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Principal Product Manager, Experimentation & Digital Analytics

GEICO Bethesda, MD

Bethesda, MD

Today

$147k - $230k/yr Full time Data Analytics Digital Analytics Experimentation

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Job Description

Lead GEICO’s experimentation and digital analytics platforms, scaling self-service rigor and data-driven decisions across teams.

Responsibilities

Own product vision, strategy, and roadmap for GEICO experimentation and digital analytics platforms, aligned to growth, retention, and digital transformation goals
Drive adoption of experimentation and digital analytics tools across product, design, engineering, marketing, and analytics teams; reduce friction and strengthen trust in platform outputs
Enable teams to self-service and automate experiment design, instrumentation, execution, analysis, and reporting to replace manual or ad hoc workflows
Define and evolve experimentation standards and governance including statistical methodology, sample size and power, metric definitions, guardrail metrics, and peer review to support causally sound decisions
Partner with data science, engineering, and analytics leaders to design architecture, instrumentation strategy, and measurement pipelines for scaled experimentation and analytics
Lead cross-functional delivery across the product lifecycle for platform capabilities, from concept through launch and iteration
Conduct user research with platform users (product managers, analysts, data scientists, engineers) to surface friction points and unmet needs and identify high-leverage improvements
Prioritize initiatives using user feedback, business impact, and technical feasibility, including making trade-off decisions
Own product development execution: define requirements, manage backlog, and support timely, high-quality releases
Set north-star metrics and KPI trees for platform health and impact (experiment velocity, coverage, time-to-insight, adoption, decision quality) and continuously monitor and iterate
Build a company-wide culture of experimentation and data-driven decision making via enablement, training, evangelism, and demonstrated business outcomes
Collaborate with stakeholders to align on platform strategy, prioritization, and investment
Identify options and recommendations, working through trade-offs to remove impediments
Oversee rollout planning and segmentation of user needs across teams to promote adoption and best practices
Partner with Data & Technology to influence end-state architecture and deliver secure, resilient, performant, scalable platform solutions that address material customer and business problems

Requirements

Bachelor’s degree in a quantitative field (Statistics, Mathematics, Economics, Computer Science, Engineering) strongly preferred
10+ years of product management experience with significant ownership of platform, tools, or data/analytics products used broadly across an organization
Experience building, scaling, or leading an experimentation program or platform (for example: A/B testing infrastructure, feature flagging, causal measurement) at meaningful scale
Strong analytical and statistical foundation with hands-on experimental design and statistical inference (hypothesis testing, statistical power, confidence intervals, false discovery/positive control, variance reduction)
Demonstrated ability to drive adoption of self-service tools and measurably increase velocity and decision quality across teams
Strong quantitative background with hands-on analysis of large datasets and causally grounded decisions
Leadership strengths to influence stakeholders and inspire cross-functional teams without direct authority
Excellent communication and presentation skills, able to explain complex statistical and technical concepts to technical and non-technical audiences
Experience with Agile and tools such as JIRA or Azure DevOps
Passion for innovation, continuous learning, and driving positive change

Technologies

JIRA
Azure DevOps
SQL
Python
R

Benefits

Competitive pay, benefits, and flexibility to support your well-being and future
Personalized development programs, mentorship, and certification assistance

Preferred Qualifications

Advanced degree (MS or PhD) in Statistics, Economics, Data Science, Computer Science, or a related quantitative field
Direct experience owning or building an experimentation or digital analytics platform (feature flagging and rollout systems, A/B testing platforms, session replay/behavioral analytics tools, or internal frameworks; commercial or homegrown)
Deep expertise in causal inference and applied statistics (power analysis, sequential testing, variance reduction such as CUPED, heterogeneous treatment effects, quasi-experimental methods such as difference-in-differences or synthetic controls)
Experience defining and evolving experimentation governance (metric standards, guardrails, peer review processes, and centers of excellence)
Hands-on fluency in SQL, Python, and/or R, plus experience defining instrumentation and event schemas for digital analytics
Experience with digital behavioral analytics tools (clickstream, session replay, funnel and journey analysis) and connecting quantitative insight to qualitative customer understanding
Experience building enablement programs, training curricula, or centers of excellence to scale a data-driven or experimentation culture across a large organization
Experience in insurance, financial services, or another highly regulated industry
Familiarity with model evaluation, monitoring, and experimentation practices for ML-driven or personalization systems
MBA, MS, or technical degree a plus

Hybrid Position Requirements

Hybrid role requiring on-site presence 2-3 days per week at one of the following locations: Palo Alto, CA; Seattle, WA; Bethesda, MD

Additional Details

GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers
At this time, GEICO will not sponsor a new applicant for employment authorization for this position
Annual salary: USD 146,575 - 229,600

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