Head of Product Analytics - Modelling

Overview

In this role you will lead Experian’s Product Analytics to shape data-driven experiences across direct-to-consumer products. You will own the analytics roadmap, partner with product, design and engineering, and drive predictive modelling, experimentation and AI-driven decisioning to improve engagement, retention and lifetime value. You’ll guide a high-performing team and embed customer and commercial insight throughout the product lifecycle, aligning analytics with growth objectives and strategic priorities. This is a chance to influence product strategy with actionable insights and scalable analytics at scale.

Pay / Benefits

• Hybrid working - 40% office based
• Competitive compensation with discretionary bonus
• Pension, healthcare, sharesave
• 25 days annual leave + 8 bank holidays + 3 volunteering days
• Additional annual leave purchase option

Responsibilities

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

Key requirements

• Proven experience leading Product Analytics, Digital Analytics or Customer Analytics teams
• Strong experience partnering with Product leadership to influence strategy, prioritisation and roadmap decisions
• Experience developing predictive models such as Next Best Action, propensity models, recommendation engines or intelligent decisioning
• Expertise in behavioural analytics, customer journey analysis, experimentation and A/B testing methodologies
• Advanced SQL skills with large-scale customer and behavioural datasets
• Strong commercial acumen translating insights into engagement, retention and lifetime value
• Experience establishing product performance frameworks, KPIs and measurement strategies across digital products
• Experience leveraging AI, automation and advanced analytics to drive product innovation and decision-making

• Leadership and people development
• Cross-functional collaboration
• Strategic thinking and influence
• Predictive modelling
• Next Best Action
• Propensity modelling

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