Senior Director, Decision Science BI Product Portfolio Analytics

Who Are We?

Taking care of our customers, our communities and each other. That’s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it.

Job Category

Data Analytics

Compensation Overview

The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards.

Salary Range

$146,400.00 - $241,600.00

Target Openings

1

What Is the Opportunity?

At Travelers, our vision is to advance our ability to fuel analytic-driven business decisions by accelerating cross-enterprise collaboration and capabilities. As a Sr. Director, Decision Science, BI Product you will combine data expertise, statistical principles, business understanding, relationship building, and communication skills that will help to advance analytical maturity and business outcomes. Through explanatory modeling and analytics as well as experimental design and related inferential techniques, you will surface actionable insights that influence business decisions and strategies. Simply put, you are helping the business understand 'the why' underneath business trends and data — and you do it with the speed and rigor that comes from deep technical fluency in analytics and a willingness to adopt emerging AI tools where they add value. This discipline focuses on supporting business areas and activities beyond pricing and reserving, with a specific focus on Portfolio Analytics for Business Insurance Product organization. This position manages a team.

What Will You Do?

• Direct and coach the team in determining and using appropriate techniques that may include diagnostic analysis, active monitoring and/or multivariate modeling methods that can be used to influence strategic business decisions by balancing constraints and opportunities.
• Be a mentor or resource for less experienced analytic talent, onboard new employees and interns, and provide support for recruiting and talent assessment efforts.
• Promote exploration and implementation of new data and analytic tools, techniques and industry best practices to apply to business problems – including evaluating where AI-assisted workflows improve speed and quality without sacrificing analytical rigor.
• Interpret and synthesize findings across multiple analyses and influence optimal business action by balancing business constraints, analytical findings, and business impact.
• Build organizational partnerships across lines and functional teams to define and inform key strategic decisions.
• Ensure sound data strategy, quality, and coding best practices across Python, R, and SQL workflows. Leverage Claude Code for peer-quality code review, refactoring recommendations, and automated documentation generation. Bring recommendations and suggestions for improvements to supporting areas.
• Perform other duties as assigned.

What Will Our Ideal Candidate Have?

• Bachelor’s Degree in a STEM related field, or a Business School Master’s Degree with a concentration in a technical or analytical field.
• Eight years of related data and analytic experience including team leadership.
• Demonstrated ability to build and maintain production-quality analytics codebases — beyond notebooks and ad hoc scripts, but structured, version-controlled, well-documented Python applications that serve ongoing business needs.
• Experience working on large-scale multidimensional data in cloud-enabled environments, with working knowledge of version control (Git), Business Intelligence solutions, and data governance practices such as Unity Catalog or equivalent.
• Comfort adopting GenAI tools (e.g., Claude.ai, Claude Code, or similar) to accelerate analytics workflows — with the analytics and engineering judgment to validate AI-generated outputs and know when to override them.
• Experience using explanatory, diagnostic, and inferential techniques such as experimental design, hypothesis testing, clustering analysis, time series and other statistical modeling algorithms with the ability to decide the appropriate methodology for the purpose.
• Experience working on large-scale mul