Data governance
Data governanceField notes from the rooms where enterprise AI gets decidedNext room: Singapore & New York · 13 Nov 2026
On their agenda
Five priorities, mapped against profiled leaders
AI integration
AI strategyRisk management
Data governanceCompliance
Data governanceStakeholder engagement
AI strategy59%Digital transformation53%Operational efficiency48%Analytics & decisions38%Talent & culture36%Growth & partnerships31%Data platforms28%Data governance26%Customer experience21%
Working on now
Refining data governance frameworks at Citi, implementing AI solutions that improve data quality and streamline compliance processes
About
Debjit Nag is a seasoned Data and AI executive based in Denver, Colorado, with over 13 years of experience in the financial services sector. Currently, he focuses on data governance, data quality, and leveraging AI to drive business outcomes. Debjit is recognized for his ability to transform frameworks into actionable processes, ensuring compliance, risk management, and executive reporting are implemented effectively across organizations.
Summarised from public LinkedIn activity ·
Talks about
- 01Experience at Citi and data quality challenges
- 02Importance of risk-based review processes
- 03Future of data governance in AI landscape
- 04Best practices for stakeholder alignment
Each topic links to the sessions, field notes and Pulse findings on that theme.
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