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Tripadvisor, the world's largest online travel platform with 390 million monthly visitors, is seeking a Senior Manager of Product Data Science & Analytics to lead and scale a high-performing team of analysts and data scientists embedded within product domains.
In this leadership role, you will be a key figure within the Product Data Science organization, responsible for building and developing a team while raising the analytical and technical bar across the organization. You will act as a force multiplier for decision-making quality, improving how Product, Engineering, Design, and Commercial teams use data to shape strategy, prioritize work, and evaluate impact.
Key responsibilities include:
- Leading, developing, and growing a team of Product Analysts and Data Scientists with high performance standards and clear ownership of impact
- Driving goal-setting, planning, and execution processes across Product Data Science, bringing discipline to OKRs, prioritization, and strategic delivery
- Setting and raising the bar for analytical quality, experimentation rigor, and data science application across teams
- Acting as a senior technical and strategic leader, reviewing and shaping high-impact analytical work and advanced modeling approaches
- Partnering with senior Product, Engineering, Marketing, and Commercial leaders to define priorities and embed data science in strategic decision-making
- Translating ambiguous business problems into structured analytical problems with clear, commercially meaningful recommendations
- Driving adoption of scalable analytical frameworks, experimentation standards, and AI-enabled tooling
- Championing best practices in experimentation, causal inference, segmentation, and customer understanding
- Building partnerships with Data Platform and Data Engineering teams to leverage shared capabilities
- Identifying and removing systemic blockers to analytics delivery, improving tooling and organizational effectiveness
Required experience and skills:
- Extensive background in data science or quantitative roles with proven track record supporting product organizations
- Expert-level proficiency in Python and SQL
- Deep hands-on experience with statistical modeling, experimentation, multi-arm bandits, and machine learning techniques (regression, classification, clustering)
- Demonstrated ability to define and operationalize product and feature-level metrics
- Proven track record driving strategic impact through collaboration and technical leadership
- Experience scaling analytics or data science capabilities through automation, self-service tools, or data products
- Strong critical thinking and ability to analyze facts, evidence, and arguments to form sound judgments
