This is a profile image of Bhargs Srivathsan

Bhargs Srivathsan

Coleads the firm’s cloud operations and data center work and helps technology providers optimize their cloud infrastructure to unlock value for enterprises moving to public cloud

Bhargs coleads McKinsey’s cloud operations and optimization work, working closely with technology companies to help plan and optimize their cloud operations. She has extensive experience working with a range of technology clients, helping them on topics such as infrastructure demand forecasting and capacity planning, understanding unit economics from a cloud perspective, and optimizing a footprint on public cloud.

Examples of her recent client experience include the following:

  • leading an end-to-end cost diagnostic for a hyperscaler cloud services provider
  • advising a global cloud platform company on their forward-looking data platform strategy
  • serving a large software provider’s infrastructure team on optimizing their cloud operations across private and public cloud

In addition to her client work, Bhargs is passionate about mentoring and sponsoring women. She leads the firm’s internal initiative, “Women Who Cloud,” a global group of women colleagues passionate about serving clients on cloud-related topics. Prior to joining McKinsey, Bhargs worked in the high-tech industry and held roles across engineering and program management at Microsoft and Intel.

PUBLISHED WORK

The FinOps way: How to avoid the pitfalls to realizing cloud’s value,” McKinsey & Company, January 2023

Investing in the rising data center economy,” McKinsey & Company, January 2023

Cloud-migration opportunity: Business value grows, but missteps abound,” McKinsey & Company, October 2021

Transforming infrastructure operations for a hybrid-cloud world,” McKinsey & Company, October 2019

PAST EXPERIENCE

Intel
Program manager, technical lead

Microsoft
Software design engineer

EDUCATION

The University of Chicago Booth School of Business
MBA, strategy, finance, and international business

Texas A&M University
MS, computer science