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4 дня назад

Head of Product Analytics - Modelling (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
head
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Head of Product Analytics - Modelling (AI): Leading product analytics for direct-to-consumer digital products with an accent on predictive modelling, experimentation, behavioural insights, and AI-driven decisioning. Focus on developing personalised customer experiences, influencing product strategy, and building measurement frameworks that improve engagement, retention, and customer lifetime value.

Location: London, England; hybrid working with 40% office-based attendance

Company

Global data and technology organisation serving markets including financial services, healthcare, automotive, agribusiness, and insurance.

What you will do

  • Own the Product Analytics strategy, roadmap, and delivery in alignment with product priorities, customer needs, and commercial objectives.
  • Partner with Product Managers, Designers, and Engineering teams throughout the product lifecycle.
  • Lead customer journey analytics across web and app experiences to identify behavioural trends, friction points, and growth opportunities.
  • Develop predictive models and analytical solutions for personalised experiences, including Next Best Action, recommendations, and intelligent decisioning.
  • Support product launches through customer analysis, experimentation, KPI frameworks, and post-launch performance evaluation.
  • Collaborate with Marketing, Data Science, Data Engineering, and Analytics teams on segmentation, behavioural insights, and scalable data solutions.

Requirements

  • Proven experience leading and developing high-performing Product Analytics, Digital Analytics, or Customer Analytics teams.
  • Strong experience partnering with Product leadership on strategy, prioritisation, and roadmap decisions.
  • Experience developing predictive models, propensity models, recommendation engines, or intelligent decisioning frameworks.
  • Expertise in behavioural analytics, customer journey analysis, experimentation, and A/B testing.
  • Advanced SQL skills and experience with large-scale customer, digital, and behavioural datasets.
  • Strong commercial acumen and experience establishing product performance frameworks, KPIs, and measurement strategies.

Nice to have

  • Experience in a direct-to-consumer digital, subscription, marketplace, or e-commerce business.
  • Experience with GA4, Amplitude, Mixpanel, Adobe Analytics, or similar platforms.

Culture & Benefits

  • Hybrid working model with 40% office-based attendance.
  • Permanent full-time employment with a compensation package and discretionary bonus plan.
  • Pension, Bupa healthcare, Sharesave scheme, and other core benefits.
  • 25 days of annual leave, 8 bank holidays, 3 volunteering days, and the option to purchase additional leave.
  • Inclusive, purpose-driven, people-first culture.

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