Chas Murphy in

Chas Murphy

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Adjunct Faculty at Carnegie Mellon University
📍 Glendale, California, United States

Chas Murphy is the SVP of Data Science & Analytics at SiriusXM, leveraging machine learning and AI to drive business results. He has a history of leading data-driven corporate turnarounds at Fortune 100 companies like General Motors and Infiniti. He holds advanced degrees from Northwestern and UC Berkeleys Haas School of Business.

His academic pursuits included involvement with finance and investment clubs during his MBA at UC Berkeley. His Masters thesis at Northwestern focused on utilizing ensemble machine learning for stock market prediction, indicating a strong interest in quantitative finance and market dynamics.

He was named one of AutoWeek Magazines "10 Secret People for the decade," highlighted as a rising star poised to shape the industrys future.

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Experience
8 Years
Current Role
Adjunct Faculty
Job Level
Leadership
Location
Glendale, California, United States
Personality Overview

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Decision Approach
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Priorities

Topics Chas cares about

AI & Personalization
Leads the implementation of machine learning and personalization science for business applications at media and technology giant SiriusXM.
Data-Driven Strategy
Has a career focus on instilling strategy through analytics, leading corporate turnarounds and developing global business plans backed by data science.
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Career

Work history

7-2024
Adjunct Faculty
Carnegie Mellon University
12-2023
Senior Vice President, Data & Analytics (DnA), Direct-to-Consumer, Disney Entertainment
The Walt Disney Company
11-2022 - 12-2023
Member of the Board of Advisors
Modal
1-2022
Member of the Board of Advisors, MSIS - Digital Transformation
Northwestern University
3-2018 - 12-2023
Senior Vice President, Data Science, Analytics, Research & Insights
SiriusXM
In the press

Media appearances

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Education
Master of Business Administration - MBA
University of California, Berkeley, Haas School of Business
Master of Science - MS
Northwestern University
Social presence
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Behavioral profile

DISC profile (public)

DISC behavioral profile

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