Director, Decision Science - CX Interaction 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, Data Science

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

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 Director of Decision Science, Interaction analytics, you will lead the use of advanced analytics and statistical principals to design and transform world-class customer experiences. You will combine data expertise, statistical principles, business understanding, relationship building, and communication skills that will help to advance analytical maturity and business outcomes. By combining deep technical expertise with strong business orientation, you will help quantify insights, identify opportunities, and influence enterprise-wide strategies that improve the journeys and interactions of our customers, employees, and business partners.

This role is accountable for delivering actionable insights through explanatory modeling and analytics, surfacing the “why” behind business trends, and translating findings into measurable outcomes and recommendations. You will design and influence experiential metrics, evaluate outcomes, and recommend optimizations to drive business value and optimized experiences. In doing so, you will partner with leaders across the enterprise to inform CX priorities, consult on business strategies, and ensure alignment with enterprise goals.

What Will You Do?

• Leverage creative problem solving and deep technical and business knowledge to answer complex questions from business partners and package in a way to be used across senior leaders.
• Lead and execute on complex CX-focused analyses to quantify insights, design experiential metrics, and identify opportunities for journey and interaction optimization.
• Synthesize findings across multiple analyses and communicate insights using data visualization, storytelling, and business translation tailored to senior leaders.
• Direct 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.
• 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.
• 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.
• 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 judgeme