Head of Product Analytics Modelling

Were 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. Youll 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. Youll lead a high-performing team while ensuring customer and commercial insight is embedded throughout the product lifecycle.

What Youll 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.

Qualifications :

Essential Experience & Skills

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

• Desirable Experience

• Experience within a direct-to-consumer digital business subscription business marketplace or e-commerce environment.
• Experience working with digital analytics and experimentation platforms such as GA4 Amplitude Mixpanel Adobe Analytics or similar tools.

Additional Information :

Benefits package includes:

• Hybrid working - 40% office based
• Great compensation package and discretionary bonus plan
• Core benefits include pension bupa healthcare sharesave scheme and more!
• 25 days annual leave with 8 bank holidays and 3 volunteering days. You can also purchase additional annual leave.

Our uniqueness is that we celebrate yours. Experians people first inclusive and purpose driven culture is multi award-winning; Worlds Best Workplaces 2025 (Fortune Global Top 25) Great Place To Work in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why. Experian is also proud to be an Equal Opportunity and Affirmative Action employer. If you have a disability or special need that requires accommodation please let us know at the earliest opportunity.

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Remote Work :

No

Employment Type :

Full-time