This is a profile image of Delphine Nain Zurkiya

Delphine Nain Zurkiya

Senior PartnerBoston

A leader in the North America Life Sciences and Technology Practices

Delphine helps medtech, life sciences, healthtech, and technology companies define, accelerate, and operationalize their growth, digital, and AI transformations. She excels in helping clients streamline M&A, foster innovation, and optimize commercial strategies. As a member of the McKinsey Technology Council, Delphine currently leads McKinsey’s generative AI initiatives in Life Sciences and Healthcare.

Some examples of her recent work include:

  • playing a pivotal role in the launch of a generative AI healthtech product, including defining go-to-market and pricing strategies and operational plans, that has reached >60% utilization within the first 3 months
  • supporting the omnichannel growth transformation at a leading medtech, deploying a first-in-class AI/ML to improve lead generation, automation, and an agile operating model across the commercial team to orchestrate across channels resulting in improved customer engagement and growth
  • guiding the development of corporate strategy for a healthcare technology company that identified and operationalized a focused set of product, commercial, and operational initiatives resulting in 3x Enterprise Value in less than 3 years
  • helping lead an R&D transformation at a large, capital equipment medtech company focused on accelerating time-to-market for assets in the pipeline and improving lifecycle management

Delphine received her bachelor’s and Master of Engineering in computer science from MIT, and a PhD from Georgia Tech where she developed novel machine learning algorithms to aid medical diagnosis.

Before McKinsey, Delphine worked as a research scientist in the Medical Devices group at Siemens Corporate Research. She was also a research software engineer in the Surgical Planning Lab (SPL) at the Brigham and Women’s Hospital, where she was one of the founding engineers of the open-source software "3D Slicer," a widely used medical visualization application.

Published work

Generative AI in the pharmaceutical industry: Moving from hype to reality,” McKinsey & Company, January 2024

Does Medtech need a new way?” Device Talks Podcast, November 2023

Delivering a stellar experience for all key stakeholders in medtech,” McKinsey & Company, June 2023

What every CEO should know about generative AI,” McKinsey & Company, May 2023

How medtechs can meet industry demand for omnichannel engagement,” McKinsey & Company, March 2023

The future of medtech sales is hybrid,” McKinsey & Company, August 2022


Siemens Corporate Research
Research Scientist

Brigham and Women’s Hospital
Research Software Engineer


Georgia Tech

Master’s in Engineering