Director of Product Management, Customer Data and Signals Platform

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 rid 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 collection frameworks
4. Signals & Intelligence Layer
* Transform raw data into real-time signals and features
* Partner with Data Science to enable AI/ML models (e.g., churn, propensity, LTV)
* Enable downstream systems (MAP, pricing, CX) to consume decision-ready signals

Key Responsibilities
* Define multi-year strategy and roadmap for Customer Data & Signals
* Deliver platforms that scale to millions of users and billions of events
* Drive cross-functional alignment across Marketing, Product, Data, and Engineering
* Establish clear success metrics tied to business impact (conversion, retention, LTV)
* Build and mentor a high-performing team of Product Managers
* Lead vendor vs. build decisions (e.g., CDP, tagging, experimentation tools)
* Ensure privacy, compliance, and governance (PII handling, consent frameworks) What Success Looks Like
* Unified customer identity across >90% of traffic
* Near real-time data availability (< minutes latency)
* 100% coverage of high-quality, standardized event tracking
* Organization-wide adoption of experimentation as a core decision framework
* Measurable lift in:
* Conversion (Quote Start → Bind)
* Retention & LTV
* Marketing efficiency (CAC, targeting precision) Basic Qualifications
* 10+ years in Product Management, including platform/data products
* 5+ years leading teams (Sr. PMs / PMs)
* Deep experience with:
* Customer Data Platforms (CDPs)
* Identity resolution / user stitching
* Event tracking & tagging systems
* Experimentation…