VP Commercial Actuarial Pricing and Data & Analytics
CSAA Insurance Group, a AAA Insurer
VP Commercial Actuarial Pricing and Data & Analytics
Arizona, United States · Remote · Yesterday
- Salary
- $180k - $266kest.
- Experience
- 10+ Years
Role Summary
Role type
Pricing partner to underwriting and strategic partners
Closer to a commercial pricing partner than a modelling-heavy individual contributor because external negotiations and growth decisions are central to the mandate.
Executive P&C role based in Arizona with a remote-first home-teleworker arrangement. You will lead commercial auto pricing and data & analytics for mobility products, including rideshare, delivery, autonomous vehicles, telematics, and usage-based insurance. The role combines pricing strategy, predictive analytics, partner negotiations, and leadership of actuarial, data science, and analytics teams.
Requirements
Must have
- Must be eligible to work in the US without visa sponsorship
Strongly preferred
- 10+ years progressive experience in actuarial pricing, ideally commercial auto or P&C
- 7+ years leading department or enterprise-wide large cross-functional programs, with 3+ years directly managing others
- Bachelor's degree in Actuarial Science, Mathematics, Statistics, or related discipline
- Deep understanding of mobility trends, commercial insurance economics, and growth levers
- Mastery of pricing, ratemaking, and risk segmentation
- Strong knowledge of predictive modeling, telematics, and machine learning applications
- Ability to operate effectively in partner-driven, platform-based business models
- Experience thriving in start-up or high-growth environments
- Ability to translate complex analytics into clear, actionable insights for senior leadership and partners
- Experience supporting large-scale partnerships or embedded insurance models
- FCAS or equivalent actuarial designation
Nice to have
- Demonstrated success leading pricing strategy in data-rich environments (e.g., telematics, usage-based insurance)
- Advanced degree (MBA, MS in Data Science/Analytics)
- Ability to create collaborative, inclusive environment