Kamayini Kaul

Global Head of Data Lakes & Integration Bristol-Myers Squibb

Kamayini Kaul joined Bristol-Myers Squibb in 2017 as the Global Head of Enterprise Data Lakes and Integrations.  In her current role, she leads the global IT capabilities for BMS’s data lakes, master / reference data and middleware integrations platforms and applications. She is also a key lead in the execution of BMS’s digital health vision enabling faster drugs from discovery bench to patients with proven and targeted clinical outcomes.

Kamayini is known for her innovative and results-oriented approach and prior to joining BMS, has held positions of increasing levels of responsibility at large companies such as GE Healthcare, Santander Holdings, and Shire Pharmaceuticals.   During her 16+ years of experience, she has held roles spanning from medical devices engineering to standing up enterprise wide capabilities around data management, governance and analytics. 

Kamayini received her MBA in Marketing, Strategy & Entrepreneurship from Kellogg School of Business, in Chicago, IL.  She also has an MS in Computer Science from the University of Chicago, and a BS in Computer Science from Illinois Institute of Technology.


Starting her journey in the corporate world as an engineer, she has always been an evangelist of corporate initiatives focused on Women in Technology, STEM and Diversity & Inclusion. She served as the Operations Leader for the GE Women’s Network NJ Hub and is an active member of the Healthcare Businesswomen’s Association of Boston and a former member of the Santander Women in Business Forum.


Agenda Day 1: Sunday, November 17, 2019

1:45 PM The Criticality of Tying Data Governance to Healthcare Outcomes

Healthcare organizations are increasingly expected to utilize advanced analytics to provide an array of actionable insights in a variety of clinical and commercial contexts. This panel will focus on gaining insights from a cross-collaborative panel of industry leaders who have successfully identified strategies to tailor their enterprises’ data governance structure to drive both improved business outcomes as well as improved clinical outcomes.