Keith McNulty

Keith McNulty is a data scientist and industrial-organizational psychologist who is currently the founder and global leader of People Analytics and Measurement at McKinsey and Company. Originally a mathematician, McNulty has authored numerous publications related to the role of analytics in human resources and is reported to be involved in some experimental approaches to aptitude measurement.[1][2]

Keith McNulty
Keith McNulty
Alma materImperial College London
Known forOrganizational Psychology, People Analytics
Scientific career
FieldsData science, Psychometrics, Analytics, Mathematics
InstitutionsMcKinsey & Company

Early life and education

McNulty was born in Waterford, Ireland[3]. McNulty obtained a PhD in Pure Mathematics from Imperial College (1998)[4], proving a special case of EH Lieb's Permanent Dominance Conjecture.

Career

Soon after his PhD, McNulty joined McKinsey and immediately became interested in the field of Industrial-Organizational Psychology and the application of Mathematics to decisions related to organizations and talent. Initially he worked on transforming employee selection processes to be more scientifically-driven[5] . Subsequently, he oversaw the creation of McKinsey's People Analytics and Measurement group, and became an advocate for science and data-driven Human Resource practice[6]. McNulty is also an advocate for the broader adoption of Mathematics and Data Science in the world of business[7]. He is a self-declared open source enthusiast and encourages the sharing of technical knowledge and code among professionals irrelevant of discipline [8], as well as a reduction in 'business lingo' and a deeper understanding of key analytical concepts among business professionals [9].

Publications

McNulty's academic publications have focused mostly on digital approaches to cognitive ability measurement[10]. He also maintains a presence in several other publishing areas. He continues to emphasise the role of data and analytics in the development of Human Resources[11][12], and often outlines historical and current development of HR capablities[13]. He also maintains extensive technical Data Science publication[14], a data science blog[15], and he has been recognized by LinkedIn[16] for his role in the community of data and analytics professionals. He is frequently quoted or referenced in relation to work, digital or artificial intelligence topics across a variety of domains[17][18].

References
  1. Jack, Andrew (2020-06-04). "Will recruitment 'gamification' drive diversity or replicate biases?". www.ft.com. Retrieved 2020-07-03.
  2. Cheong, Weng. "I tried the McKinsey problem-solving game every candidate has to beat to land a 6-figure job at the firm. Here's exactly what you need to know to prepare for the test and impress recruiters". Business Insider. Retrieved 8 July 2020.
  3. Clancy, Michelle. "The late Alan Rickman's Waterford roots recalled". Retrieved 26 July 2020.
  4. McNulty, Keith (1998). Matrix functions on Hermitian positive semidefinite matrices and totally positive matrices (Thesis).
  5. "Keith McNulty at the Wharton People Analytics Conference 2017". People Analytics. 2017-03-31. Retrieved 2020-07-03.
  6. "Creating a Digital, Agile and Business Focused HR Function". myHRfuture. Retrieved 2020-07-03.
  7. Bhatia, Richa (2018-09-04). "Why Maths Is Getting Increasingly Important For Business Analyst Roles". Analytics India Magazine. Retrieved 2020-07-03.
  8. "HR Analytics Summit 2019". Retrieved 11 July 2020.
  9. Roper, Jenny. "The possibilities for prescriptive analytics in HR". Retrieved 13 July 2020.
  10. "Google Scholar". scholar.google.com. Retrieved 2020-07-03.
  11. McNulty, Keith (2018-04-23). "Talent Managers Should Prepare for a World of Data-Driven HR 3.0". Chief Learning Officer - CLO Media. Retrieved 2020-07-03.
  12. Howlett, Elizabeth (17 July 2020). "News Lack of data holding wellbeing strategies back, survey finds". People Management. Retrieved 19 July 2020.
  13. "When the Robots Take Over Will You Still Matter?". TLNT. 2018-12-14. Retrieved 2020-07-03.
  14. "Keith McNulty on Medium".
  15. "drkeithmcnulty.com".
  16. "LinkedIn Top Voices 2017: UK". www.linkedin.com. Retrieved 2020-07-03.
  17. Lebowitz, Shana. "Why embracing the lack of meaning in your job could ultimately help you find it". Business Insider. Retrieved 13 July 2020.
  18. Ward, Jeff (Spring 2019). "10 Things Judges Should Know About AI". Judicature. 103 (1): 12. Retrieved 13 July 2020.
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