Episode 127: Data Intelligence for Insurance Transformation with Heather Wentworth
Show Notes
- (01:44) Heather talked about her upbringing, her education, and her 14-year career at Liberty Mutual Insurance.
- (06:50) Heather emphasized the benefits of her education in organizational design and management.
- (08:56) Heather walked through her decision to shift from underwriting to technology and data at Liberty.
- (13:55) Heather commented on her 5 years as a product manager at Crum & Forster.
- (20:14) Heather described her 2-year experience as the Global Head of Technology at Innovisk (a Wills Towers Watson ).
- (23:54) Heather distinguished the work environments in a startup and a large company.
- (26:17) Heather recalled different data strategy initiatives she led at Brown and Brown Insurance.
- (28:33) Heather explained issues in the insurance value chain and the role of data to help tackle them.
- (34:17) Heather discussed her role as the founding Chief Data Officer at Accelerant Holdings.
- (40:18) Heather brought up the data quality issues that Accelerant risk exchange helped solve.
- (45:52) Heather gave advice to organizations to move from data governance to Data Intelligence.
- (48:45) Heather provided her perspective on hiring data talent.
- (50:40) Heather looked at the insurance transformation from a technology perspective.
- (52:52) Heather talked about engaging women in technical fields.
- (54:22) Closing segment.
Heather's Contact Info
Relevant Reading
- Bloomberg | Boehly'sHeather's Eldridge Bets on Accelerant at $2.2 Billion Valuation
- Insurance Business Mag | Accelerant: An insurtech that defies categories
- Business Insurance | Accelerant establishes $175 million sidecar reinsurer
- AI Times Journal | Data Intelligence is Key to Understanding our Customers – Chief Data Officer, Accelerant Holdings
- Lightco | Insurance Innovators Top 100
- Business Wire | Accelerant Launches the Accelerant Risk Exchange to Reimagine Insurance
Mentioned Resources
People
Book
- Data Mesh: Delivering Data-Driven Value at Scale (by Zhamak Dehghani)
About the show
Datacast features long-form, in-depth conversations with practitioners and researchers in the data community to walk through their professional journeys and unpack the lessons learned along the way. I invite guests coming from a wide range of career paths — from scientists and analysts to founders and investors — to analyze the case for using data in the real world and extract their mental models (“the WHY and the HOW”) behind their pursuits. Hopefully, these conversations can serve as valuable tools for early-stage data professionals as they navigate their own careers in the exciting data universe.
Datacast is produced and edited by James Le. For inquiries about sponsoring the podcast, email khanhle.1013@gmail.com.
Subscribe by searching for Datacast wherever you get podcasts, or click one of the links below:
If you’re new, see the podcast homepage for the most recent episodes to listen to, or browse the full guest list.
About the show
Datacast features long-form, in-depth conversations with practitioners and researchers in the data community to walk through their professional journeys and unpack the lessons learned along the way. I invite guests coming from a wide range of career paths — from scientists and analysts to founders and investors — to analyze the case for using data in the real world and extract their mental models (“the WHY and the HOW”) behind their pursuits. Hopefully, these conversations can serve as valuable tools for early-stage data professionals as they navigate their own careers in the exciting data universe.
Datacast is produced and edited by James Le. For inquiries about sponsoring the podcast, email khanhle.1013@gmail.com.
Subscribe by searching for Datacast wherever you get podcasts, or click one of the links below:
If you’re new, see the podcast homepage for the most recent episodes to listen to, or browse the full guest list.
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