Senior Manager, Decision Science

About Travelers

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.

Annual base salary range: $ – $. Additional performance‑based cash incentive awards may apply.

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. Manager, Decision Science, 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 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, including Product, Sales, Marketing, Operations, Human Resources, among others.

• Utilize a deep understanding of the business to procure data for current and future analysis or prototypes for new data assets, while following coding best practices.
• Seek opportunities to provide stronger data quality and recommend improvements.
• Determine and use appropriate techniques that may include complex diagnostic analysis, active monitoring and/or multivariate methods to answer business questions, test hypotheses, or assess impacts and results.
• Explore and propose new data and analytic tools, techniques and industry best practices, including evaluating where AI‑assisted workflows improve speed and quality without sacrificing analytical rigor.
• Apply appropriate visualization (charts, graphs, maps, etc.) to analytic insights so that they may be delivered to various audiences.
• Interpret and communicate findings to key stakeholders.
• Recommend optimal business action based on balancing business constraints and analytical findings.
• Leverage existing organizational partnerships across lines and functional teams to influence analytic outcomes and inform strategic decisions.
• Be a mentor or resource for less experienced analytic talent, onboard new employees and interns, and provide support for recruiting and talent assessment efforts.
• Perform other duties as assigned.

• Bachelor’s Degree in a STEM‑related field, or a Business School Master’s Degree with a concentration in a technical or analytical field.
• Five years of related data and analytic experience.
• 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 select the appropriate methodology.
• Experience working on large‑scale multidimensional data using advanced knowledge of open‑source, cloud‑enabled analytical programming languages.
• Ability to foresee challenges and proactively identify ways to create more efficient processes for the business.
• Experience leading and managing complex projects.
• Excellent communication skills, with the ability to interact and translate analyses and methodology at various levels of the organization.
• Proactive in building and owning professional business relationships across the data and analytics community within the Enterprise.

• Bachelor’s degree or four years of experience in data, analytics, engineering, science, technical analytical fields, or relevant experience.

• Health Insurance coverage for employees and eligible family members—including spouses, domestic partners, and children—from the first day of employment.
• Ret…