SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Tripadvisor, the world's largest online travel platform with 390 million monthly visitors, is seeking a Senior Manager of Product Data Science & Experimentation 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 with discipline around OKRs and strategic objectives
- Setting and continuously raising the bar for analytical quality, experimentation rigor, and data science application
- 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 and data science 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 similar quantitative role with proven track record supporting and influencing product organizations
- Expert-level proficiency in Python and SQL with deep hands-on experience in statistical modeling, experimentation, multi-arm bandits, and machine learning techniques (regression, classification, clustering)
- Demonstrated ability to define, implement, and operationalize product and feature-level metrics from scratch
- Proven track record of driving strategic impact through collaborative approach, leading technical discussions, and communicating complex insights to cross-functional partners
- Experience scaling analytics or data science capabilities through automated processes, self-service tools, or data products
- Strong critical thinking and analytical skills with ability to form sound judgments from available facts and evidence
