Location
London (Remote-friendly with option to join on-site as often as desired in select locations)

Hours
Flexible schedule with a remote-friendly approach to collaboration

Salary
Negotiable

About the Role
As a Senior Manager, Product Data Science & Experimentation at Tripadvisor, you will own the health, velocity, quality, governance, and organisational maturity of experimentation across Viator and Tripadvisor. You will provide strong technical leadership within the Product Data Science function and ensure experimentation is designed, executed, and interpreted consistently and with high quality across the organisation. Your responsibilities include owning the end-to-end experimentation operating system, defining and enforcing standards, driving velocity and coverage, establishing a single source of truth for experimentation health, and partnering with Product, Engineering, and Data leadership to improve execution. You will identify and eliminate systemic failure modes, reduce reliance on central experimentation support by improving upstream experiment design, and embed correct behaviours into product teams. Additionally, you will own experimentation literacy across the organisation by designing and scaling frameworks, documentation, and tooling that make correct experimentation the default. You will ensure experiment metadata integrity and act as an escalation point for experimentation system health to resolve issues promptly.

What We Offer
Competitive compensation packages including base salary and annual bonus
Flexible work arrangements to suit your lifestyle
Donation matching for qualifying charitable donations
Tuition assistance for qualified programs
Lifestyle benefit to spend on travel, wellness, or other personal interests
Travel perks including discounts
Employee assistance program providing resources and support
Health benefits with competitive coverage and premiums
Generous referral scheme rewarding successful candidate referrals
Our culture is built on pillars of putting the traveller first, agile and data-driven execution, and succeeding together through collaboration and ownership.

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 with SaaS experimentation tools such as Statsig, Eppo, Growthbook or others
- A reputation for improving how organisations make decisions, not just the quality of individual analyses or experiments