Senior Manager, Product Data Science & Analytics

Tripadvisor is the world’s largest online travel site, visited by 390 million travellers each month. The role is embedded within Viator, Tripadvisor's Experiences business, which is a fast-evolving and highly data-driven part of the organisation.

• Extensive experience in data science or a similar quantitative role supporting product organizations.
• Expert level proficiency in Python and SQL.
• Deep experience with statistical modeling, (quasi) experimentation, multi-arm bandit, regression, classification, and clustering.
• Ability to define and operationalise product and feature-level metrics.
• Proven strategic influence and ability to lead technical discussions and communicate insights effectively.
• Experience scaling analytics or data science capabilities through automation, self-service tools, or data products.
• Leadership skills including mentoring, coaching, and developing teams.
• Exceptional collaboration and communication skills.
• Proven ability to build strong cross-functional partnerships without direct authority.
• 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, Experimentation, or Machine Learning prior to leadership.
• Experience building experimentation platforms, measurement frameworks, self-service capabilities, or data products.
• Experience applying AI, Large Language Models (LLMs), Agentic AI, or automation technologies to analytics.
• Experience leading organizational change and raising analytical standards across teams.
• Reputation for elevating thinking, execution, and decision-making standards.

• Lead, develop, and grow a team of Product Analysts and Data Scientists ensuring high performance and strong technical standards.
• Drive goal-setting, planning, and execution across Product Data Science with leadership on OKRs and prioritisation.
• Set and raise standards for analytical quality, experimentation rigor, and data science application.
• Act as a senior technical and strategic leader in reviewing analytical work, experimentation design, and modelling.
• Partner with senior Product, Engineering, Marketing, and Commercial leaders to define priorities and shape roadmaps.
• Translate 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 other central data functions.
• Build team capability through hiring, coaching, and performance management.
• Identify and remove blockers to high-quality analytics delivery and lead organizational change.
• Influence and align cross-functional stakeholders across multiple product domains ensuring prioritisation and decision discipline.