VP, Insurance Data Science

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead the vision and execution of Openly’s data science capabilities.

• Focus on initiatives that enhance pricing accuracy, underwriting efficiency, and profitable growth.

• Collaborate with leadership in pricing, underwriting, product, and engineering.

• Act as the authoritative figure in insurance product data science methodology.

• Represent Insurance Data Science in discussions with senior leadership.

• Establish technical standards for cost and demand modeling utilizing GLMs, gradient boosting, neural networks, and other machine learning techniques.

• Drive modeling strategies for both existing and expanding states in homeowners and personal auto products.

• Oversee the model lifecycle from development through to validation, deployment, monitoring, and refresh.

• Work alongside actuaries to implement model outputs within regulatory and pricing frameworks.

• Enhance data science capabilities through strategic research in Data/Machine Learning Engineering.

• Collaborate on maintaining code quality, version control, peer reviews, testing, reproducibility, and documentation standards.

• Invest in infrastructure, tools, access, and scalable engineering capabilities.

• Assess and introduce new tools, platforms, and data sources.

• Lead, grow, and develop the Insurance Data Science team.

• Make hiring and team structure decisions in partnership with the Chief Insurance Product Officer.

• Mentor senior individual contributors and managers.

• Report directly to the Chief Insurance Product Officer.

⛳️ Requirements

• Over 15 years of experience in data science or a closely related quantitative/actuarial domain.

• A minimum of 8 years in a leadership position managing highly analytical teams.

• Profound technical expertise in predictive modeling, including GLMs, gradient boosting, and advanced machine learning methods.

• Proven experience delivering production models in a regulated, data-driven industry.

• Knowledge in cost modeling, encompassing loss ratio, frequency, severity, and pure premium.

• Experience with demand modeling, including conversion rates, retention, and price elasticity.

• Extensive background in personal lines insurance with models that directly influence pricing and underwriting decisions.

• Understanding of the actuarial environment in which data science functions.

• Demonstrated success in building and overseeing high-performing data science teams.

• Excellent technical and strategic communication abilities.

• Experience in collaborating across functions with both technical and executive stakeholders.

• Commercial insight into loss ratios, growth, and profitability.

• Capability to thrive in a growth-stage company characterized by strategic clarity and operational uncertainty.

🏝️ Benefits

• Competitive salary accompanied by equity options.

• Comprehensive medical, dental, and vision insurance plans.

• Life and disability insurance, including voluntary supplemental options.

• Up to 8 weeks (320 hours) of paid parental leave for eligible employees.

• Additional disability coverage available for birthing parents.

• 401(k) company contribution of 3% of gross income, regardless of personal contributions.

• $1,500 upfront allowance for home office setup.

• $75 monthly internet stipend.

• Annual professional development budget of $2,000.

• $50 monthly “Be Well” health and wellness stipend.

• Paid hours for volunteer work.

• Rewards for referrals.

• Flexible remote-first work arrangement.

• Certain roles may qualify for cash incentives or sales commissions.