Senior Manager, Product Data Science & Analytics

Tripadvisor is the world’s largest online travel site, visited by 390 million travellers each month. Their Experiences business, Viator, is a fast-evolving and highly data-driven part of the organisation, where data is central to building great products, understanding customers, improving decision-making, and driving measurable business impact.

• Extensive experience in data science or a similar quantitative role with a track record of supporting product organizations.
• Expert-level proficiency in Python and SQL.
• Deep experience with statistical modeling, (quasi) experimentation, multi-arm bandit, and machine learning techniques (e.g., Regression, Classification, Clustering).
• Ability to define and operationalize product and feature-level metrics from scratch.
• Proven ability to lead technical discussions, drive product strategy, and communicate complex insights with cross-functional partners.
• Experience scaling analytics or data science capabilities via automated processes, self-service tools, or data products.
• Strong critical thinking skills with rational and unbiased analysis.
• Outstanding leadership skills with experience mentoring and developing analysts or data scientists.
• Exceptional collaboration and communication skills to influence and engage at all levels.
• Proven ability to build relationships and drive outcomes across Product, Engineering, Data Platform, and central functions.
• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or related quantitative field.

Nice to have:

• Experience in high-scale technology companies, marketplaces, e-commerce, or travel technology.
• Strong technical background in Product Data Science, Data Science, Experimentation, or Machine Learning before leadership.
• Experience building and scaling experimentation platforms, measurement frameworks, and self-service capabilities.
• Experience applying AI, Large Language Models (LLMs), Agentic AI, or automation to improve analytics and decision-making.
• Experience leading organizational change and raising analytical maturity across teams.
• Reputation for raising standards in thinking, execution, and decision-making.

• Lead, develop, and grow a team of Product Analysts and Data Scientists ensuring high performance and ownership of impact.
• Drive goal-setting, planning, and execution within Product Data Science aligned with strategic objectives.
• Set and raise standards for analytical quality, experimentation rigor, and data science application.
• Act as a senior technical and strategic leader reviewing high-impact analytical work and experimentation design.
• Partner with senior Product, Engineering, Marketing, and Commercial leaders to define priorities and ensure data science integration.
• Translate ambiguous business problems into structured analytical and data science problems with clear recommendations.
• Drive adoption of scalable analytical frameworks, experimentation standards, and AI-enabled tooling.
• Champion best practices in experimentation, causal inference, segmentation, and customer understanding.
• Build and maintain partnerships with Data Platform, Data Engineering, and central data functions.
• Build and evolve team capabilities through hiring, coaching, and performance management.
• Identify and remove blockers to analytics delivery while leading organizational change.
• Influence and align cross-functional stakeholders to ensure clarity and prioritization.

This role is remote friendly as indicated by #LI-remote, based in Poland location as per job location. No additional legal or eligibility restrictions mentioned.