below marketmost similar roles pay hereabove market
This role pays less than
68%
of similar roles. Most pay
$195,000–$278,212
— the blue band above.
At the midpoint, this role pays about
$206k
versus about
$237k
for comparable roles.
Based on 240 similar postings.
Employer
About Nationwide
Nationwide is a Fortune 100 insurance and financial services company offering auto, home, life, and commercial insurance along with retirement savings, asset management, and banking products. Industry: Insurance & Financial Services
Nationwide currently has
45 open roles
on FindRole.
Listed pay typically runs
$118,000–$222,000
across 7 roles with salary data.
The Director, General Liability Pricing Analytics serves as a senior technical leader within the Finance team, overseeing a group of analytical professionals. This role involves leading the development, implementation, and monitoring of advanced statistical, actuarial, and predictive models to support profitable growth and sound underwriting decisions for general liability insurance. You will build and refine models, explore emerging AI tools, and translate complex findings into clear recommendations for stakeholders like Actuaries and Underwriting. Key technical requirements include proficiency in Python, GitHub-based version control, and cloud-based platforms such as Databricks or SageMaker. Candidates must possess deep expertise in statistical inference, risk analytics, and commercial property and casualty insurance. You will manage the full model lifecycle, ensuring rigorous standards for governance, documentation, validation, and production readiness.
Lead the development, enhancement, and implementation of pricing models and data science solutions for general liability insurance.
Set the technical direction for pricing strategy, segmentation, rating analysis, and portfolio insights.
Research and pilot emerging AI tools and advanced statistical methods to improve analytical workflows and model performance.
Translate complex analytical findings into clear recommendations for technical and non-technical senior leadership.
Manage the day-to-day people leadership of direct reports, including hiring, performance management, and career development.
Own model governance standards covering validation, documentation, reproducibility, and production readiness.
Partner with cross-functional teams to ensure analytical solutions are effectively applied to business goals.
Manage project scopes, timelines, and resource requirements for complex, large-scale analytic engagements.
What we're looking for
Typically, seven or more years of experience in actuarial, statistical, predictive modeling, risk analytics, pricing analytics, or a related quantitative discipline.
Typically, 10 or more years of related work experience in a relevant field.
Graduate or PhD degree in actuarial science, statistics, mathematics, data science, economics, finance, engineering, or a related quantitative field (graduate study preferred).
Experience leading complex projects, setting analytical direction, and delivering results across business functions.
Experience developing, validating, implementing, or monitoring complex models used to support business decisions.
Proficiency in Python and GitHub-based version control, along with experience using cloud-based analytics, model development, or deployment platforms such as Databricks or SageMaker.
Working knowledge of commercial property and casualty insurance; General Liability pricing, underwriting, or portfolio experience strongly preferred.
Associate or Fellow of the Casualty Actuarial Society, or meaningful progress toward an actuarial designation (preferred).
Data Science
Data Engineering
Data Architecture
Business Intelligence
Machine Learning
Artificial Intelligence
Cloud Architecture
Semantic Modeling
Data Quality
Statistical Methods
Data Products
Reporting & Insights
Automation
Data Strategy
SQL
Python
Streamlit
Tableau
Business Intelligence
AI/ML
Process Mining
Journey Analytics
Agile
Data Analytics
Information Governance
Statistics
Operations Research