4 дня назад
Head of Product Analytics - Modelling (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →