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4 дня назад

Director of Customer Data & Data Science (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Director of Customer Data & Data Science (AI): Defining customer data strategy, leading data science, and developing AI-powered digital content products with an accent on business performance, data monetization, predictive modelling, and scalable data foundations. Focus on building high-performing multidisciplinary teams, deploying personalization and recommendation capabilities, and establishing reliable experimentation and governance frameworks.

Location: Berlin, Germany; hybrid policy with remote work allowed up to two days per week and four office meet-ups per year.

Company

hirify.global Group is a European digital content platform operating across 15 markets with 2.5 million users and more than 5,200 publications from 1,100 partner publishers.

What you will do

  • Define and implement the Group's Customer Data strategy, translating executive priorities into measurable business outcomes across B2C, B2B2C, B2B and CDS business models.
  • Build KPI frameworks, dashboards, performance funnels and predictive capabilities covering acquisition, engagement, conversion, retention and revenue, including churn prevention models.
  • Define the customer data monetization strategy, developing first-party data, audience activation, segmentation, identity resolution and measurement foundations for advertising and B2B offerings.
  • Lead Data Science and AI-powered product innovation, including personalized recommendations, automated daily digest, semantic search and future content discovery features.
  • Own the technical enablement of the Statsig A/B testing framework and establish reliable measurement of AI and product impact.
  • Partner with Data Engineering on data quality, accessibility, governance, architecture, SLAs, storage and scalable infrastructure while leading and developing Product Data and Data Science 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 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 operational requirements for analytics at scale.
  • Strong business acumen, including identifying commercial opportunities, challenging stakeholders and connecting data initiatives to measurable outcomes.
  • Excellent communication and stakeholder management skills across executive leadership, technical teams and operational stakeholders.
  • 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.
  • AI knowledge and experience implementing AI strategies.
  • Understanding of first-party data, audience activation and data monetization opportunities.

Culture & Benefits

  • Hybrid work with remote work available up to two days per week.
  • Comprehensive health insurance.
  • €350 gross well-being allowance paid every December.
  • Access to Teale mental health support and appointments with psychologists.
  • VIP access to hirify.global content and four office meet-ups per year with international teams.

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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