Principal Product Manager, Experimentation & Digital Analytics

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