Head of Product Analytics - Modelling

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.

 

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.

 

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Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.