Senior Manager, Product Data Science & Analytics

About the role

You will lead and grow a team of data scientists and analysts embedded within the Viator product organization. This role focuses on scaling analytical capabilities, setting technical standards, and partnering with cross-functional leadership to drive strategy through data.

Key facts

What you'll do

• Manage, mentor, and hire a team of analysts and data scientists to ensure high performance and technical excellence.
• Define and execute OKRs, planning, and delivery processes to meet strategic business objectives.
• Oversee the quality of experimentation, causal inference, and modeling to provide actionable insights for product development.
• Collaborate with Product, Engineering, Marketing, and Commercial leaders to influence roadmaps and decision-making.
• Translate complex business challenges into structured analytical problems.
• Implement scalable analytical frameworks and AI-enabled tools to improve team efficiency.
• Partner with Data Engineering and Platform teams to influence the long-term data ecosystem.
• Remove operational blockers and drive organizational change to improve analytical maturity.

Requirements

• Extensive experience in data science or quantitative roles with a history of influencing product organizations.
• Bachelor degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• Expert proficiency in Python and SQL.
• Deep hands-on experience with statistical modeling, experimentation, multi-arm bandits, and machine learning techniques such as regression, classification, and clustering.
• Proven ability to define and operationalize product and feature-level metrics.
• Experience scaling analytics capabilities through automation, self-service tools, or data products.
• Demonstrated leadership in mentoring and developing technical teams.
• Ability to communicate complex insights to cross-functional stakeholders and drive strategy.

Nice to have

• Experience in high-scale tech, marketplaces, e-commerce, or travel technology.
• Background in building experimentation platforms or measurement frameworks.
• Experience applying AI, Large Language Models, Agentic AI, or automation to improve analytics productivity.
• Proven success in leading organizational change and raising analytical standards across multiple teams.

Skills & tools

• Python
• SQL
• Machine Learning (Regression, Classification, Clustering)
• Statistical Modeling
• Experimentation and Causal Inference
• Multi-arm Bandits
• AI and LLM integration

Practical notes

• This role is designated as hybrid.