Director of Customer Data & Data Science (AI)

Location: Paris, France; hybrid policy with remote work allowed two days per week

Company

hirify.global is a digital reading platform providing personalized access to newspapers and magazines through hirify.global, Milibris, Kidjo and Readly.

What you will do

• Define and implement the Group Customer Data strategy, translating executive priorities into measurable data initiatives and business outcomes.
• Lead customer analytics, KPI frameworks, dashboards, performance funnels, predictive churn modelling and data-driven retention initiatives across B2C, B2B2C, B2B and CDS business models.
• Develop the customer data monetization strategy, including first-party data, audience insights, segmentation, identity resolution, audience activation and advertising or B2B opportunities.
• Lead Data Science teams developing AI-powered product capabilities such as personalized recommendations, automated daily digest, semantic search and future content discovery features.
• Own the tooling and technical enablement of the Statsig A/B testing framework while partnering with Product teams on testing strategy, prioritization and quantitative measurement.
• Partner with Data Engineering on data architecture, reliability, governance, accessibility, storage, scalability, service-level agreements 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.
• 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, with the ability to identify commercial opportunities, challenge stakeholders and connect 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.
• 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 permitted two days per week.
• Meal vouchers through Swile, Sidecare health insurance and a mobility package for transport subscriptions.
• Wellpass access to fitness and wellness activities.
• Access to the teale mental health platform.
• VIP access to hirify.global content and four office meet-ups per year with international offices.
• Inclusive culture focused on talent, diversity and collaboration.

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 final interview.