Senior Manager, Product Data Science & Analytics

Stack

Responsibilities

• ▹Lead, develop and grow a team of Product Analysts and/or Data Scientists, ensuring consistently high performance, strong technical standards and clear ownership of impact
• ▹Drive effective goal-setting, planning and execution across Product Data Science, bringing leadership and discipline to OKRs, prioritisation and delivery against strategic objectives
• ▹Set and continuously raise the bar for analytical quality, experimentation rigour and data science application, ensuring outputs are robust, actionable and decision-oriented
• ▹Act as a senior technical and strategic leader, reviewing and shaping high-impact analytical work, experimentation design and advanced modelling approaches where required
• ▹Partner closely with senior Product, Engineering, Marketing and Commercial leaders to define priorities, shape roadmaps and embed data science in strategic decision-making
• ▹Translate ambiguous business problems into structured analytical and data science problems with clear, commercially meaningful recommendations
• ▹Drive adoption of scalable analytical frameworks, experimentation standards and AI-enabled tooling to improve efficiency, consistency and speed of decision-making
• ▹Champion best practices in experimentation, causal inference, segmentation and customer understanding
• ▹Build strong partnerships with Data Platform, Data Engineering and other central data functions and influence the long-term data ecosystem
• ▹Build the team's capability through hiring, coaching and performance management
• ▹Identify and remove systemic blockers to high-quality analytics delivery, improving tooling, processes and ways of working, and lead change that enables the team to scale
• ▹Influence and align cross-functional stakeholders across multiple product domains

Requirements

• ▹Extensive experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organization
• ▹Expert-level proficiency in Python and SQL
• ▹Deep, hands-on experience with statistical modeling, (quasi) experimentation, multi-arm bandit and a wide range of machine learning techniques (e.g. regression, classification, clustering)
• ▹Demonstrated ability to define, implement and operationalise crucial product and feature-level metrics from scratch
• ▹A proven track record of driving strategic impact through a proactive and collaborative approach, with the ability to lead technical discussions, drive product strategy and communicate complex insights to cross-functional partners (Product, Engineering, Design)
• ▹Experience scaling analytics or data science capabilities through automated processes, self-service tools or data products
• ▹Leader in critical thinking: analysis of facts, evidence, observations and arguments through rational, skeptical and unbiased evaluation
• ▹Outstanding leadership skills, with experience in mentoring, coaching and developing teams of analysts or data scientists
• ▹Exceptional collaboration and communication skills, with the ability to engage, influence and inspire cross-functional partners at all levels
• ▹Proven ability to build strong relationships and drive outcomes across Product, Engineering, Data Platform and other central functions, often without direct authority
• ▹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 organisation
• ▹A strong technical background in Product Data Science, Data Science, Experimentation or Machine Learning before moving into leadership roles
• ▹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 to improve analytics productivity and decision-making effectiveness
• ▹Experience leading organisational change, improving analytical maturity and raising standards across multiple teams or functions
• ▹A reputation for raising the standard of thinking, execution and decision-making in every team and organisation you join

Soft skills

About the company

Tripadvisor is the world's largest online travel site, visited by 390 million travellers each month. Its Experiences business, Viator, is a fast-evolving and highly data-driven part of the organisation, where data is at the heart of how products are built.