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

Hours
Flexible schedule with work-life balance ingrained in the culture

Salary
Negotiable

About the Role
As a Senior Manager, Product Data Science & Experimentation at Tripadvisor, you will lead 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, ensuring experimentation is designed, executed, and interpreted consistently and at a high standard across the organisation. Your responsibilities include owning the end-to-end experimentation operating system, defining and enforcing standards, driving velocity and coverage, and establishing a reliable source of truth for experimentation health. You will partner with Product, Engineering, Data Engineering, and Product Data Science leadership to align priorities and improve execution. Additionally, you will identify and eliminate systemic failure modes, reduce reliance on central experimentation support by embedding correct behaviours into product teams, and lead experimentation literacy efforts across the organisation. You will design and scale frameworks, documentation, and tooling to make correct experimentation the default, ensuring metadata integrity and acting as an escalation point for system health. This role offers the opportunity to influence senior stakeholders, drive organisational change, and improve how decisions are made through experimentation.

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 career development
Lifestyle benefit to spend on travel, wellness, or personal interests
Travel perks and discounts
Employee assistance program for life’s challenges
Health benefits with competitive 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 the 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