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Tripadvisor

Tripadvisor, founded in 2000, is an award-winning network for travel information that features real advice from global travelers. The world’s largest travel s

Senior Manager, Product Data Science & Experimentation

Location

Worldwide

Posted

3 days ago

Salary

0

Seniority

Lead

No structured requirement data.

Job Description

Senior Manager, Product Data Science & Experimentation

Tripadvisor

Role Description As a Senior Manager, Product Data Science & Experimentation you will own the health, velocity, quality, governance, and organisational maturity of experimentation across Viator and Tripadvisor, while providing strong technical leadership from within the Product Data Science function. - Ensure experimentation is designed, executed, and interpreted in a consistent, high-quality way across the organisation. - Drive continuous improvement in velocity, adoption, and organisational capability. - Own the end-to-end experimentation operating system, including governance, standards, lifecycle, and quality controls across all experiments. - Define and enforce experimentation standards, ensuring consistent rules for experiment design, metric selection, statistical validity, and metadata completeness. - Drive experimentation velocity and coverage, ensuring balanced testing across product surfaces and eliminating under-tested or untested areas. - Establish a single source of truth for experimentation health, ensuring leadership can reliably understand what is being tested, where, and with what outcomes. - Partner with Product, Engineering, Data Engineering, and Product Data Science leadership to align on priorities, resolve system-level issues, and improve experimentation execution. - Identify and eliminate systemic failure modes in experimentation design and execution, preventing recurring issues rather than repeatedly fixing them downstream. - Reduce reliance on central experimentation support by improving upstream experiment design quality and embedding correct behaviours into product teams. - Own experimentation literacy across the organisation, ensuring teams understand how to design, run, and interpret experiments correctly as part of normal product development. - Design and scale frameworks, documentation, and tooling that make correct experimentation the default and reduce dependency on reactive support or ad hoc guidance. - Ensure experiment metadata integrity and completeness so that results are comparable, auditable, and usable for decision-making and organisational learning. - Act as an escalation point for experimentation system health, ensuring issues are resolved quickly and do not persist across cycles. Qualifications - Extensive experience in data science, experimentation, product analytics, or a similar quantitative discipline. - Proven track record of improving experimentation systems, governance, or decision-making quality in a product-led organisation. - Strong proficiency in SQL and Python. - Deep understanding of A/B testing, statistical experimentation, causal inference, and applied experimentation frameworks. - Demonstrated ability to design, diagnose, and improve end-to-end experimentation systems. - Strong understanding of product development and decision-making. - Proven ability to influence senior stakeholders across Product, Engineering, and Data organisations without direct authority. - Experience improving experimentation velocity, quality, and adoption through structural interventions. - Strong ability to evaluate experiment design, statistical validity, and interpretation of results. - Demonstrated ability to lead through influence, driving behavioural and organisational change across multiple teams. - Exceptional ability to communicate experimentation concepts clearly and confidently to technical and non-technical audiences. Requirements - Experience improving experimentation systems, governance, or operating models at scale. - Experience driving experimentation adoption across multiple product teams, domains, or brands. - Experience building experimentation frameworks, standards, or guardrails that improve quality and consistency. - Experience reducing organisational dependency on central experimentation or data science teams through better system design and self-service enablement. - Experience working in high-scale product environments such as marketplaces, e-commerce, or travel platforms. - Experience working in SaaS experimentation tools such as Statsig, Eppo, Growthbook, and others. - A reputation for improving how organisations make decisions, not just the quality of individual analyses or experiments. Company Description Tripadvisor is the world’s largest online travel site, visited by 390 million travellers each month, and our Experiences business, Viator, is a fast-evolving and highly data-driven part of the organisation. At Viator, data is at the heart of how we build great products. We use it to understand our customers, improve decision-making, and drive measurable business impact.

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Wabash logo

Digital Product Manager

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Full TimeRemoteTeam 2,631Since 1985

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Unit4 logo

Senior Product Owner

Unit4

The Next-Generation in Smart Enterprise Resource Planning.

Full TimeRemoteTeam 1,001-5,000Since 1980H1B No Sponsor

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