Senior Manager, Product Data Science & Experimentation

Tripadvisor is the world’s largest online travel site, visited by 390 million travellers each month, with its Experiences business, Viator, being a fast-evolving and highly data-driven part of the organisation. Data is central to how Viator builds products, using it to understand customers, improve decision-making, and drive measurable business impact.

• Extensive experience in data science or a similar quantitative role supporting product organizations.
• Expert proficiency in Python and SQL.
• Deep hands-on experience with statistical modeling, experimentation, multi-arm bandit, and machine learning techniques such as Regression, Classification, and Clustering.
• Demonstrated ability to define and operationalize product and feature-level metrics.
• Proven track record of strategic influence and leading technical discussions.
• Experience scaling analytics or data science capabilities through automation, self-service tools, or data products.
• Strong critical thinking skills with rational, skeptical, and unbiased analysis.
• Outstanding leadership experience mentoring and developing analyst or data scientist teams.
• Exceptional collaboration and communication skills to engage cross-functional partners.
• Proven success building relationships and driving outcomes across Product, Engineering, and Data 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.
• Background in Product Data Science, Experimentation, or Machine Learning before leadership roles.
• Experience building and scaling experimentation platforms, measurement frameworks, or data products.
• Application of AI, Large Language Models (LLMs), Agentic AI, or automation for analytics and decision-making.
• Leading organizational change to improve analytical maturity and standards.
• Reputation for raising standards of thinking, execution, and decision-making.

• Lead, develop, and grow a team of Product Analysts and Data Scientists to ensure high performance and clear ownership of impact.
• Drive effective goal-setting, planning, and execution aligned with strategic objectives.
• Set and raise standards for analytical quality, experimentation, and data science application.
• Review and shape high-impact analytical work, experimentation design, and advanced modeling.
• Partner with senior Product, Engineering, Marketing, and Commercial leaders to define priorities and embed data science in decision-making.
• Translate ambiguous business problems into structured analytical and data science problems.
• Drive adoption of scalable analytical frameworks, experimentation standards, and AI-enabled tooling.
• Champion best practices in experimentation, causal inference, segmentation, and customer understanding.
• Build partnerships with Data Platform, Data Engineering, and central data functions.
• Hire, coach, and manage team capabilities and leadership.
• Identify and remove systemic blockers to analytics delivery and lead related organizational changes.
• Influence and align cross-functional stakeholders to ensure prioritization and decision-making discipline.