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, Product, 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 $109,300.00 - $180,200.00
Target Openings 1
What Is the Opportunity? Travelers' Business Intelligence & Analytics team builds the data products and AI-powered tools that actuaries, underwriters, and decision scientists rely on to price risk and make decisions. As an AI Data Engineer, you will own a portfolio of production analytics tools - including pricing, scenario modeling, experience analysis, and underwriting support platforms - while applying Generative AI and agentic development techniques to modernize how insurance professionals interact with data. You will work with decades-deep, proprietary datasets spanning millions of policies across Management Liability and Surety lines- the kind of rich, structured data that makes AI genuinely transformative. Our team uses Claude Code and agentic AI workflows daily to accelerate development. If you think of AI as your primary engineering teammate rather than an autocomplete tool, you'll thrive here.
What Will You Do? Data Product Ownership & Delivery - Own the end-to-end lifecycle of insurance data products - including pricing tools, scenario modeling, experience analysis, and underwriting support platforms - from requirements gathering through production deployment and ongoing enhancement
- Define and prioritize the product backlog for your portfolio, ensuring stakeholder needs across actuarial, underwriting, and decision science teams drive platform evolution
- Measure product performance through KPIs tied to business outcomes - pricing accuracy, quote velocity, analysis turnaround, underwriting efficiency - and adjust the roadmap based on real results
- Make critical trade-off decisions in collaboration with leadership to maximize value delivery across competing priorities
- Build deep domain expertise in Management Liability insurance workflows, becoming the trusted technical partner for your lines of business
Embedded AI Development & Prototyping - Extend the embedded AI development model to modernize insurance analytics tools using GenAI capabilities - including document intelligence, conversational data exploration, and automated analysis generation
- Prototype and iterate on AI-powered solutions in real-time using Claude Code, agentic workflows, and modern platform services
- Build proof-of-concepts that demonstrate feasibility for new AI capabilities within insurance workflows
- Partner with actuaries, underwriters, and decision scientists to test and validate AI solutions in their actual working environment, ensuring real-world effectiveness before scaling
- Identify opportunities to apply GenAI techniques - RAG, entity extraction, structured output generation - to accelerate insurance analytics processes that currently require manual effort
Automation & Tool Development - Build and operationalize data pipelines that capture, transform, and deliver data to support AI/ML and business intelligence initiatives
- Develop automation for repetitive insurance analytics processes and workflows, directly impacting pricing outcomes, underwriting quality, or operational efficiency
- Create reusable templates, reference implementations, and platform abstractions that accelerate future AI-powered tool deployments across additional lines and use cases
- Leverage Python, SQL, and cloud-native services (Databricks) to build scalable, production-grade solutions
Stakeholder Partnership & Knowledge Transfer - Gather and document requirements from teams across Management Liability, Surety and Claim - actuarial, underwriting, and research & development - translating business needs into clear technical specifications
- Manage IT delivery partnerships and monitor delivery to ensure solutions meet business needs and timelines
- Facilitate knowledge transfer between business teams and engineering, ensuring domain context flows into technical design and technical capabilities flow back into practice
- Share insights, best practices, and reusable patterns across teams to ensure alignment and consistency in analytical approaches
Platform Evolution & Best Practices - Identify patterns across multiple team engagements to inform platform-level abstractions and reusable AI components
- Collaborate with IT and engineering teams to generalize and scale successful prototypes into enterprise platform capabilities
- Establish and evangelize best practices for AI-augmented development, including effective use of Claude Code, prompt engineering, and agentic workflow orchestration
- Create clear documentation on data products, architectural decisions, and development patterns that enable the team to move faster
What Will You Bring? Required - 3+ years of experience in data engineering, analytics engineering, or applied AI/ML development
- Strong proficiency in Python and SQL
- Experience building and deploying data pipelines or analytical applications in cloud environments (Databricks, Azure, or AWS)
- Demonstrated ability to own outcomes end-to-end - from problem identification through production delivery - not just execute assigned tasks
- Experience working directly with business stakeholders to translate needs into technical solutions
- Strong communication skills with the ability to make technical concepts accessible to non-technical partners
Preferred - Domain & Industry - Experience in P&C insurance, reinsurance, or financial services data environments
- Familiarity with insurance analytics workflows: pricing, underwriting, reserving, experience analysis, or scenario modeling
- Understanding of insurance data structures - policy, claim, premium, and loss data
- Experience with insurance or analytics tools (Guidewire)
Preferred - AI & Technical - Hands-on experience with AI coding tools - Claude Code, Cursor, GitHub Copilot - used as a daily development accelerator, not just an autocomplete
- Experience building applications using GenAI techniques: RAG architectures, LLM integration, prompt engineering, structured output generation
- Familiarity with agentic AI frameworks (LangChain, LangGraph, or similar)
- Experience with MLOps practices: model versioning, monitoring, feature stores, CI/CD for ML
- Proficiency with Databricks (Unity Catalog, Delta Lake, medallion architecture)
- Experience with dbt, Apache Airflow, or similar orchestration and transformation tools
What is a Must Have? - Bachelor's degree in computer science, related STEM field, or its equivalent in education and/or work experience.
- 2 additional years of software/data engineering experience.
What Is in It for You? - Health Insurance: Employees and their eligible family members - including spouses, domestic partners, and children - are eligible for coverage from the first day of employment.
- Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers.
- Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays.
- Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs.
- Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice.
Employment Practices Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences.
In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions.
If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you.
Travelers reserves the right to fill this position at a level above or below the level included in this posting.
To learn more about our comprehensive benefit programs please visit
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