Director, General Liability Pricing Analytics - REMOTE

As a team member in Finance at Nationwide, a Fortune 100 company with nearly $70 billion in annual sales, the opportunities are endless! Let Nationwide help create your career journey! At Nationwide®, “on your side” goes beyond just words. Our customers are at the center of everything we do and we’re looking for associates who are passionate about delivering extraordinary care.

Director, General Liability Pricing Analytics

The Role

In this position, you will work at the intersection of predictive analytics, actuarial thinking, and pricing strategy. You will partner closely with teammates and business partners to build, enhance, and refine models that support general liability insurance pricing. You will also have the opportunity to work across a variety of projects, expand your technical toolkit, and deepen your understanding of how modeling drives real business outcomes.

As Director, General Liability Pricing Analytics, you will serve as the senior technical leader for General Liability pricing data science and price modeling. You will lead the development, enhancement and implementation of pricing models and data science solutions that support profitable growth, competitive market position and sound underwriting decisions.

This is a hands-on people leadership role with direct reports. You will combine deep expertise in actuarial, statistical and predictive modeling with the ability to translate complex analysis into clear recommendations for Actuaries, Underwriting, Product, Claims, Finance and senior business leaders. You will guide and develop analytical professionals, including direct reports, lead complex work across functions and help establish consistent standards for model quality, documentation, validation and use.

Key Responsibilities

Technical and Model Leadership

Set technical direction for General Liability pricing strategy, segmentation, rating analysis, portfolio insights and model delivery.

Lead the research, development, implementation and monitoring of advanced statistical, actuarial, predictive and risk models.

Explore and pilot emerging AI tools and advanced statistical methods to improve General Liability price modeling and analytical workflows, while maintaining appropriate standards for governance, validation, explainability and production readiness.

Evaluate data, assumptions, methodologies and model outputs; identify limitations or unreasonable results and recommend corrective actions.

Own model governance standards covering validation, documentation, reproducibility, implementation readiness and business continuity.

Business Partnership and Decision Support

Translate underwriting and business needs into clear analytical questions, recommendations and delivery plans.

Partner with Actuaries, Underwriting, Product, Claims, Finance, Data, Analytics, and Technology teams to ensure analytical solutions are understood and applied effectively.

Convert complex findings into concise recommendations and decision materials for technical, non-technical and senior leadership audiences.

Advise on products, data needs, rating approaches, implementation implications and opportunities to improve profitability and underwriting decisions.

Delivery and Continuous Improvement

Lead complex projects, cross-functional reviews and working sessions that align stakeholders around priorities, tradeoffs and actions.

Manage scope, timelines, resources and delivery quality across assigned work.

Identify opportunities to improve data quality, analytical processes, technology enablement and model delivery practices.

Represent Nationwide in governance forums and with auditors, regulators, vendors or industry groups, as appropriate.

Talent and Team Leadership

Coach and develop analytical talent through technical guidance, peer review, training, career development and feedback.

Lead the day-to-day people management of direct reports, including hiring, performance management, talent planning, resource alignment and career development.

Perform other responsibilities as assigned.

Required Qualifications

Education and Experience

Typically, seven or more years of experience in actuarial, statistical, predictive modeling, risk analytics, pricing analytics or a related quantitative discipline.

Experience leading complex projects, setting analytical direction and delivering results across business functions.

Graduate or PhD degree in actuarial science, statistics, mathematics, data science, economics, finance, engineering or a related quantitative field; graduate study preferred.

Technical Expertise

Experience developing, validating, implementing or monitoring complex models used to support business decisions.

Strong understanding of statistical inference, predictive modeling, model diagnostics, data quality, assumptions and model limitations.

Working knowledge of commercial property and casualty insurance; General Liability pricing, underwriting or portfolio experience strongly preferred.

Proficiency in Python and GitHub-based version control, along with experience using cloud-based analytics, model development, or deployment platforms such as Databricks, SageMaker, or comparable tools.

Demonstrated experience taking a model from development through production deployment, testing, documentation, monitoring, and post-deployment validation.

Leadership and Professional Effectiveness

Sound judgment in ambiguous business situations, with the ability to develop practical, well-supported recommendations.

Ability to communicate sophisticated technical concepts in clear business language and influence technical and non-technical partners.

Demonstrated commitment to Nationwide Values and Guiding Behaviors.

Preferred Qualifications

Insurance and Actuarial Depth

Associate or Fellow of the Casualty Actuarial Society, or meaningful progress toward an actuarial designation.

Experience with commercial insurance pricing, loss-cost analysis, frequency and severity modeling, segmentation, indication analysis, rate implementation or portfolio monitoring.

Advanced Modeling and Governance

Experience applying machine learning, generalized linear models, credibility methods, stochastic techniques or other advanced quantitative methods to insurance problems.

Experience with model governance, peer review, independent validation, regulatory support or audit response.

Business Impact and People Leadership

Experience translating model output into underwriting actions, pricing recommendations and measurable business outcomes.

Experience directly managing and developing actuaries, data scientists, analytic scientists or pricing professionals.

Leadership Profile

The successful candidate will be a technically credible, business-oriented leader who:

Brings curiosity, rigor and sound judgment to complex pricing and risk questions.

Connects analytical work to underwriting decisions, customer outcomes, profitability and enterprise strategy.

Creates clarity when objectives, data or stakeholder perspectives are competing or incomplete.

Raises the quality of analytical work through thoughtful challenge, peer review and disciplined documentation.

Develops people while maintaining high standards for accountability, collaboration and delivery.

Builds durable partnerships and communicates with confidence at all levels of the organization.

Job Conditions

This role can be staffed fully remote.

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Job Description Summary

Do you have the desire to play a critical role in driving data-based business outcomes? At Nationwide, our Analytic Scientists are responsible for modeling complex problems, discovering insights and identifying business opportunities using scientific research methods, statistics, machine learning, and data visualization techniques. They participate in all phases of the analytic lifecycle, from research design, data collection and data pro