Director of Product Management, Customer Data and Signals Platform

. Own and scale GEICO’s Customer Data & Signals platform .

Posted 9/25/2026full-timeUnited StatesLead💰 $153,750 - $256,250 per yearWebsite

Key responsibilities & impact

Own and scale GEICO’s Customer Data & Signals platform
Define and execute the vision for a real-time, enterprise-grade Customer Data Platform
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 including MAP, paid media, and personalization engines
Establish a persistent identity graph from first visit through lifecycle
Define standards for data modeling, schema, and governance
Ensure high-quality, privacy-compliant, and scalable data pipelines
Own enterprise tagging strategy and governance
Build scalable event tracking frameworks across all digital properties
Drive adoption of modern server-side tagging and data collection frameworks
Transform raw data into real-time signals and features
Partner with Data Science to enable AI/ML models such as churn, propensity, and LTV
Enable downstream systems to consume decision-ready signals
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 success metrics tied to conversion, retention, and LTV
Build and mentor a high-performing team of Product Managers
Lead vendor-versus-build decisions
Ensure privacy, compliance, and governance, including PII handling and consent frameworks

What you’ll need

10+ years in Product Management, including platform/data products
5+ years leading teams (Sr. PMs / PMs)
Deep experience with Customer Data Platforms (CDPs)
Experience with identity resolution / user stitching
Experience with event tracking and tagging systems
Experience with experimentation platforms (e.g., Statsig, Optimizely, in-house)
Strong understanding of data architecture (batch + real-time)
Preferred: Experience building CDP or data platforms in-house at scale
Preferred: Familiarity with Snowflake, Segment, mParticle, and Statsig
Preferred: Experience in regulated industries (insurance, fintech, healthcare)
Preferred: Strong understanding of privacy frameworks (GDPR, CCPA)
Preferred: Exposure to AI/ML-driven personalization and decisioning systems
At this time, GEICO will not sponsor a new applicant for employment authorization for this position.

Comp & perks