Senior Manager, Product Data Science & Analytics
Primary stack
Nice to have's
Job description
About the Position
We are seeking a Senior Manager of Product Data Science & Analytics to lead and scale a high-performing team in London. At Tripadvisor, we believe in the power of data to revolutionize travel, and we are looking for a leader who can drive this vision forward.
Responsibilities
- Lead and Develop a Team: Ensure consistently high performance, strong technical standards, and clear ownership of impact.
- Drive Goal-Setting and Execution: Implement effective processes across Product Data Science, focusing on OKRs, prioritization, and strategic objectives.
- Set Analytical Standards: Continuously raise the bar for analytical quality, experimentation rigor, and data science application.
- Technical and Strategic Leadership: Review and shape high-impact analytical work, experimentation design, and advanced modeling approaches.
- Cross-Functional Collaboration: Partner with senior leaders to define priorities, shape roadmaps, and embed data science in strategic decision-making.
- Translate Business Problems: Convert ambiguous business problems into structured analytical and data science problems.
- Drive Adoption of Frameworks: Promote scalable analytical frameworks, experimentation standards, and AI-enabled tooling.
- Champion Best Practices: Ensure statistical and analytical rigor across the organization in experimentation, causal inference, segmentation, and customer understanding.
- Build Strong Partnerships: Collaborate with Data Platform, Data Engineering, and other central data functions.
- Evolve Team Capability: Hire, coach, and manage performance to ensure strong technical depth and leadership.
- Remove Blockers: Identify and eliminate systemic barriers to high-quality analytics delivery.
- Influence Cross-Functional Stakeholders: Ensure clarity, prioritization, and strong decision-making discipline across multiple product domains.
Requirements
- Experience: Extensive experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organization.
- Technical & Modeling Expertise: Expert proficiency in Python and SQL. Deep experience with statistical modeling, experimentation, multi-arm bandit, and machine learning techniques.
- Product Acumen: Ability to define, implement, and operationalize crucial product and feature-level metrics.
- Strategic Influence: Proven track record of driving strategic impact through a proactive and collaborative approach.
- Scaling Impact: Experience in scaling analytics or data science capabilities through automated processes, self-service tools, or data products.
- Critical Thinking: Strong analytical skills with a focus on rational, skeptical, and unbiased evaluation.
- Leadership: Outstanding leadership skills, including mentoring, coaching, and developing teams.
- Collaboration & Communication: Exceptional skills in engaging, influencing, and inspiring cross-functional partners.
- Cross-Functional Partnership: Proven ability to build strong relationships and drive outcomes across Product, Engineering, Data Platform, and other central functions.
- Education: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
Nice to Have
- Experience working within a high-scale technology company, marketplace, e-commerce business, or travel technology organization.
- Strong technical background in Product Data Science, Data Science, Experimentation, or Machine Learning.
- Experience building and scaling experimentation platforms, measurement frameworks, self-service capabilities, or data products.
- Experience applying AI, Large Language Models (LLMs), Agentic AI, or automation technologies.
- Experience leading organizational change, improving analytical maturity, and raising standards across multiple teams or functions.
- Reputation for raising the standard of thinking, execution, and decision-making.
We Offer
- Competitive Salary
- Hybrid Work Options
- Professional Development Opportunities
About the Company
Tripadvisor is the world’s largest online travel site, visited by 390 million travelers each month. Our Experiences business, Viator, is a fast-evolving and highly data-driven part of the organization. At Tripadvisor, we believe in the power of data to revolutionize travel and together find the good out there.
© TripAdvisor. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
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