Senior Product Manager, Data Compass & AI
Listed on 2026-07-24
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IT/Tech
Data Analyst, AI Business & Operations, Business Systems & Technology Analysis, AI Engineer (Applied/Software)
Why Join GEICO? 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 on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide. Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States.
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.
Data Compass is GEICO’s unified platform for discovering, understanding, governing, and safely using enterprise data. It serves as the front door to trusted data experiences across the organization, helping associates find reliable data, understand quality and lineage, and gain insights faster. Data Compass is evolving into an AI-powered self-service platform that brings together data discovery, analytics, governance, and intelligent assistance into a single experience.
We are seeking a highly strategic and customer-obsessed Senior Product Manager – Data Compass Experience & AI to lead the vision, roadmap, and execution of Data Compass’s user experience and AI-powered capabilities. This leader will shape how associates discover trusted data, interact with AI assistants, navigate analytics experiences, and efficiently complete data-related tasks across the enterprise.
The Senior Product Manager will own the end-to-end experience strategy across Data Compass, including Compass AI, conversational experiences, search and discovery, personalization, self-service analytics journeys, and cross-platform navigation patterns. This role sits at the intersection of product management, user experience, artificial intelligence, analytics, data governance, and platform engineering. The successful candidate will work closely with engineering, design, data governance, analytics, and enterprise stakeholders to deliver intuitive and trustworthy experiences that reduce friction and accelerate decision-making.
This position is hybrid requiring 2-3 days in office per week in either Palo Alto, CA;
Bethesda, MD;
Seattle, WA.
Product Strategy & Vision
Define and drive the multi-year product vision for Data Compass Experience and AI. Create and maintain a roadmap aligned to Data Compass strategic priorities, including AI-powered data discovery, self-service analytics, unified data experiences, personalized user experiences, and intelligent recommendations. Balance user needs, business objectives, governance requirements, and technical constraints. Establish success metrics and outcome-based product goals.
Compass AI Product Leadership
Own the product strategy and roadmap for Compass AI. Define conversational experiences that help users discover, understand, and use trusted enterprise data. Lead initiatives including intent-based discovery, multi-agent experiences, chat with metrics, personalized recommendations, ambient AI experiences, agentic workflows and actions. Ensure AI experiences provide trustworthy, explainable, and actionable outcomes for users.
User Experience & Platform Experience
Drive a unified Data Compass experience across catalog, quality, lineage, classification, analytics, and future platform capabilities. Partner with UX designers to create intuitive workflows and design standards. Define information architecture, navigation patterns, search experiences, and user journeys. Improve discoverability of trusted data assets and analytics resources. Lead personalization and permission-aware user experiences.
Self‑Service Analytics Experience
Drive the product vision for business-friendly self-service analytics experiences. Enable associates to move seamlessly from question to discovery, trust validation, insight, and action. Partner with analytics, reporting, and engineering teams to create intuitive analytics discovery and consumption experiences. Define experiences that…
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