Director, Data Engineering - Auto Model Support Team Lead

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

Technology

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?

As a Data Engineering Director at Travelers, you’ll lead Business Insurance model implementation initiatives by bridging deep technical expertise with strategic vision. You’ll lead and grow a high-performing engineering team while maturing engineering practices that enable and scale our Auto pricing strategies.
Your leadership will drive innovation in how we capture, process, and deliver data and model assets that empower our actuarial and data science partners. Beyond technical oversight, you’ll champion data quality standards, implement MLOps best practices, and cultivate strong cross-functional relationships across the organization.
The ideal candidate combines strong data engineering expertise with the ability to translate complex business requirements into innovative solutions, while actively coaching, developing, and inspiring engineers to grow their skills and impact. Your contributions will strengthen our pricing strategies in a dynamic insurance marketplace.

What Will You Do?

• Partner with Data Science and Actuarial Product teams to understand business requirements and translate them into robust, scalable data solutions supporting model development and Auto pricing strategies, while coaching the team on best practices and design tradeoffs
• Lead the design and implementation of high-quality datasets that power analytical and modeling processes in support of Business Insurance Auto pricing strategies
• Oversee data preparation activities including exploration, cleansing, and transformation. Ensuring high-quality inputs for pricing use cases, with a strong understanding of enterprise architecture, consumption patterns, platforms, and application infrastructure
• Embed data management practices across the team to uphold data quality, governance, and stewardship standards, while mentoring engineers on strong data practices
• Drive adoption of MLOps practices throughout the model development lifecycle, developing team capability in automation, monitoring, and model lifecycle management
• Manage the operationalization and automation of data and model pipelines to ensure solutions are secure, supported, and scalable, while developing engineers’ operational ownership mindset
• Serve as a data engineering leader within the BI analytics community, providing technical guidance, supporting pricing model delivery, and educating partners and users on strategic data sourcing and usage
• Present analysis, architectural options, and recommendations to influence decisions and guide technical direction
• Coach, mentor, and develop team members through regular feedback, career planning, and stretch opportunities, building a strong leadership and talent pipeline
• Establish and evolve team processes, standards, and ways of working that promote quality, velocity, and continuous learning
• Maintain strong relationships with partner teams to ensure needs are met, priorities are aligned, and impacted areas can plan and deliver work effectively
• Perform other duties as assigned

What Will Our Ideal Candidate Have?

• Bachelor’s Degree in STEM related field or equivalent.
• Five or more years of related experience.
• Two or more years of management experience.
• Advanced knowledge of data tools, techniques, and manipulation including cloud platforms, programming languages, and technology platforms.

What is a Must Have?

• Bachelor’s degree in computer science, related STEM field, or its equivalent in education and/or work experience.
• 6 additional years of data engineering experience.

What Is in It for You?

• Health Insurance