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-Remote

#LI-SM1

#LI-Hybrid

#LI-SM1

Role

Senior Manager, Product Data Science & Analytics

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