Director of Product Management, Customer Data and Signals Platform

GEICO•Bethesda, MD

7d•$153,750 - $256,250•Hybrid

About The Position

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. 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.

Requirements

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 platforms (e.g., Statsig, Optimizely, in-house)
Strong understanding of data architecture (batch + real-time)

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
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

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)