Job Title: Chief Data Scientist and Head of Analytics
Company: New York Life
Glenn Hofmann is the Chief Data Scientist at New York Life, and leader of the Center for Data Science and Analytics (CDSA), a fast-growing and highly innovative team. He joined New York Life in July 2016. CDSA supports many areas of the company with data science and AI, such as Underwriting, Actuarial, Marketing, Agency Distribution, Service and Product.
Prior to joining New York Life, he built and lead analytics teams in Property and Casualty insurance (at Verisk, TransUnion and Allstate) and held leadership positions at Claritas, ID Analytics, and HSBC. Prior to his business career, Glenn served as Professor of Statistics at the University of Concepcion in Chile.
He received his Ph.D. in Statistics from The Ohio State University in 1997 and his MBA from the Wharton Business School in 2009.
Understand the composition of skills needed in your team to effectively communicate value of data analytics exercises to the business, driving adoption in the process. Lack of action isn’t always a lack of technical skill but of communication. Ensuring that business and non-technical users have information in a way that it can be used. Empowering… Read more.
Identifying a logical starting point for AI in the business: where will you see the most benefit? Building a foundation to deploy AI projects across the organization. Working with business users to create collaboration rather than competition and fears of job security.
Experiences in building a data science team from the ground-up and driving organizational understanding of the business benefits analytics can bring. Understand how to create a value-focused approach to develop advanced analytics capabilities in relevant business areas across an insurance enterprise. When, why and how? Developing the business case for an analytics center of excellence… Read more.