Inderpal Bhandari

Global Chief Data Officer at IBM

Inderpal Bhandari is a renowned figure in the data and analytics industry, having been recognized multiple times for his innovation and vision in the field.

He has an extensive educational background, holding a Doctor of Philosophy (PhD) in Computer Engineering from Carnegie Mellon University, a Master of Science (MS) in Computer Engineering from the University of Massachusetts, Amherst, and a Bachelor of Technology (BTech) in Electrical and Electronics Engineering from Birla Institute of Technology and Science.

Throughout his career, Inderpal has held prominent positions in various organizations, including serving as the Global Chief Data Officer at IBM, Member of the Board of Directors at United Way of the Columbia-Willamette, Senior Vice President and Chief Data Officer at Cambia Health Solutions, Chief Data Officer & Vice President, Knowledge Solutions at Express Scripts, Chief Data Officer & Vice President, Health Data & Analytics at Medco, Chairman & Chief Executive Officer at Virtual Gold, Inc, and Research Staff Member at IBM.

Inderpal Bhandari has been honored with several prestigious awards, such as being named in the Global Top 100 Innovators in Data & Analytics by Corinium, the Top 100 Data Visionaries by Truata, and the Top 50 Data and Analytics Professionals in the USA and Canada by Corinium, among others.

He was also recognized as the U.S. Chief Data Officer of the Year in 2017 by the CDO Club.

His expertise and influence in the data industry are further highlighted by being listed as one of the 21 influential and innovative Chief Data Officers working in New York by DATAx Innovation Enterprise.

In addition to his professional endeavors, Inderpal has been involved in academic pursuits, having studied at renowned institutions such as Carnegie Mellon University, the University of Massachusetts, Amherst, and Birla Institute of Technology and Science.

With a proven track record of leadership and innovation, Inderpal Bhandari continues to make significant contributions to the data and analytics landscape.