His near-term priorities include building scalable
On their agenda
His near-term priorities include building scalable
Modern data and AI foundations. He advocates for balancing defensive data governance—reducing risk and ensuring compliance—with offensive governance to enable innovation. Key initiatives involve ensuring AI is built on clean
Data governanceTrusted
And well-governed data
Data governanceWhile leveraging AI-assisted development to improve engineering productivity.
AI strategyIn the room



Working on now
Connecting enterprise data and AI strategies to critical business priorities
About
<p>Anand Singhal is a seasoned Data & AI executive with over 25 years of experience leading enterprise data strategy, AI transformation, and large-scale data engineering initiatives across the insurance, financial services, and hospitality industries. As Vice President of Enterprise Data & Analytics at Unum, and formerly a senior leader at Marriott International and GE Capital, he has been instrumental in transforming legacy data environments into modern, cloud-native platforms while advancing enterprise AI adoption.</p><p>Anand specializes in Generative AI, enterprise data platforms, and data governance, with a strong focus on enabling data-driven decision-making at scale. A graduate of the Chief Data & AI Officer Program at Michigan Ross, he is recognized for aligning data and AI strategies with business objectives to accelerate growth, improve operational efficiency, and strengthen regulatory compliance.</p>
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