aidata sciencemachine learninga b testingdata governancepredictive modelingstatsigdata monetizationcustomer data
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль дает возможность влиять на стратегию данных и AI на уровне руководства, а цели на первый год четко обозначены. При этом широкий круг задач и ожидание личного участия могут означать высокую нагрузку.
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Понятные цели
AI в продукте
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Director of Customer Data & Data Science (AI): Defining Cafeyn Group's customer data strategy and leading data science, AI-powered product innovation, experimentation, and scalable data foundations with an accent on customer analytics, data monetization, predictive modelling, and personalized content experiences. Focus on building high-performing multidisciplinary teams, deploying churn prediction and recommendation capabilities, enabling reliable A/B testing, and translating data initiatives into measurable business and revenue outcomes.
Location: London, United Kingdom; hybrid policy with remote work available up to two days per week.
Company
hirify.global Group provides digital content experiences through subscription platforms serving 2.5 million users across 15 markets, with access to more than 5,200 publications.
What you will do
Define and lead the Group's Customer Data strategy, representing Customer Data at Executive Committee level and connecting initiatives to measurable business outcomes.
Develop customer behaviour, engagement, retention, monetization, KPI, dashboard, funnel, and performance analytics across B2C, B2B2C, B2B, and CDS business models.
Lead data monetization initiatives involving first-party data, audience insights, identity resolution, tagging, segmentation, measurement, advertising, and B2B commercial offerings.
Lead Data Science and AI-powered product innovation, including personalized recommendations, automated daily digest, semantic search, content discovery, churn prediction, and experimentation.
Own the technical enablement of the Statsig A/B testing framework and partner with Product teams on reliable experiments and quantitative measurement.
Partner with Data Engineering on data architecture, availability, reliability, governance, SLAs, access policies, storage, scalability, and production-grade AI foundations; build and develop multidisciplinary data teams.
Requirements
Significant experience in Data Analysis, Data Science, Machine Learning, or a closely related data leadership role, ideally in a digital, technology, subscription, or media environment.
Strong understanding of business performance analytics, customer behaviour, KPI frameworks, and translating complex data into actionable business recommendations.
Proven experience leading Data Analysis and/or Data Science teams, managing multidisciplinary teams, and developing their capabilities.
Strong understanding of machine learning and predictive modelling, including customer segmentation, churn prediction, personalization, or recommendation systems.
Demonstrated experience defining and implementing data strategies or data-driven transformation initiatives.
Solid understanding of data architecture, data pipelines, governance, and the operational requirements of analytics at scale.
Strong business acumen, commercial awareness, stakeholder management, and communication skills across executive, technical, and operational audiences.
Hands-on mindset with the ability to challenge technical and analytical decisions, contribute to problem-solving, and drive execution.
Nice to have
Experience with experimentation frameworks, A/B testing, and quantitative measurement.
Knowledge of AI and experience implementing AI strategies.
Understanding of first-party data, audience activation, and data monetization opportunities.
Culture & Benefits
Hybrid work policy with remote work available up to two days per week.
Employer pension contribution of 5%, with a 4% employee contribution.
26 days of paid holiday plus one additional day off on your birthday.
Access to Teale mental health support and unlimited hirify.global content access.
Four office meet-ups per year with international teams; inclusive and diversity-focused culture.
Hiring process
HR interview with a Talent Acquisition Manager.
Hiring manager interview with the Chief Strategy Officer, followed by a case study.
Peer interview with the team and a final interview.
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