Skip to main content

Building a Holistic Data Science Function at New York Life Insurance

June 13, 2022

In this episode, we talk about how Glenn Hofmann built New York Life Insurance’s 50-person data science and AI function, how they utilize skillsets to offer different career paths for data scientists, and much more.

View Transcript

Key Takeaways


The key to creating value with data science is to always envision how a project or product will be implemented and utilize a smooth system of fast deployment.


When developing data science functions, data leaders from the onset should enable career pathways for their data talent.


Model governance leaders need to not only understand all of the algorithms and data, but they need to understand regulation and legislation for both the present and the future.

Key Quotes

Data Scientists have to constantly talk with stakeholders, consistently helping them understand the value of data science as it relates to their business problems, and data scientists need to understand those business problems and everyday concerns. Great stakeholder relationships can really only happen when both parties understand where they are each coming from.

We want to build great models that we can trust and that are diligent and sound, but if they aren’t deployable, then they are pointless. As soon as the first model reaches a stage where you consider how it will be deployed, the ML ops function can help data scientists build models that are ready for production throughout the process, both from a code perspective and from a data perspective.

About Glenn Hofmann

Photo of Glenn Hofmann
Glenn Hofmann

Glenn Hofmann is the Chief Analytics Officer at New York Life Insurance Company (NYL), a Fortune 100 firm, where he applies extensive knowledge in applied statistics, analytics, and data infrastructure with deep expertise in building and leading large teams of data- and analytics-focused professionals from the ground up to influence strategy as well as transactional decisions through data science-driven innovation. Glenn brings with him over 20 years of global leadership experience in data, analytics, and artificial intelligence across the US, Germany, and South Africa.

Photo of Adel Nehme
Adel Nehme

Adel is a Data Science educator, speaker, and Evangelist at DataCamp where he has released various courses and live training on data analysis, machine learning, and data engineering. He is passionate about spreading data skills and data literacy throughout organizations and the intersection of technology and society. He has an MSc in Data Science and Business Analytics. In his free time, you can find him hanging out with his cat Louis.

← Back to podcasts