Announcing Our October 2025 Metis Strategy Summit in NYC | Express Interest
Back to All Episodes
Episode 988

Aligning AI with Business Strategy: Inside the Operating Models of Thermo Fisher, Viatris, and Houlihan Lokey

June 26, 2025
More Ways to Listen
LISTEN TO PODCAST
Subscribe on Your Favorite Platform

About the Guest

Allen Fazio

Chief Information Officer at Houlihan Lokey
Allen Fazio is Chief Information Officer of Houlihan Lokey, a global investment bank with nearly eight years of tenure. Previously, he held senior technology leadership roles at Disneyland, including overseeing global IT strategy and operations.

Ramkumar Rayapureddy

Chief Information Officer at Viatris
Ramkumar Rayapureddy is Chief Information Officer at Viatris, a $15 billion global pharmaceutical company formed by the merger of Upjohn and Mylan. He has been with the company since 2014 and CIO since 2016, steering technology through major integrations and data modernization efforts.

Ryan Snyder

Senior Vice President and Chief Information Officer at Thermo Fisher Scientific
Ryan Snyder is Senior Vice President and Chief Information Officer at Thermo Fisher Scientific, a $40 billion global leader in serving science. He joined Thermo Fisher in 2014 through the acquisition of Life Technologies and has served as CIO since 2019, leading digital strategy across a 130,000-person workforce.

Episode Overview

In this episode of Technovation, we feature a panel from the Metis Strategy Summit moderated by Metis Strategy’s Co-Head of Executive Networks, Media, and Research Steven Norton, exploring how senior technology executives are aligning AI to their business strategy. Joining the conversation are Ryan Snyder, CIO of Thermo Fisher Scientific; Ramkumar Rayapureddy, CIO of Viatris; and Allen Fazio, CIO of Houlihan Lokey.

Together, they share how their organizations are evolving from isolated AI pilots to holistic strategies grounded in business value, robust governance, and relentless data modernization. The panelists discuss the practical realities of establishing clear measurement frameworks, navigating the tension between centralized control and decentralized innovation, and leading cultural change as AI adoption accelerates across regulated and fast-moving industries.

Topics include:

  • Building measurement frameworks to align AI with core business objectives
  • Defining guardrails and governance models for safe, scalable AI innovation
  • Approaches to data consolidation and ownership in the age of AI
  • Enabling decentralized creativity without losing strategic oversight
  • Upskilling technology and business teams to meet new demands
Social Media

Share On Your Favorite Platform