Senior Manager, Product Data Science & Experimentation

Tripadvisor is the world’s largest online travel site, visited by 390 million travellers each month, and its Experiences business, Viator, is a fast-evolving and highly data-driven part of the organisation. At Viator, data is central to product development, used for customer understanding, decision-making, and driving business impact.

• Extensive experience in data science, experimentation, product analytics, or related quantitative fields with proven improvements in experimentation systems and governance.
• Strong proficiency in SQL and Python.
• Deep understanding of A/B testing, statistical experimentation, causal inference, and applied experimentation frameworks.
• Ability to design, diagnose, and improve end-to-end experimentation systems including governance, tooling, and processes.
• Strong product development understanding with ability to influence roadmap decisions through experimentation insights.
• Proven ability to influence senior stakeholders across Product, Engineering, and Data without direct authority.
• Experience improving experimentation velocity, quality, and adoption through frameworks, automation, or system redesign.
• Critical thinking skills to evaluate experiment design, statistical validity, and result interpretation.
• Leadership skills to drive behavioural and organisational change across teams.
• Exceptional communication skills to clearly explain experimentation concepts to technical and non-technical audiences.

Nice to have:

• Experience improving experimentation systems and governance at scale.
• Experience driving experimentation adoption across multiple product teams and domains.
• Experience building experimentation frameworks, standards, or guardrails.
• Experience reducing dependency on central experimentation teams via self-service enablement.
• Experience with high-scale product environments such as marketplaces, e-commerce, or travel.
• Familiarity with SaaS experimentation tools such as Statsig, Eppo, Growthbook.

• Own the end-to-end experimentation operating system including governance, standards, lifecycle, and quality controls.
• Define and enforce experimentation standards for design, metric selection, statistical validity, and metadata completeness.
• Drive experimentation velocity and balanced testing coverage across product surfaces.
• Establish a single source of truth for experimentation health to inform leadership.
• Partner with Product, Engineering, Data Engineering, and Product Data Science leadership for alignment and issue resolution.
• Identify and eliminate systemic failures in experimentation design and execution.
• Reduce reliance on central experimentation support by improving experiment design quality within product teams.
• Own organisation-wide experimentation literacy ensuring proper experiment design, running, and interpretation.
• Design and scale frameworks, documentation, and tooling to make correct experimentation the default.
• Ensure experiment metadata integrity for comparability, auditability, and decision-making.
• Act as escalation point for experimentation system health to resolve issues promptly.