Head of Product Analytics - Modelling

Overview

In this commercially minded analytics leadership role, you will own the Product Analytics strategy and roadmap, partnering with Product, Design and Engineering to embed analytics across the product lifecycle. You will develop predictive models, run experimentation and AI-driven decisioning to optimise customer journeys, engagement, retention and lifetime value. You will lead a high-performing team and ensure customer and commercial insight informs product strategy and execution.

This position sits at the intersection of data, product and growth in our direct-to-consumer business.

• Hybrid working - 40% office based
• Competitive compensation with discretionary bonus
• Pension
• Bupa healthcare
• Sharesave scheme
• 25 days annual leave plus 8 bank holidays and 3 volunteering days

• Own the Product Analytics roadmap aligned to product strategy, customer needs and commercial goals
• Partner with Product Managers, Designers and Engineers from concept to delivery to embed analytics throughout the product lifecycle
• Lead customer journey analytics across web and app to identify trends, friction points and opportunities to improve engagement, conversion and retention
• Develop predictive models and analytical solutions for personalised experiences (Next Best Action, recommendations, intelligent decisioning)
• Influence product strategy and prioritisation through customer insight and commercial evaluation
• Support launches with customer analysis, measurement frameworks and post-launch evaluation
• Champion experimentation, A/B testing and AI-driven approaches to improve engagement and value
• Collaborate with Marketing, Data Science, Data Engineering and Analytics teams to leverage segmentation and scalable data solutions

• Proven experience leading and developing high-performing Product, Digital or Customer Analytics teams
• Strong track record partnering with Product leadership to influence strategy and roadmap
• Experience developing predictive models and systems such as Next Best Action, propensity models or recommendation engines
• Expertise in behavioural analytics, customer journey analysis and experimentation
• Advanced SQL skills with large-scale datasets
• Strong commercial acumen translating insights into engagement, retention and LTV
• Experience establishing product performance frameworks, KPIs and measurement strategies across digital journeys
• Experience leveraging AI, automation and advanced analytics for product innovation

• Collaborative mindset
• Stakeholder management
• Strong commercial acumen
• Predictive modelling
• Next Best Action
• Propensity models