IndusInd Bank has named Balaji Narayanamurthy as its Chief Data Officer (CDO), strengthening the private lender’s focus on advanced analytics, artificial intelligence and digital transformation.
IndusInd Bank said Narayanamurthy joins its senior management cadre as CDO with a mandate to design and execute the bank’s enterprise data strategy, build robust governance frameworks and embed data-driven decision-making across businesses and functions. The appointment is positioned as a key step in sharpening the bank’s competitive edge in areas such as personalised offerings, risk management and operational efficiency, at a time when Indian lenders are rapidly scaling up digital and AI-led capabilities.
Narayanamurthy brings more than 25 years of experience spanning banking, analytics, data science, technology and artificial intelligence across Indian and global financial institutions. Media reports highlight that he has worked extensively on using data and AI to drive revenue growth, improve customer engagement and streamline processes in large-scale banking environments.
Before joining IndusInd Bank, Narayanamurthy served at Axis Bank as President and Head of the Business Intelligence Unit and as Head of Enterprise AI, roles that involved building advanced analytics platforms and AI solutions for multiple banking verticals. He also sat on the board of Freecharge Payment Technologies, expanding his exposure to digital payments and consumer fintech.
Before his tenure in Indian banking, Narayanamurthy spent nearly a decade in the United States credit card industry, holding senior analytics and risk roles at Capital One and Barclaycard US after starting his career with Citibank in India. He holds a degree in electronics and communication engineering from IIT Madras and a postgraduate diploma in management from IIM Lucknow. These credentials underscore his blend of technical and managerial expertise.
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Industry observers view his appointment as reinforcing IndusInd Bank’s intent to scale its data, AI and digital initiatives, particularly in retail and SME banking, payments and risk modelling.
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