Director of Product Management, Customer Data and Signals Platform
GEICOAbout the role
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.
Own and scale GEICO’s Customer Data & Signals platform—unlocking unified identity, preferences, real-time data, and agentic data capabilities to power personalization, marketing, pricing, and customer experience across all channels and functions at GEICO.
Hybrid Locations: Strong preference for Palo Alto (CA); other locations - Seattle (WA), Bethesda (DMV) and Dallas (TX).
Role Overview
We are looking for a Director of Product, Customer Data & Signals to lead the strategy, development, and adoption of our Customer Data Platform (CDP), tagging infrastructure, identity resolution, and AI data services.
This leader will build the data foundation that powers every customer interaction—from acquisition and onboarding to retention and service—enabling intelligent, AI-driven decisioning across the enterprise.
You will partner closely with Engineering, AI, Data Science, Marketing, Analytics, and Customer Experience teams to transform fragmented data into real-time, actionable signals that drive measurable business outcomes.
What You’ll Own
1. Customer Data Platform (CDP)
Define and execute the vision for a real-time, enterprise-grade CDP
Build unified customer profiles across anonymous, known, and offline users
Enable 360° identity resolution across web, app, call center, and partner channels
Drive activation into downstream systems (MAP, paid media, personalization engines)
2. Identity Resolution & Data Foundation
Establish persistent identity graph from first visit through lifecycle
Solve for anonymous → known user stitching
Define standards for data modeling, schema, and governance
Ensure high-quality, privacy-compliant, and scalable data pipelines
3. Tagging & Event Instrumentation
Own enterprise tagging strategy and governance
Build scalable event tracking framework across all digital properties
Ensure clean, consistent, and reusable signals for analytics and ML
Drive adoption of modern server-side tagging and data coll
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