Director Product Experimentation & Optimization CDH

The Director of Product Experimentation & Optimization will lead the strategy frameworks and culture that ensure every product decision is guided by evidence rapid learning and measurable impact. This leader will own how we test learn and optimize across the user journey accelerating innovation and improving product discovery and performance at scale.

You will:

• Define and own the experimentation strategy operating model and governance across all product teams
• Build and lead a high-performing experimentation and optimization team
• Develop best practices for A/B testing causal inference multi-armed bandits and rapid experimentation
• Partner with Product Engineering Design and Analytics to validate early ideas and assumptions during product discovery
• Design lightweight test-and-learn approaches (fake doors prototypes smoke tests demand tests Wizard-of-Oz etc.) to de-risk new concepts
• Ensure experimentation is rigorous ethical statistically sound and scalable
• Build tools templates and experimentation platforms that increase velocity and reduce friction
• Translate experiment outcomes into clear insights and recommendations for product and executive teams
• Champion a culture of learning hypothesis-driven development and iterative improvement

This vacancy is not eligible for sponsorship/ we will not sponsor or transfer visas for this position. Also Mayo Clinic DOES NOT participate in the F-1 STEM OPT extension program.

Bachelors degree in a related field (e.g. Computer Science Design Business Cybersecurity Health Informatics). Minimum of 10 years of progressive leadership experience in at least one of the following areas: digital health product development UX design enterprise security or systems operations. Proven experience leading large cross-functional teams and managing enterprise-level initiatives.

Advanced degree (e.g. MS MBA MDes MPH) in a relevant discipline preferred.

The preferred candidate will possess:

• 10 years in experimentation product analytics CRO or data science with strong leadership experience
• Deep expertise in A/B testing experimental design statistics and causal inference
• Experience applying experimentation in product discovery not just optimization
• Strong product sense and ability to partner cross-functionally to shape early hypotheses and opportunity spaces
• Excellent communication skills able to tell a clear story through data and drive alignment
• A track record of accelerating product impact through structured experimentation and optimization