Data Science Hangout
summary
Gen Re handles about $14 billion in reinsurance and builds an enterprise data architecture that pulls from global apps into Azure with Databricks and Posit, plus Power BI for reporting. The team creates a production support model for 24/7 global use, uses CICD pipelines to move models from dev to prod, and enforces engineering backgrounds on direct reports. An internal R community and regional champions drive adoption away from Excel, while an AI working group prototypes deployable data products.
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chapters (20)
- 0:00Introduction
- 1:28Matthew Montero introduces himself and Gen Re
- 3:34Chief Data Officer role
- 5:40Models to production
- 7:08Career trajectory leading to Chief Data Officer
- 9:58Leadership book recs
- 11:03Actuaries and R
- 12:50Internal R communities
- 15:59Team presentations
- 17:06Balancing leadership with hands-on technical work
- 19:14IT and business teams
- 21:44Remote IT relationships
- 23:09Model deployment infra
- 24:56Building analytics team
- 26:42Adopting new tech
- 28:52Modernize data platforms
- 30:34Unified data strategies
- 32:22Hands-on technical responsibilities in leadership
- 34:27Career advice
- 35:09Closing remarks
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