Senior Manager, Product Data Science & Analytics
RemoteUnited Kingdom
Job Summary
Lead and scale a high-performing team of Product Analysts and Data Scientists embedded within product domains, driving goal-setting, planning, and execution across strategic objectives. Set rigorous standards for analytical quality, experimentation design, and advanced modeling to ensure outputs are robust and decision-oriented. Partner with senior Product, Engineering, Marketing, and Commercial leaders to define priorities, shape roadmaps, and translate ambiguous business problems into structured analytical solutions. Champion best practices in causal inference, segmentation, and customer understanding while building partnerships with Data Platform and Engineering to leverage shared capabilities. Identify systemic blockers to improve tooling, processes, and organizational effectiveness, influencing cross-functional stakeholders to ensure clarity and strong decision-making discipline.
Required Qualifications
- Extensive experience in data science or a similar quantitative role
- Proven track record of supporting and influencing a product organization
- Expert Level proficiency in Python
- Expert Level proficiency in SQL
- Deep, hands-on experience with statistical modeling
- Deep, hands-on experience with (quasi) experimentation
- Deep, hands-on experience with multi-arm bandit
- Deep, hands-on experience with a wide range of machine learning techniques
- Demonstrated ability to define, implement, and operationalise crucial product and feature-level metrics from scratch
- Proven track record of driving strategic impact through proactive and collaborative approach
- Proven ability to lead technical discussions
- Proven ability to drive product strategy
- Proven ability to communicate complex insights effectively to cross-functional partners
- Experience scaling analytics or data science capabilities
- Experience driving impact through the creation of automated processes, self-service tools, or data products
- Leader in critical thinking
- Previous experience demonstrating the analysis of available facts, evidence, observations, and arguments in order to form a judgment by the application of rational, skeptical, and unbiased analyses and evaluation
- Outstanding leadership skills
- Experience in mentoring, coaching, and developing teams of analysts or data scientists
- Exceptional collaboration and communication skills
- 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
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field
Desired Qualifications
- 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
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