Building & Leading Experimentation Programs
Architecting and managing digital experimentation infrastructure that processes millions of events, enabling teams to make confident, data-informed product decisions through rigorous A/B testing, feature flag management, and statistical analysis.
Designed and maintained experimentation infrastructure handling millions of daily events across web and mobile platforms. Built frameworks that enable product teams to run concurrent experiments safely while maintaining statistical validity.
Led migration from legacy testing tools to modern warehouse-native platforms, improving experiment velocity and statistical confidence while reducing operational costs.
Power analysis, sample size calculation, randomization strategies, and metric selection for statistically valid tests
Client-side and server-side SDKs, custom event tracking, data layer architecture, and integration patterns
Statistical significance testing, multiple comparison corrections, sequential testing, and variance reduction techniques
Experiment lifecycle management, collision detection, guardrail metrics, and cross-team coordination
Built experimentation infrastructure using TypeScript/JavaScript SDKs integrated with analytics platforms (Heap, ContentSquare, Datadog RUM) for comprehensive metric tracking and analysis.
Designed event schemas and data pipelines connecting experiment assignments to business outcomes, enabling rapid iteration and confident decision-making across product teams.
Enabled product teams to validate hypotheses before full rollout, reducing risk and accelerating learning. Experiments informed major product decisions affecting millions in revenue and customer acquisition costs.
Established experimentation best practices and training programs, building a culture of data-informed decision making across engineering, product, and marketing organizations.
Need help building an experimentation program, migrating platforms, or training your team on best practices? I specialize in setting up scalable infrastructure and empowering teams to run high-velocity, statistically rigorous experiments.
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