Location
London

Hours
Full Time

Salary
Negotiable

About the Role
At Tripadvisor, we believe we are better together and welcome you for who you are. As the world’s largest online travel site, visited by 390 million travellers each month, our Experiences business, Viator, is a fast-evolving, highly data-driven part of the organisation. Data is at the heart of how we build great products, understand our customers, improve decision-making, and drive measurable business impact.

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 deliver impact through your team and 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.

Key Responsibilities:
- Lead, develop, and grow a team of Product Analysts and Data Scientists, ensuring 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, 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.
- Partner closely with senior Product, Engineering, Marketing, and Commercial leaders to define priorities, shape roadmaps, and embed data science in strategic decision-making.
- Translate ambiguous business problems into structured analytical and data science problems, delivering clear, commercially meaningful recommendations.
- Drive adoption of scalable analytical frameworks, experimentation standards, and AI-enabled tooling to improve efficiency and speed of decision-making.
- Champion best practices in experimentation, causal inference, segmentation, and customer understanding.
- Build and maintain strong partnerships with Data Platform, Data Engineering, and other central data functions.
- Build and evolve the team’s capability through hiring, coaching, and performance management.
- Identify and remove systemic blockers to analytics delivery, improving tooling, processes, and organisational effectiveness.
- Influence and align cross-functional stakeholders across multiple product domains, ensuring clarity, prioritisation, and strong decision-making discipline.

Experience
- Extensive experience in data science or a similar quantitative role with a proven track record supporting and influencing a product organisation.
- Experience scaling analytics or data science capabilities, driving impact through automated processes, self-service tools, or data products.
- Proven ability to lead technical discussions, drive product strategy, and communicate complex insights effectively.
- Experience building and scaling experimentation platforms, measurement frameworks, or data products is highly desirable.
- Experience working within high-scale technology companies, marketplaces, e-commerce, or travel technology organisations is a plus.
- Experience leading organisational change, improving analytical maturity, and raising standards across teams or functions.

About You
- Outstanding leadership skills with experience mentoring, coaching, and developing teams of analysts or data scientists.
- 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).
- Demonstrated ability to define, implement, and operationalise product and feature-level metrics from scratch.
- Critical thinker with the ability to analyze facts, evidence, and arguments to form rational, unbiased judgments.
- Exceptional collaboration and communication skills, able to engage, influence, and inspire cross-functional partners at all levels.
- Proven ability to build strong relationships and drive outcomes across Product, Engineering, Data Platform, and other central functions often without direct authority.
- Experience applying AI, Large Language Models (LLMs), Agentic AI, or automation technologies to improve analytics productivity and decision-making effectiveness is a plus.
- A reputation for raising the standard of thinking, execution, and decision-making in every team and organisation you join.

Qualifications
Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.