Director, Decision Science Corporate & People 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.

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

$139,400.00 - $230,000.00

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At Travelers, our vision is to advance our ability to fuel analytic-driven business decisions by accelerating cross-enterprise collaboration and capabilities. As a Director, 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.

In this position, you own problems end to end. From understanding the business need, to sourcing the data, to building the model, to putting a tool in someone's hands that changes how they make decisions. We work alongside excellent embedded data engineers — not across a ticket queue — and we deliver.

What Will You Do?

• Explore and implement new data and analytic tools, techniques and industry best practices to apply to business problems.
• Interpret and synthesize findings across multiple analyses and influence optimal business action based on balancing business constraints and analytical findings.
• Build organizational partnerships across lines and functional teams to define and inform key strategic decisions.
• Ensure sound data strategy, quality, and coding best practices and bring recommendations and suggestions for improvements to supporting areas.

What Will Our Ideal Candidate Have?

• You've built production systems, not just notebooks.

• You're comfortable with ambiguity — half the job is figuring out the right question.

• You can talk to a C-suite exec and a data engineer in the same day.

• You'd rather build the thing than manage the people building the thing

• Bachelor’s Degree in a STEM related field, or a Business School Master’s Degree with a concentration in a technical or analytical field.

• Seven 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 decide the appropriate methodology for the purpose.

• Experience working on large-scale multidimensional data using advanced knowledge of open-source cloud-enabled analytical programming languages.

• Experience leading and managing complex projects.

• Ability to think strategically and use judgement to resolve issues as they arise.

• Excellent communication skills with the ability to interact, tailor, and translate analyses and methodology and influence at senior levels of the organization.

• Proactively build and own professional business relationships across the Enterprise.

What is a Must Have?

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