Manager, Business Insights Delivery (Generative BI, Agentic AI)

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

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

$104,000.00 - $171,700.00

Target Openings

1

What Is the Opportunity?

At Travelers, we're focused on expanding the application of data and analytics beyond managing risk, helping businesses increase their productivity and efficiency and enabling great experiences for our customers and agents. The Business Insights Delivery team aims to enable the business by building solutions that turn data in to insights with well-designed data assets and effective, compelling dashboards and visualizations.

As the Manager, Business Insights Delivery, you will develop, deliver, evolve, and maintain data from various sources. You will influence and recommend insights delivery strategies to management.

What Will You Do?

• Integrating LLMs via APIs and developing AI-enabled solutions using Python.
• Building and deploying AI agents, including tool use and multi-step workflows.
• Connecting LLMs to enterprise data sources and systems (e.g., MCP, RAG patterns).
• Provide data analysis, programming, and coding support for multiple complex components of insights delivery.
• Contribute significantly to data wrangling, user experience and interface design, semantic layer and material view design and builds, and asset lifecycle management across a range of capabilities including reporting, guided analytics, self-service, embedded, augmented, and data as a service across a range of multiple technologies and coding languages.
• Organize and present solution design options, which may include recommending patterns to leadership based on assessment of business requirements.
• Understand the business problem, context, and audience to inform execution of the work.
• Lead root cause analysis of production incidents and provide recommended patterns to avoid future incidents.
• Assess data sources and technologies available to address business problems.
• Provide mentorship and guidance to insight developers on how to efficiently deliver solutions that adhere to development standards and guidelines.
• Understand current delivery portfolio and how it addresses business problems.
• Align solution design to enterprise data management, security, and governance controls.
• Coach and aid in the skill development of team members.
• Perform other duties as assigned.

What Will Our Ideal Candidate Have?

• Hands-on experience integrating LLMs via APIs and developing AI-enabled solutions using Python.
• Experience building and deploying AI agents, including tool use and multi-step workflows.
• Familiarity connecting LLMs to enterprise data sources and systems (e.g., MCP, RAG patterns).
• Working knowledge of vector databases and techniques to ground AI responses in enterprise data.
• Strong front-end engineering skills using modern frameworks (React, TypeScript, Next.js).
• Experience building conversational and analytical user interfaces, including chat-based experiences.
• Ability to develop interactive data visualizations and embed analytics into applications.
• Experience delivering production-ready, performant, and reusable UI components.
• Strong communication skills with the ability to consult on projects and present information effectively.
• Business acumen with the ability to think strategically and use judgement to resolve issues as they arise.
• Strong data acumen with the ability to analyze, cleanse, and organize data of significant complexity.
• Experience with Information Design techniques and Tools such as: Cloud, SQL, NoSQL, Python, CI/CD, Data Visualization, Business Intelligence Platforms (Qlik, MSTR, Tableau), and/or Web Development (HTML, JavaScript, Analytic Libraries), ESRI.

What is a Must Have?