Senior Manager, Product Data Science & Experimentation
Housetrip·Accel (Getro)
Kraków, PolandPosted Jul 7, 2026
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Senior Manager, Product Data Science & Experimentation
Krakow, Poland
Data Science and Analytics
06/07/2026
8046277
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About Tripadvisor
We believe that we are better together, and at Tripadvisor we welcome you for who you are. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique perspective and experiences, so we can collectively revolutionize travel and together find the good out there.
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.
About the role:
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.
What You’ll Do
You will be responsible for ensuring experimentation is designed, executed, and interpreted in a consistent, high-quality way across the organisation, while driving 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...