Principal Product Manager, Experimentation & Digital Analytics
Core
Own the strategy and roadmap for GEICO's experimentation and digital analytics platforms to enable a company-wide culture of data-driven decision making and self-service analytics.
Role type
Principal Product Manager (Experimentation & Digital Analytics Platforms)
Builds
Enterprise-wide experimentation infrastructure, digital behavioral analytics tools, and insight generation platforms
Domain
Insurance / Data Science / Digital Transformation
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Platform product strategy, experimental design, statistical inference, causal measurement, self-service tool adoption, cross-functional leadership, quantitative analysis, Agile methodologies
Preferred skills
Advanced degree in quantitative field, building A/B testing infrastructure, feature flagging systems, session replay tools, causal inference expertise, AI tool fluency
Technologies
JIRA, Azure DevOps, A/B testing frameworks, feature flagging systems, session replay tools
Responsibilities
Define product vision and roadmap for experimentation platforms; Drive adoption of analytics tools across product, design, engineering, and marketing teams; Enable self-service automation for experiment design, execution, and analysis; Define governance standards for statistical methodology and metric definitions; Partner with data science and engineering to define instrumentation strategy; Lead cross-functional teams through the product lifecycle; Conduct user research to identify friction points; Prioritize features based on business impact and technical feasibility; Define north-star metrics for platform health; Champion a culture of experimentation and data-driven decision making; Collaborate with stakeholders to align on platform strategy and investment; Oversee platform rollout and adoption plans; Partner with technology leaders to drive scalable platform architecture.