Principal Product Manager

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. 

Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose. 

When you join our company, we want you to feel valued, supported and proud to work here. That’s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.

GEICO Product, Sales is seeking a Principal Product Manager - Data to join us on a transformational journey to leverage data as a strategic asset—driving customer-centric innovation, operational excellence, and measurable business outcomes. We’re seeking a dynamic leader to elevate our data products, platforms, and analytics capabilities to the next level to drive a transformative initiative focused on improving data reliability, accessibility, and AI readiness across the organization. This role will be pivotal in capturing requirements, validating data streams, establishing robust governance, and ensuring the ongoing health of the data infrastructure to enable self-service, automation, and personalization. 

As the Principal Product Manager – Data, you will own the vision, strategy, roadmap and execution for high-impact data products and platforms that empower business partners, analysts, engineers and customers. You will work at the intersection of business, data science/engineering, and technology to deliver scalable, actionable data solutions that enable insights, decision-making, personalization, risk management, and growth. 

This position is a hybrid role 2-3 days per week in the office.

Hybrid locations include: Palo Alto, CA, and Chevy Chase, MD

Key Responsibilities 

• Requirements Gathering: Lead a comprehensive effort to collect and document requirements from business, product, engineering, and cross-functional partners. 

• Build and Define Data Infrastructure Requirements: Develop, document, and implement requirements to ensure the health, scalability, and reliability of the sales organization’s data infrastructure. Proactively monitor and address infrastructure issues to maintain optimal performance and data integrity. 

• Data Validation & Remediation: Analyze current data streams, identify gaps, and execute remediation plans—starting with core workstreams in the GEICO Insurance Agency as a model for broader adoption. 

• Governance & Quality: Establish and maintain strong data governance practices, including monitoring data thresholds, accuracy, and lineage. Ensure all changes are properly reviewed and approved. 

• Self-Service Enablement: Organize and label data using a dictionary-driven approach to support scripting, reuse, and accessibility for all teams. 

• Training & Empowerment: Design and deliver a basic scripting bootcamp to empower business users, adjusters, and leaders to independently pull insights, test hypotheses, and interact with AI agents. 

• AI Integration: Collaborate on the development and deployment of an AI use case.  

• Stakeholder Alignment: Ensure alignment and coverage across all sales departments and cross-functional teams.  

• Evangelize data product capabilities across the organization, enable business users to self-serve insights, build data literacy, and scale adoption 

• Influence senior leadership and engage stakeholders at all levels to build alignment, secure resources, and remove