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Vice President and Head | Global Decision Science India and AI Platforms at American Express
Seasoned leader with over 23 years of experience in the Credit and Fraud Risk, leading data science and ML/AI practice to build global solutions for solving various business problems with specialisation in Risk and Marketing domains. I have successfully led large, cross-functional global teams and take pride in recruiting the best talent and grooming them for leadership positions across American Express and continually engaging with Premium Campuses and the Industry to elevate the American Express Brand.
Management Development Institute, Gurgaon
MBA, Finance
January 1, 2000 – January 1, 2002
Anna University Chennai
B.Tech, Chemical Engineering
January 1, 1994 – January 1, 1998
American Express
Vice President and Head | Global Decision Science India and AI Platforms
September 1, 2023 – Present
American Express
Head - Global Commercial and Merchant Risk Decision Science
May 1, 2021 – August 1, 2023
American Express
Vice President, Global Commercial Payments Decision Science & Machine Learning/Data Science Research
June 1, 2016 – May 1, 2021
American Express
Vice President, International Consumer Risk Decision Science
January 1, 2014 – May 1, 2016
American Express
Director , Risk and Information Managment
January 1, 2011 – December 1, 2013
American Express
Director , Risk Management
January 1, 2008 – December 1, 2010
American Express
Senior Manager, Risk Consulting
January 1, 2007 – January 1, 2008
American Express
Manager, Underwriting Risk
December 1, 2005 – December 1, 2006
American Express
Manager, Fraud Risk Management
January 1, 2005 – December 1, 2005
American Express
Assistant Manager/Management Trainee, Fraud Risk Management
May 1, 2002 – December 1, 2004
Reliance Industries Limted
Assistant Manager
April 1, 1998 – April 1, 2000
Machine Learning
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career is almost exclusively within American Express, demonstrating long-term commitment and ability to thrive in a large corporate environment. Their roles involve leading diverse global teams and driving strategic initiatives, which aligns with a culture that values leadership, innovation, and global collaboration. However, the lack of diverse industry experience or project types outside of financial services and risk management might indicate a more specialized cultural fit rather than broad adaptability. The target role 'Software Engineer' is a significant departure from their extensive leadership and data science management background, suggesting a potential mismatch in day-to-day responsibilities and technical depth required for a hands-on engineering role.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, strategic thinking, and team management skills through their extensive career progression at American Express. Their roles involved significant collaboration with chief credit officers and managing audit/regulatory requirements, indicating strong operational acumen and stakeholder management. The focus on talent hiring strategy also suggests a commitment to team development and operational excellence.