National General is looking to optimize commercial lines products by combining product management expertise with advanced analytics and data science to drive profitable growth, improve risk selection, and enhance customer experience.
Requirements
- Strong knowledge of statistical modeling, machine learning, and predictive analytics, with proven application to insurance business challenges.
- Proficiency with analytical/programming tools (e.g., Python, R, SQL, SAS) and modern data platforms.
- Solid expertise in commercial lines product development, underwriting, and pricing.
- Ability to communicate complex analytical insights clearly to technical and non-technical audiences.
Responsibilities
- Lead product development initiatives across the full lifecycle, from concept through implementation and market launch, ensuring alignment with business objectives.
- Drive the use of predictive modeling and machine learning to support rating, underwriting, and portfolio management, ensuring results are actionable and business-friendly.
- Review and communicate modeling approaches and outcomes to stakeholders, translating technical results into clear business implications.
- Introduce and evaluate new tools, data sources, and modeling techniques to improve decision-making and operational efficiency.
- Establish and maintain a product roadmap and future-state vision, driving alignment across teams and functions.
- Apply disciplined project management practices to deliver multiple initiatives on time and with measurable impact.
- Partner across functions (distribution, underwriting, claims, technology) to identify and implement new products, programs, and distribution opportunities.
Other
- 7+ years of experience in commercial insurance, product management, actuarial science, or data science, with success leading cross-functional initiatives.
- Demonstrated record of driving profitable growth through product and pricing innovation.
- Strong organizational and project management skills.
- Manage and develop a team with expertise in commercial insurance products, risk selection, pricing, analytics, and project execution.
- Candidates must possess authorization to work in the United States, as it is not our practice to sponsor individuals for work visas.
