This is a profile image of Sanjna Parasrampuria

Sanjna Parasrampuria


Brings extensive corporate and start-up experience at the intersection of strategy, new growth, and technology; helps traditional companies and established start-ups build and scale ventures and new products via data, tech, and AI

Sanjna brings deep expertise in innovation, business adjacencies, data monetization, and applied AI to her client work. She draws from 20 years of experience as banker, entrepreneur, and corporate innovator. She helps large companies and established start-ups build and scale new businesses, which includes identifying new growth vectors bridging strategy with implementation debates.

Prior to McKinsey, Sanjna held senior leadership and executive committee roles at global and regional financial-services and capital-markets corporations. She also successfully built and exited her start-up venture, a predictive sales and marketing analytics software-as-a-service (SaaS) offering. She has built businesses from the ground up to over $150 million with profit and loss ownership and helped regional and multinational companies invent, launch, and scale businesses that provide new growth and future optionality. She has pioneered data and analytics innovations in wealth and asset management, sustainable finance and investing, investment banking, and retail lending.

Examples of her recent engagements include the following:

  • designing and setting up a venture building subsidiary for a bank in Asia
  • defining the growth equity story and helping raise Series A financing from top-tier venture capitals for a green business venture of a Asian conglomerate
  • building and launching a future of work AI solution for private bankers enabling pre-emptive relationship management for a global bank
  • designing and building a sustainable finance and sustainable investing center of excellence for new green technology and data innovations for a global capital-markets provider

Published work

How AI-first firms are scaling models across their business,” Refinitiv, December 2020

Growth of machine learning in Asia and its drivers,” APAC CIO Outlook, August 2020

Wavelength Podcast: Refinitiv Labs on unstructured data,” Infopro Digital Risk, June 2020

Machine learning for risk and returns,” Refinitiv, June 2019

Past Experience

New growth and innovation

Thomson Reuters
Global director

Regional head, Asia–Pacific



University of Mumbai
PGDBA, finance

Narsee Monjee College of Commerce & Economics
BComm, mathematics