---
title: 'Senior Manager, Product Data Science & Analytics at Tripadvisor'
canonical: 'https://feeny.ai/job/senior-manager-product-data-science-analytics-tripadvisor-london-d250zqyc4t5w'
type: 'job'
last_seen: '2026-10-19'
---

# Senior Manager, Product Data Science & Analytics at Tripadvisor

- **Company:** Tripadvisor
- **Location:** London, United Kingdom
- **Posted:** 2026-07-01
- **Last confirmed live:** 2026-10-19
- **Apply:** https://job-boards.greenhouse.io/tripadvisor/jobs/8011063

## Job description

## 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 of Product Data Science, you will be a key leadership figure within the Product Data Science organisation, responsible for building and scaling a high-performing team of Analysts and Data Scientists embedded within Product domains.

You will not only deliver impact through your team, but also raise the overall analytical and technical bar of the organisation, ensuring data science, experimentation, and product analytics are consistently applied at a high standard across multiple product areas.

You will act as a force multiplier for decision-making quality, improving how Product, Engineering, Design, and Commercial teams use data to shape strategy, prioritise work, and evaluate impact.

## What You’ll Do

- Lead, develop, and grow a team of Product Analysts and/or Data Scientists, ensuring consistently high performance, strong technical standards, and clear ownership of impact.
- Drive effective goal-setting, planning and execution processes across Product Data Science, bringing leadership and discipline to OKRs, prioritisation and delivery against strategic objectives.
- Set and continuously raise the bar for analytical quality, experimentation rigour, and data science application across your teams, ensuring outputs are robust, actionable, and decision-oriented.
- Act as a senior technical and strategic leader, reviewing and shaping high-impact analytical work, experimentation design, and advanced modelling approaches where required.
- Partner closely with senior Product, Engineering, Marketing, and Commercial leaders to define priorities, shape roadmaps, and ensure data science is embedded in strategic decision-making.
- Translate ambiguous business problems into structured analytical and data science problems, ensuring your team delivers clear, commercially meaningful recommendations.
- Drive adoption of scalable analytical frameworks, experimentation standards, and AI-enabled tooling to improve efficiency, consistency, and speed of decision-making across teams.
- Champion best practices in experimentation, causal inference, segmentation, and customer understanding, ensuring statistical and analytical rigor across the organisation.
- Build and maintain strong partnerships with Data Platform, Data Engineering and other central data functions, ensuring the team can effectively leverage shared capabilities while influencing the long-term data ecosystem.
- Build and evolve the team’s capability through hiring, coaching, and performance management, ensuring strong technical depth and leadership within the function.
- Identify and remove systemic blockers to high-quality analytics delivery, improving tooling, processes, ways of working and organisational effectiveness across Product Data Science while leading change that enables the team to scale.
- Influence and align cross-functional stakeholders across multiple product domains, ensuring clarity, prioritisation, and strong decision-making discipline.

## Skills & Experience

- Experience: Extensive experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organization.
- Technical & Modeling Expertise: Expert Level proficiency in Python and SQL. Deep, hands-on experience with statistical modeling, (quasi) experimentation, multi-arm bandit, and a wide range of machine learning techniques (e.g., Regression, Classification, Clustering).
- Product Acumen: Demonstrated ability to define, implement, and operationalise crucial product and feature-level metrics from scratch.
- Strategic Influence: A proven track record of driving strategic impact through proactive and collaborative approach with the proven ability to lead technical discussions, drive product strategy, and communicate complex insights effectively to cross-functional partners (e.g., Product, Engineering, Design).
- Scaling Impact: Experience scaling analytics or data science capabilities, driving impact through the creation of automated processes, self-service tools, or data products.
- Critical Thinking: Leader in critical thinking, your previous experience will demonstrate the analysis of available facts, evidence, observations, and arguments in order to form a judgment by the application of rational, skeptical, and unbiased analyses and evaluation.
- Leadership: Outstanding leadership skills, with experience in mentoring, coaching, and developing teams of analysts or data scientists.
- Collaboration & Communication: Exceptional collaboration and communication skills, with the ability to engage, influence, and inspire cross-functional partners at all levels.
- Cross-Functional Partnership: Proven ability to build strong relationships and drive outcomes across Product, Engineering, Data Platform and other central functions, often without direct authority.
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.

You could be an especially great fit if you have:

- Experience working within a high-scale technology company, marketplace, e-commerce business, or travel technology organisation.
- A strong technical background in Product Data Science, Data Science, Experimentation, or Machine Learning before moving into leadership roles.
- Experience building and scaling experimentation platforms, measurement frameworks, self-service capabilities, or data products.
- Experience applying AI, Large Language Models (LLMs), Agentic AI, or automation technologies to improve analytics productivity and decision-making effectiveness.
- Experience leading organisational change, improving analytical maturity, and raising standards across multiple teams or functions.
- A reputation for raising the standard of thinking, execution, and decision-making in every team and organisation you join.

#LI-Hybrid

## #LI-SM1

## About Tripadvisor

## Company Overview
- **One-liner**: Tripadvisor is the world's largest travel guidance platform, helping hundreds of millions of travelers each month plan, book, and share experiences using over a billion reviews and opinions.
- **Entity Type**: Public (NASDAQ: TRIP)
- **Headquarters**: Needham, Massachusetts, United States
- **Founded**: Not publicly available in provided sources (commonly known as 2000, but not cited)
- **Founders**: Not publicly available in provided sources (commonly known as Stephen Kaufer, but not cited)

## Core Business
- **Primary Industry**: Travel technology / Software development
- **Target Customers**: B2C (travelers seeking reviews, booking, and trip planning) and B2B (hotels, restaurants, attractions, and experience providers)
- **Mission Statement**: “To bring people, passions, and places together and make everyone a better traveler.” [careers.tripadvisor.com](https://careers.tripadvisor.com/)

## Products & Services
- **Tripadvisor.com / App**: The core platform offering reviews, ratings, and booking for accommodations, restaurants, and attractions.
- **Viator**: Marketplace for bookable tours, activities, and experiences.
- **TheFork**: Restaurant reservation platform (primarily in Europe).
- **Cruise Critic**: Cruise reviews and information.
- **FlipKey / Holiday Lettings**: Vacation rental listing platforms.
- **SeatGuru**: Airline seat maps and in-flight amenity information.
- **SinglePlatform**: Digital menu and local business listing management.
- **Bokun**: Booking and inventory management software for tour operators.

## Market Standing
- **Valuation / Market Cap**: $3.5 billion (as of search date) [linkedin.com](https://www.linkedin.com/company/tripadvisor)
- **Key Metric**: Annual Revenue of $1.9 billion (most recent reported) [linkedin.com](https://www.linkedin.com/company/tripadvisor)
- **Notable Investors / Partners**: Publicly traded; parent company is Liberty TripAdvisor Holdings Inc. [linkedin.com](https://www.linkedin.com/company/tripadvisor)
- **Growth Signals**: Serves 400M+ monthly users; over 1 billion reviews and contributions; operates in 43 markets and 22 languages; recent acquisition of Liberty TripAdvisor Holdings (2025) for $437M; headcount of 1,816 (‑1.7% YoY) [linkedin.com](https://www.linkedin.com/company/tripadvisor) [tripadvisor.com](https://www.tripadvisor.com/)

## Competitive Advantages
- **Massive User-Generated Content**: Over 1 billion reviews and opinions across nearly 8 million businesses create a strong network effect.
- **Global Brand Recognition**: One of the most recognized travel brands worldwide, with presence in 75 countries.
- **Diverse Product Portfolio**: From reviews to booking to restaurant reservations (TheFork) and experiences (Viator), covering the full travel journey.
- **Data Moat**: Decades of traveler behavior data enable personalization and AI-driven recommendations.

## Strategic Focus
- **Next Chapter in Travel**: CEO Matt (last name not provided) emphasizes “writing the next chapter” and supporting small businesses. [careers.tripadvisor.com](https://careers.tripadvisor.com/)
- **AI & Personalization**: Recent departures of AI leadership suggest ongoing transformation; job postings include senior engineering and product roles focused on data and AI.
- **Hybrid Work & Global Talent**: Activity-based working model encourages in-person collaboration while supporting remote flexibility across offices in the Americas, EMEA, and APAC.

## Why Work Here
- **Culture & Values**: Described as “fueled by curiosity, flexibility, and collaboration” with a shared love of travel. [careers.tripadvisor.com](https://careers.tripadvisor.com/life-at-tripadvisor)
- **Work Model**: Activity-based working (hybrid) – some roles optimized for office, others for home; all full-time employees expected to spend some in-person time.
- **Benefits**: Full medical premium coverage for employee-only plans (some options), dental, vision, Employee Assistance Program (EAP), free Calm subscription, virtual babysitting/wellness support via SitterStream. [careers.tripadvisor.com](https://careers.tripadvisor.com/life-at-tripadvisor)
- **Career Development**: Award‑winning development program focused on growing yourself, others, and the business; live and on‑demand learning experiences. [careers.tripadvisor.com](https://careers.tripadvisor.com/life-at-tripadvisor)
- **Diversity & Inclusion**: Employee Resource Groups (ERGs) for underrepresented communities; recognized as a leader in LGBTQ+ Workplace Inclusion (2026). [careers.tripadvisor.com](https://careers.tripadvisor.com/)
- **Employee Ratings**: 3.6/5.0 on LinkedIn (1,668 reviews); Work‑Life 4.2, Compensation 3.9, Culture 3.9. [linkedin.com](https://www.linkedin.com/company/tripadvisor)
- **Global Offices**: Major hubs in Needham (MA), New York, London, Oxford, Paris, Sydney, Tokyo, Singapore, and many more. [careers.tripadvisor.com](https://careers.tripadvisor.com/life-at-tripadvisor)

## Sources
1. [careers.tripadvisor.com](https://careers.tripadvisor.com/) – Official careers page, mission, benefits, culture
2. [careers.tripadvisor.com/life-at-tripadvisor](https://careers.tripadvisor.com/life-at-tripadvisor) – Life at Tripadvisor, benefits, offices, ERGs
3. [linkedin.com/company/tripadvisor](https://www.linkedin.com/company/tripadvisor) – Company overview, financials, headcount, recent departures, acquisitions
4. [tripadvisor.com](https://www.tripadvisor.com/) – Core platform, reviews count, user base

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