand, plant operations and a supply chain moving millions of tonnes of fertiliser across rural India. His mandate since April 2024 covers an enterprise-wide AI and GenAI strategy spanning sales, marketing, manufacturing, supply chain, finance and procurement, with a stated ₹100+ crore in measurable business impact. The influence signals run wider than most: nominated by Coromandel and the Government of India's CWC National Authority, he represented India as an AI expert at the OPCW's global conference on AI and the Chemical Weapons Convention in Morocco — 190 participants from 46 states — speaking on AI for peaceful uses of chemistry, and he addresses the Fertilizer Association of India's management programmes on AI in agriculture.
His route into Indian manufacturing runs through a quarter century of global tech. Microsoft in the data-platform years, then head of data and analytics for Verizon India, the same role at ServiceNow India, and most recently AI leader for HP's global finance organisation, where he drove GenAI adoption across financial operations. Along the way he has scaled data and AI organisations past 300 professionals and stood up AI Centres of Excellence inside Fortune 500 ecosystems. The academic stack is among the heaviest on the list: B.Tech from IIT Delhi, ISB Hyderabad's AMPBA, an M.Tech in data science from BITS Pilani, and an MBA. The archetype is the hyperscaler-trained operator carrying global AI operating discipline into Indian manufacturing — the manufacturing mirror of Binit Jha's Wall Street-to-IDBI transfer, and proof the list's scope reaches beyond BFSI the way your description promises.
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