Senior Data Science Manager (Experimentation)
London
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingAs 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.
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.
From the employer’s posting
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.
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.
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.
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.
Tools in this posting
- Python
- SQL
Source — Tool mentions in context
- Experience: Extensive experience in data science, experimentation, product analytics, or a similar quantitative discipline, with a proven track record of improving experimentation systems, governance, or decision-making quality in a product-led organisation. - Technical Expertise: Strong proficiency in SQL and Python, with deep understanding of A/B testing, statistical experimentation, causal inference, and applied experimentation frameworks. - Systems Thinking: Demonstrated ability to design, diagnose, and improve end-to-end experimentation systems, including governance, tooling, processes, and organisational behaviour.
Benefits in the posting
Full benefits wording- Competitive compensation packages, including base salary, annual bonus, and more.
- Donation matching. Give back? Give more! We match qualifying charitable donations annually.
- Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs.
- Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you.
- Travel perks. We believe that travel is employee development, so we provide discounts and more.
- Health benefits. We offer great coverage and competitive premiums.
- Our Cultural Pillars:
From the employer’s posting.
About Tripadvisor Inc
The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences.
In the employer’s words · Read in context
Job description
About Tripadvisor
The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork.
Tripadvisor Experiences is the team that builds and supports the world's leading marketplace for travel experiences. We believe that making memories is what travel is all about. And with 400,000+ travel experiences to explore—everything from simple tours to extreme adventures (and everything in between) —making memories that will last a lifetime has never been easier.
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 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.
Skills & Experience
- Experience: Extensive experience in data science, experimentation, product analytics, or a similar quantitative discipline, with a proven track record of improving experimentation systems, governance, or decision-making quality in a product-led organisation.
- Technical Expertise: Strong proficiency in SQL and Python, with deep understanding of A/B testing, statistical experimentation, causal inference, and applied experimentation frameworks.
- Systems Thinking: Demonstrated ability to design, diagnose, and improve end-to-end experimentation systems, including governance, tooling, processes, and organisational behaviour.
- Product Acumen: Strong understanding of product development and decision-making, with ability to influence prioritisation and roadmap decisions through experimentation insight.
- Strategic Influence: Proven ability to influence senior stakeholders across Product, Engineering, and Data organisations without direct authority.
- Scaling Impact: Experience improving experimentation velocity, quality, and adoption through structural interventions such as frameworks, automation, or system redesign.
- Critical Thinking: Strong ability to evaluate experiment design, statistical validity, and interpretation of results, and to improve the thinking of others.
- Leadership: Demonstrated ability to lead through influence, driving behavioural and organisational change across multiple teams.
- Communication: Exceptional ability to communicate experimentation concepts clearly and confidently to technical and non-technical audiences.
You could be an especially great fit if you have:
- Experience improving experimentation systems, governance, or operating models at scale rather than only running or analysing experiments.
- 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.
What We Offer
- Competitive compensation packages, including base salary, annual bonus, and more.
- “Work your way” with flexibility to suit your lifestyle. We take a remote-friendly approach to collaboration, with the option to join on-site as often as you’d like in select locations.
- Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work.
- Donation matching. Give back? Give more! We match qualifying charitable donations annually.
- Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs.
- Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you.
- Travel perks. We believe that travel is employee development, so we provide discounts and more.
- Employee assistance program. We’re here for you with resources and programs to help you through life’s challenges.
- Health benefits. We offer great coverage and competitive premiums.
- Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates.
Our Cultural Pillars:
- Traveller first: We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us.
- Execution is our edge: We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data-driven, prioritised, and built to scale. We assume no problem is someone else’s problem and finish what can be done today, knowing tomorrow will bring fresh challenges.
- We succeed together: The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements.
Discover more in our Tech Blog, for an inside look into some of our exciting and ground-breaking technical projects here at Tripadvisor Group.
Tripadvisor Group champions the unique identities, abilities, and experiences of all our people – employees, customers, and partners. This stems from our belief in the transformative power of travel, dining, and experiences to connect us and open doors to worlds very different from our own. Our ED&I strategy shapes how we approach our people, culture, business, and reputation. Tripadvisor Group strives to embed inclusion and belonging across all our brands.
We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at AccessibleRecruiting@tripadvisor.com.
If you have any additional questions about careers at Tripadvisor you can email us at recruitment@tripadvisor.com. We have all the answers!
#LI-Remote
#LI-SM1
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Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
London
- Competitive compensation packages, including base salary, annual bonus, and more. - “Work your way” with flexibility to suit your lifestyle. We take a remote-friendly approach to collaboration, with the option to join on-site as often as you’d like in select locations. - Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work.
More source context
If you have any additional questions about careers at Tripadvisor you can email us at recruitment@tripadvisor.com. We have all the answers! #LI-Remote #LI-SM1
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Jul 7, 2026
- Recorded sightings
- 80
- Last seen by us
- Oct 9, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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