What are the responsibilities and job description for the Lead PM - Data Transformation & Modeling position at Mutual Capital Holdings?
Lead Product Manager – Data Transformation & Modeling
Role Overview
The Lead Product Manager, Data Transformation & Modeling is responsible for leading the design, optimization, and continuous evolution of insurance products through advanced data analytics, actuarial modeling, and modern data infrastructure. This role sits at the intersection of product strategy, underwriting, actuarial science, and data science, translating complex analytical insights into actionable product decisions that drive profitability, growth, and competitive differentiation.
This individual will own product outcomes for clients across pricing, segmentation, underwriting rules, and performance monitoring, with a strong emphasis on transforming raw data into scalable, model-driven product capabilities.
Key Responsibilities
- Own the end-to-end product lifecycle for assigned insurance products (e.g., BOP, GL, Property, Auto, Homeowners), from concept through launch and ongoing optimization.
- Define product vision and roadmap grounded in data-driven insights, market benchmarks, and portfolio performance.
- Translate business objectives (growth, profitability, retention) into analytical and modeling requirements.
- Lead initiatives to modernize product data pipelines, ensuring clean, well-structured, and analysis-ready datasets across policy, quote, exposure, loss, and third-party data sources.
- Ensure alignment between source systems, analytical datasets, and downstream product tools (pricing engines, underwriting workbenches, dashboards).
- Collaborate closely to design, implement, and refine pricing models, segmentation frameworks, and underwriting scorecards.
- Translate model outputs (relativities, lift, elasticities, loss drivers) into clear product rules, rating variables, and underwriting guidance.
- Evaluate and integrate third-party data sources to enhance risk differentiation and pricing accuracy.
- Support model monitoring, performance diagnostics, and recalibration strategies over time.
- Ensure regulatory, filing, and compliance considerations are incorporated into product and modeling decisions.
- Lead post-launch reviews and ongoing optimization efforts using empirical performance data.
- Identify opportunities for automation, simplification, and straight-through processing enabled by data and models.
Required Qualifications
- 5 years of experience in insurance product management, actuarial, analytics, or a closely related role.
- Strong understanding of P&C insurance products, rating plans, underwriting workflows, and regulatory considerations.
- Experience with modern analytics tools and platforms (e.g., SQL, Python, R, Tableau/Power BI, Akur8, Earnix, Radar, or similar).
- Familiarity with third-party insurance data sources (credit, property, telematics, geospatial, business data).
- Exposure to pricing modernization, underwriting automation, or digital transformation initiatives.
- Hands-on experience working with analytical outputs (e.g., GLMs, machine learning models, segmentation analyses).
- Proven ability to translate technical and actuarial concepts into clear product and business decisions.
- Experience working with large, complex datasets and collaborating with data engineering or data science teams.
- Strong executive communication skills and comfort presenting analytical insights to senior leadership