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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

GEICO is hiring a Principal Product Manager to own experimentation and digital analytics platforms that support data-driven decision making across the organization. This hybrid role in Bethesda, MD helps scale self-service experimentation and rigorous analysis, so teams can move faster while maintaining statistical integrity. If you enjoy building platforms that strengthen trust in outcomes and enable teams to act on high-quality evidence, this role is built for that.

What you’ll do

Own the product vision, strategy, and roadmap for GEICO’s 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, reducing friction and strengthening confidence in platform outputs.
Enable self-service and automation for experiment design, instrumentation, execution, analysis, and reporting to reduce reliance on manual and ad hoc processes.
Define and evolve standards, guardrails, and governance for experimentation, including statistical methodology, sample size and power, metric definitions, guardrail metrics, and peer review, to ensure decisions are grounded in rigorous, causally sound evidence.
Partner with data science, engineering, and analytics leaders to shape architecture, instrumentation strategy, and measurement pipelines for experimentation and digital analytics at scale.
Lead cross-functional teams across the product lifecycle for platform capabilities, from concept through launch and beyond.
Conduct research with platform users (product managers, analysts, data scientists, engineers) to identify friction points, unmet needs, and high-leverage improvements to experimentation velocity and insight quality.
Prioritize initiatives using user feedback, business impact, and technical feasibility, making trade-off decisions as needed.
Drive delivery by defining requirements, managing backlog, and ensuring 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.
Champion a culture of experimentation through enablement, training, evangelism, and demonstrated business impact.
Collaborate with stakeholders to build alignment on platform strategy, prioritization, and investment.
Identify options and recommendations while working through trade-offs to remove impediments for the team.
Oversee platform rollout plans, segment user needs across teams, and promote adoption and best practices.
Partner with Data & Technology leaders to influence end-state architecture and drive secure, resilient, performant, and scalable platform solutions for material customer and business problems.

Requirements

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

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 (e.g., 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 like difference-in-differences or synthetic controls).
Experience defining and evolving experimentation governance including 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 (e.g., 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 that scaled 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.

Technologies

JIRA
Azure DevOps
SQL
Python
R

Benefits

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

Additional details

Location: Bethesda, MD (hybrid). On-site presence required 2-3 days a week.
Work locations listed for the hybrid role: Palo Alto, CA; Seattle, WA; Bethesda, MD.
GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers.
Salary: Annual $146,575.00 - $229,600.00.
Employment authorization: GEICO will not sponsor a new applicant for employment authorization for this position.

Compensation note: Annual salary range listed is $146,575.00 - $229,600.00.

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