Senior Manager, Product Data Science & Analytics (Travel)

TL;DR

Senior Manager, Product Data Science & Analytics (Travel): Leading and scaling a high-performing team of Analysts and Data Scientists embedded within product domains with an accent on experimentation rigour and analytical quality. Focus on translating ambiguous business problems into structured data science solutions and driving the adoption of AI-enabled tooling.

Location: London, United Kingdom (Remote option indicated)

Company

hirify.global is the world’s largest online travel site, with Viator being its fast-evolving and highly data-driven Experiences business.

What you will do

• Lead and develop a team of Product Analysts and Data Scientists, ensuring high technical standards and clear ownership of impact.
• Drive goal-setting, planning, and execution processes across Product Data Science, specifically managing OKRs and prioritisation.
• Set the bar for analytical quality, experimentation rigour, and the application of data science to ensure robust, actionable outputs.
• Partner with senior leaders in Product, Engineering, Marketing, and Commercial to shape roadmaps and strategic decision-making.
• Translate complex business problems into structured analytical frameworks and commercially meaningful recommendations.
• Drive adoption of scalable frameworks and AI-enabled tooling to improve decision-making speed and consistency.

Requirements

• Extensive experience in data science or quantitative roles, with a track record of influencing product organizations.
• Expert proficiency in Python and SQL.
• Deep hands-on experience with statistical modeling, experimentation, multi-arm bandits, and machine learning (Regression, Classification, Clustering).
• Proven ability to define and operationalise crucial product and feature-level metrics from scratch.
• Experience mentoring, coaching, and developing teams of analysts or data scientists.
• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.

Nice to have

• Experience in high-scale technology companies, marketplaces, e-commerce, or travel tech.
• Background in building scaling experimentation platforms or measurement frameworks.
• Experience applying AI, Large Language Models (LLMs), or Agentic AI to improve analytics productivity.
• Proven track record of leading organisational change and raising analytical maturity.

Culture & Benefits

• Inclusive workplace that welcomes unique perspectives and experiences.
• Highly data-driven environment where data is central to product building.
• Opportunity to work within a global leader in the travel industry.
• Focus on professional growth through coaching and high-impact leadership opportunities.