The Top 24 Women Enterprise AI Leaders in India

Jayanthy Anand

Corporate SVP, WNS, part of Capgemini

Jayanthy Anand

Photo — WNS, part of Capgemini

Jayanthy Anand is the Corporate Senior Vice President at Capgemini, where she leads a high-impact data and AI practice serving global clients across retail, consumer packaged goods (CPG), hospitality, insurance, and media. Over the past several years, she has overseen the delivery of production-grade data and AI solutions across more than 60 countries, spanning use cases such as churn prediction, customer lifetime value (CLV) modelling, fraud analytics, and demand forecasting.


She has led the implementation of advanced generative AI solutions powered by Azure OpenAI and multi-agent orchestration frameworks. These include multi-agent NL2Insight engines, voice call classification systems, agentic campaign personalisation platforms, competitive intelligence solutions, and content localisation capabilities. Under her leadership, the practice has also built a strong proof-of-concept pipeline across consumer goods, grocery, entertainment, and healthcare sectors, reflecting growing demand for scalable, outcome-driven AI solutions.


A key focus of Anand’s work has been the development of reusable intellectual property to create a structural delivery advantage. This includes proprietary accelerators for intelligent data ingestion, data quality management, AI-enabled master data management (MDM), data marketplaces, and self-service business intelligence. She has also championed frameworks that rapidly generate industry-specific data models, helping reduce implementation timelines and improve consistency across programmes.


In parallel, Anand has contributed thought leadership in areas including modern data architectures, AI governance, and agentic platforms. Her combination of large-scale enterprise delivery experience, proprietary accelerators, and forward-looking innovation has helped organisations industrialise AI and generate measurable business outcomes from their data assets.



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