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.

Early life and education

McNulty was born in Waterford, Ireland. McNulty obtained a PhD in Pure Mathematics from Imperial College, 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. 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. McNulty is also an advocate for the broader adoption of Mathematics and Data Science in the world of business. He is a self-declared open source enthusiast, and encourages the sharing of technical knowledge and code among professionals irrelevant of discipline, as well as a reduction in 'business lingo' and a deeper understanding of key analytical concepts among business professionals.

Publications

McNulty's academic publications have focused mostly on digital approaches to cognitive ability measurement. 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, and often outlines historical and current development of HR capablities. He also maintains extensive technical Data Science , a data science , and he has been recognized by LinkedIn 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.