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Senior Manager, Product Data Science & Analytics

TripAdvisor·Salary not specified

Primary stack

PythonSQLMachine LearningLeadership

Nice to have's

AI

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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