Head of Product Analytics – Modelling

Overview

In this role you lead Product Analytics to shape data-driven digital experiences across Experian’s direct-to-consumer products. You own strategy, roadmap, and delivery, using predictive modelling and experimentation to optimise journeys, personalise experiences, and grow engagement and lifetime value. You manage a high-performing team and embed insights across the product lifecycle. You partner with Product, Design and Engineering to drive commercial impact.

Pay / Benefits

• Hybrid working – 40% office-based
• Competitive compensation and discretionary bonus
• Pension, Bupa healthcare, sharesave
• 25 days annual leave + 8 bank holidays + 3 volunteering days
• Option to purchase additional annual leave

Responsibilities

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

Key requirements

• Proven experience leading Product/Digital/Customer Analytics teams
• Experience partnering with Product leadership to influence strategy and roadmap
• Experience developing predictive models and analytics like Next Best Action, propensity models, recommendations
• Expertise in behavioural analytics, journey analysis, experimentation and A/B testing
• Advanced SQL skills and handling large-scale datasets
• Strong commercial acumen translating insights into engagement, retention and lifetime value
• Experience establishing product performance frameworks, KPIs and measurement strategies
• Experience leveraging AI and advanced analytics for product innovation

• leadership and people development
• strong collaboration and cross-functional partnership
• commercial acumen and result orientation
• Predictive modeling
• Next Best Action
• propensity models

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