#91 Building a Holistic Data Science Function at New York Life Insurance episode artwork

EPISODE · Jun 13, 2022 · 38 MIN

#91 Building a Holistic Data Science Function at New York Life Insurance

from DataFramed

When many people talk about leading effective Data Science teams in large organizations, it’s easy for them to forget how much effort, intentionality, vision, and leadership are involved in the process. Glenn Hofmann, Chief Analytics Officer at New York Life Insurance, is no stranger to that work. With over 20 years of global leadership experience in data, analytics, and AI that spans the US, Germany, and South Africa, Glenn knows firsthand what it takes to build an effective data science function within a large organization. In this episode, we talk about how he 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, building relationships across the organization, and so much more. [Announcement] Join us for DataCamp Radar, our digital summit on June 23rd. During this summit, a variety of experts from different backgrounds will be discussing everything related to the future of careers in data. Whether you're recruiting for data roles or looking to build a career in data, there’s definitely something for you. Seats are limited, and registration is free, so secure your spot today on https://events.datacamp.com/radar/

Episode metadata supplied by the publisher feed · Published Jun 13, 2022

Embed this episode

Ready to play

#91 Building a Holistic Data Science Function at New York Life Insurance

0:00 38:28

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

No similar podcasts found.

Frequently Asked Questions

How long is this episode of DataFramed?

This episode is 38 minutes long.

When was this DataFramed episode published?

This episode was published on June 13, 2022.

Can I download this DataFramed episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!