Experimentation Product Owner

About the Role

Key Responsibilities

• Define and own the vision and roadmap for marketing's experimentation framework.
• Drive adoption of a 'test-and-learn' culture across marketing.
• Ensure experimentation supports MMM calibration and marketing effectiveness goals.
• Manage a centralized Channel Optimization Testing agenda, establishing governance standards for rigorous, unbiased tests aligned with marketing and business objectives.
• Create guidelines for randomization, control groups, and sample sizing to ensure reliable outcomes.
• Identify campaigns, channels, and audiences suitable for controlled experiments in partnership with sister teams.
• Define success metrics for experiments and ensure they are measurable and aligned with KPIs.
• Provide frameworks, playbooks, and training to empower marketers to run high-quality experiments independently.
• Support MMM calibration by translating experimental findings into inputs for models, such as ROI adjustments and saturation effects.
• Catalogue all marketing testing activities and share key learnings to inform future experiments.

Requirements

• Bachelor's degree in a related field or equivalent work experience.
• Six to eight years of statistical and/or data analytics experience.
• Strong grasp of A/B testing, geo-testing, incrementality, and MMM calibration concepts.
• Ability to influence and partner with marketing and analytics leaders.
• Skilled at translating experimental outcomes into clear insights for stakeholders.
• Familiarity with SQL and data visualization tools such as Power BI.
• Experience running experiments across digital and offline media channels.
• Exposure to advanced measurement approaches like MMM, MTA, causal inference, uplift modeling.
• Motivated professional with a product mindset focused on customer value and results.
• Passionate about embedding experimentation into decision-making and fostering a test-and-learn culture.

Nice to Have

• Background in marketing measurement (MMM, attribution, incrementality testing).
• Experience with automation, efficiency, and innovation in technical skills.
• Leadership experience influencing marketing and analytics teams.
• Excellent communication skills for translating data into insights.

Qualifications

• Bachelor's degree or equivalent work experience
• 6+ years of experience in data analytics or related fields

Benefits & Perks

• Paid holidays
• Disability insurance
• Health insurance (medical, dental, vision)
• 401(k) and employer-funded retirement plan
• Adoption assistance
• Parental leave
• Flexible schedule with hybrid work arrangement
• Paid vacation (2 to 5 weeks depending on tenure and role)
• Up to 11 paid holidays
• Sick and Safe Leave accruals
• Life insurance