Data Director · Insurance
Data Leadership for Insurance Directors
You already know how to run a data organization. What you need here is the insurance context: how pricing models actually work, what solvency ratios mean for your roadmap, who the players are (insurers, reinsurers, brokers, regulators) and how they shape what data can and can't do. This program builds that foundation alongside a general data curriculum, so you're not learning two separate things, you're learning one thing applied to your world.
You'll get interactive tools to test scenarios on claims data and underwriting models, a concrete action playbook for rolling out data initiatives inside an insurance organization, and a sector-specific assessment that shows where you stand against peers in the field. This is built to move you from managing data to shaping how your company competes on it.
26 lessons · ~5 h · resumes where you left off
Your program
A focused program built on your vertical's content: the sector first, then your discipline applied to it.
The generalist Data track
The full craft of the discipline, beyond your sector.
More resources
Interactive tools
Frequently asked questions
Who is Data Leadership for Insurance Directors actually for?
It's for people who already run a data organization and need the insurance layer on top: pricing mechanics, claims, solvency constraints, and how insurers, reinsurers, brokers and regulators shape what a data team can ship. If you're still learning what a data roadmap looks like, start with a general data curriculum instead. The program assumes the management skills and adds the sector.
What's the difference between this and a general data strategy program?
A general program teaches the discipline in the abstract; Data Leadership for Insurance Directors teaches the same discipline against insurance realities. Pricing models, claims data and solvency ratios are treated as the working material, not as examples in a footnote. You cover one curriculum applied to your sector rather than two disconnected bodies of knowledge.
Do I need an actuarial background to follow it?
No. The insurance content explains how pricing models work and what solvency ratios imply for a data roadmap, from a leadership angle rather than a technical actuarial one. The goal is that you can challenge an actuary's assumptions and understand the constraints, not build the models yourself.
What do I get beyond the lessons?
Three things: interactive tools to test scenarios on claims data and underwriting models, an action playbook for rolling out data initiatives inside an insurance organization, and a sector assessment that positions you against peers in insurance. The playbook is the piece you take into your next steering committee.
How does the assessment work and what does it tell me?
It's specific to insurance and shows where you stand relative to other data leaders in the sector, so the gaps it surfaces are the ones that matter in your market. It's a self-positioning tool, not an exam: no diploma, no state-recognized certification, no school affiliation attached to it.
Where should I start if my priority is a pricing or claims project already underway?
Go to the interactive tools first and run your scenarios on claims data and underwriting models, then use the action playbook to frame the rollout inside your organization. The regulatory and solvency content matters next, since it usually determines what the model is allowed to do. Reading is open and free, and an account only exists to keep your progress.