VP, Insurance Data Science — Pricing & Growth

Openly; United States; À distance; USD 180 000 - 240 000; Plein temps

Avantages offerts par ce poste

Remote-first culture

Competitive pay & equity

Comprehensive health coverage

Life & disability insurance

Paid parental leave

401(k) company contribution

Home office setup

Résumé du poste

Openly is seeking a VP of Insurance Data Science to set the strategic direction for data science across our insurance product, spanning cost and demand modeling and growth levers. You’ll manage and develop a high-performing team and report to the Chief Insurance Product Officer, influencing pricing and underwriting decisions.

The role requires deep modeling expertise, strong leadership, and cross-functional collaboration with pricing, product, and engineering.

Qualifications

• 15+ years of experience in data science or a closely related quantitative/actuarial field, with at least 8 years in a leadership role managing highly analytical teams.
• Deep technical fluency in predictive modeling — GLMs, gradient boosting, and modern ML methods — with demonstrated experience delivering production models in a regulated, data-intensive industry.
• Proven experience across both cost modeling (loss ratio, frequency, severity, pure premium) and demand modeling (conversion, retention, price elasticity), and the strategic judgment to prioritize across a portfolio of modeling initiatives.
• Extensive experience in personal lines insurance with models directly driving pricing and underwriting decisions; familiarity with the actuarial context in which data science operates is a strong differentiator.
• Track record of building and leading high-performing data science teams — not just managing delivery, but developing people, raising the technical bar, and creating an environment where rigorous analytical work thrives.
• Strong communicator and cross-functional collaborator, equally fluent in technical depth with data scientists and in strategic implications with executive leadership.
• Commercially minded: you understand how modeling decisions translate to loss ratios, growth, and profitability, and you manage your team’s work accordingly.
• Comfortable operating at a growth-stage company where strategic clarity and operational ambiguity coexist — and capable of creating structure without waiting for it to be handed to you.

Responsabilités

• Strategy & Leadership: Own the vision and delivery of Openly’s data science capabilities — prioritizing initiatives that drive pricing precision, underwriting performance, and profitable growth.
• Modeling & Research: Set the technical standard for cost and demand modeling, ensure models are production-ready and coherent with actuarial frameworks.
• Engineering & Standards: Collaborate on shared development standards and invest in infrastructure, tooling, and access for scale.
• People Leadership: Lead, expand, and develop the Insurance Data Science team, hiring in partnership with leadership, and mentor senior contributors.

Connaissances

Data science

Leadership

Communication

ML modeling

Outils

GLMs

Gradient boosting

Neural networks

Description du poste

Openly is seeking a VP of Insurance Data Science to set the strategic direction for data science across our insurance product, spanning cost and demand modeling and growth levers. You’ll manage and develop a high-performing team and report to the Chief Insurance Product Officer, influencing pricing and underwriting decisions.

The role requires deep modeling expertise, strong leadership, and cross-functional collaboration with pricing, product, and engineering.