Senior Manager, Product Data Science & Analytics

Overview

As Senior Manager of Product Data Science, you lead and scale a high-performing team embedded in Product domains, elevating analytical and technical standards across product areas. You guide data-driven decision-making, shaping strategies with cross-functional partners and ensuring robust experimentation and advanced modeling. You’ll drive scalable analytics, AI-enabled tooling, and impactful data products to support Viator’s growth. This role blends leadership with hands-on technical excellence to raise the bar across the organization.

Responsibilities

• Lead and grow a team of Product Analysts and/or Data Scientists with clear ownership of impact
• Set and manage OKRs, prioritisation, and delivery aligned to strategic objectives
• Raise analytical quality, experimentation rigour, and data science application across teams
• Review and shape high-impact analytical work and advanced modelling approaches
• Partner with senior leaders in Product, Engineering, Marketing, and Commercial to embed data science in decision-making
• Translate ambiguous business problems into structured analytics problems with clear recommendations
• Drive adoption of scalable frameworks, experimentation standards, and AI-enabled tooling
• Champion best practices in experimentation, causal inference, segmentation, and customer understanding
• Build and maintain partnerships with Data Platform and Data Engineering to leverage shared capabilities
• Hire, coach, and develop the team while removing blockers to analytics delivery
• Influence cross-functional stakeholders to ensure prioritization and clear decision-making

• Extensive experience in data science or a similar quantitative role with a track record of influencing a product organization
• Expert-level proficiency in Python and SQL
• Hands-on experience with statistical modeling, experimentation (quasi), multi-arm bandits, and ML techniques (regression, classification, clustering)
• Ability to define and operationalize product and feature-level metrics from scratch
• Proven ability to lead strategic discussions, drive product strategy, and communicate insights to cross-functional partners
• Experience scaling analytics capabilities, including automated processes and self-service tools
• Strong critical thinking and evidence-based judgment
• Outstanding leadership with mentoring/coaching experience
• Excellent collaboration and communication skills across levels
• Bachelor’s degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or related quantitative field

• collaboration and communication
• leadership and mentoring
• influencing cross-functional partners
• Python
• SQL
• statistical modeling