Director of Product Management, Customer Data and Signals Platform

GEICO•Palo Alto, CA

6d•Hybrid

About The Position

GEICO is seeking a Director of Product, Customer Data & Signals to lead the strategy, development, and adoption of their Customer Data Platform (CDP), tagging infrastructure, identity resolution, and AI data services. This role is crucial for building the data foundation that powers every customer interaction, from acquisition to service, enabling intelligent, AI-driven decisioning across the enterprise. The Director will collaborate 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. The position offers a hybrid work model with a strong preference for Palo Alto, CA, but also open to Seattle (WA), Bethesda (DMV), and Dallas (TX).

Requirements

10+ years in Product Management, including platform/data products.
5+ years leading teams (Sr. PMs / PMs).
Deep experience with Customer Data Platforms (CDPs).
Deep experience with Identity resolution / user stitching.
Deep experience with Event tracking & tagging systems.
Deep experience with Experimentation platforms (e.g., Statsig, Optimizely, in-house).
Strong understanding of data architecture (batch + real-time).
Systems thinker: Sees the full data lifecycle from ingestion → signals → activation.
Builder mindset: Can operate in ambiguous, in-house platform environments.
Operator: Drives execution with rigor and speed.
Influencer: Aligns senior stakeholders across complex orgs.
Customer-obsessed: Anchors all decisions on customer and business impact.

Nice To Haves

Experience building CDP or data platforms in-house at scale.
Familiarity with tools like Snowflake, Segment, mParticle, Statsig.
Experience in regulated industries (insurance, fintech, healthcare).
Strong understanding of privacy frameworks (GDPR, CCPA).
Exposure to AI/ML-driven personalization and decisioning systems.

Responsibilities

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).
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.
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.
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.
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).