Head of Product Analytics - Modelling
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Job Description
We're looking for a commercially minded, customer-focused analytics leader to head up our Product Analytics function. This is a high-impact leadership role partnering with Product leadership to shape data-driven digital experiences across our direct-to-consumer products. You'll own the Product Analytics strategy, roadmap and delivery, using predictive modelling, experimentation, behavioural insights and AI-driven decisioning to optimise customer journeys, accelerate product innovation, personalisation, and maximise customer engagement, personalisation, retention and lifetime value. You'll lead a high-performing team while ensuring customer and commercial insight is embedded throughout the product lifecycle.
What You'll Be Doing
• Own the Product Analytics roadmap, aligning analytical priorities to product strategy, customer needs and commercial objectives.
• Partner with Product Managers, Designers and Engineering teams from concept through to delivery, embedding analytics throughout the product lifecycle.
• Lead customer journey analytics across web and app experiences, identifying behavioural trends, friction points and opportunities to improve engagement, conversion and retention.
• Develop predictive models and analytical solutions that power personalised customer experiences, including Next Best Action, recommendations and intelligent decisioning.
• Influence product strategy and prioritisation through customer insight, behavioural analytics, opportunity sizing and commercial evaluation.
• Support the launch of new products and features through customer analysis, experimentation, measurement frameworks and post-launch performance evaluation.
• Champion experimentation, A/B testing and AI-driven approaches to continuously improve customer engagement, product performance and customer value.
• Collaborate with Marketing, Data Science, Data Engineering and Analytics teams to leverage customer segmentation, behavioural insights and scalable data solutions.
Requirements
Department: Analytics
Function: Information Technology
Experience Level: Not Applicable