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 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 platforms (e.g., Statsig, Optimizely, in-house)
Strong understanding of data architecture (batch + real-time)
Preferred Qualifications
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
Leadership Traits
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
Annual Salary
$153,750.00 - $256,250.00The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.
The GEICO Pledge:
Great Company: Protecting customers through life’s twists and turns with innovation and integrity.
Great Careers: Personalized development programs, mentorship, and certification assistance.
Great Culture: Inclusive and collaborative culture rooted in shared success.
Great Rewards: Competitive pay, benefits, and flexibility to support your well-being and future.
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.
Skills Required
- 10+ years of Product Management experience, including platform or data products
- 5+ years leading teams of Senior Product Managers or Product Managers
- Deep experience with Customer Data Platforms
- Experience with identity resolution and user stitching
- Experience with event tracking and tagging systems
- Experience with experimentation platforms such as Statsig, Optimizely, or in-house platforms
- Strong understanding of batch and real-time data architecture
- Experience building CDPs or data platforms in-house at scale
- Familiarity with Snowflake, Segment, mParticle, and Statsig
- Experience in regulated industries such as insurance, fintech, or healthcare
- Strong understanding of privacy frameworks including GDPR and CCPA
- Exposure to AI/ML-driven personalization and decisioning systems
GEICO Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about GEICO and has not been reviewed or approved by GEICO.
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Healthcare Strength — Healthcare coverage is described as comprehensive, spanning medical, prescription, behavioral health, dental (including orthodontia), and vision options with multiple plan types. Wellness resources, HSAs/FSAs, and related programs add breadth to the core health offering.
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Retirement Support — Retirement support includes a 401(k) with an employer match, and the match level is still characterized as good even after adjustments. Access to a credit union and financial education tools further strengthens the overall retirement/financial support picture.
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Flexible Benefits — Work-life programs provide flexibility through hybrid scheduling and limited remote-work options, alongside a broad menu of ancillary benefits such as commuter pre-tax programs, employee discounts, and charitable gift matching. Education support via tuition assistance and scholarships adds additional optionality for different needs.
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