Principal Product Manager, Experimentation & Digital Analytics

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.

• 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.

• 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 Dev Ops
  .
• Passion for innovation, continuous learning, and driving…