Analytics Product Engineer, Data Products

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

$109,300.00 - $180,200.00

Target Openings

1

What Is the Opportunity?

Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise. As an Analytics Product Engineer on the Data Products team, you will play a key role in growing and transforming our analytics data landscape. You will combine hands-on engineering with Product Owner accountability - designing and building transformation pipelines and data models while managing a delivery backlog, defining requirements with business stakeholders, and providing sign-off on solutions. In addition to your strong analytical and engineering skills, you will bring domain knowledge and the ability to translate business needs into reliable, well-governed data products. You will leverage modern data engineering tools and emerging GenAI capabilities to capture, transform, and serve data that supports business intelligence and analytics across the organization.

What Will You Do?

Product Ownership & Strategy

• Define and prioritize the product backlog and roadmap for our Analytics Data Products, focusing on both expanding data product capabilities and continuously improving transformation pipelines and data models
• Act as the voice of business stakeholders and analytics consumers, ensuring their needs drive product evolution
• Measure delivery outcomes against business priorities and adjust the roadmap based on real results and shifting stakeholder needs
• Make critical trade-off decisions in collaboration with leadership to maximize value delivery
• Provide sign-off on engineering deliverables and maintain accountability for what gets built and whether it solves the problem

Solution Development & Data Modeling

• Design and build data models and define architecture that is scalable, performant, and aligned to business consumption patterns, leveraging generative AI techniques
• Leverage a keen understanding of the data to uncover gaps, quality issues, and opportunities to enhance transformation pipelines and data product capabilities
• Partner with IT, Data Platform, and business stakeholder groups to develop and validate solutions that meet real-world business needs
• Make informed decisions on data design patterns to optimize for reliability and performance
• Build proof-of-concepts and prototypes for new data product capabilities before broader implementation, de-risking delivery and demonstrating feasibility

Engineering & Automation

• Build and operationalize data transformation pipelines and analytical solutions using modern platform services, data engineering tools, and emerging GenAI capabilities
• Develop automation for repetitive data processes to improve reliability and reduce manual intervention
• Perform substantive pull request reviews, evaluating business logic correctness, potential bugs, performance implications, and adherence to team standards
• Implement comprehensive testing, data quality checks, business logic validation, reconciliation, and integration tests to ensure high-confidence data products
• Partner with IT and engineering teams to deploy, monitor, and operationalize solutions

Upstream & Downstream Requirements

• Gather and synthesize requirements from data providers and analytics consumers, translating business needs into clear technical specifications
• Document data lineage, upstream/downstream dependencies, and define acceptance criteria for deliverables
• Identify data gaps and quality issues, and validate solutions with stakeholders before and after delivery
• Scope work and communicate delivery timelines and risks proactiv