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Readly was built on a simple but powerful idea: that curious people should never have to choose between the publications they love and the ones they haven't discovered yet. One subscription. Thousands of titles. Journalism, culture, lifestyle, science, sport, and ideas from around the world, available on any screen, at any moment.

Readly is now part of Cafeyn Group. With the acquisition of Readly's non-Nordic operations, Cafeyn further strengthens its position as the European leader in access to information – combining scale, technology, and deep local market expertise.

Together, the Group now operates across 15 markets, serves 2.5 million users, and provides access to more than 5,200 publications from 1,100 partner publishers.

To empower individuals with access to trusted, high-quality content that fosters personal growth and discovery. Whether it's through the comprehensive collection of news and features on Cafeyn & Readly, the digital publishing solutions of Milibris, the fun and educative content for children on Kidjo, or the collections for manga lovers by Mangas.io, Cafeyn Group stands at the forefront of digital content experiences.

If you're passionate about building strategic partnerships, driving commercial growth and shaping the future of digital media, we'd love to meet you.

As Cafeyn continues to grow, the Group is accelerating its transformation towards a truly data-driven organization, leveraging Customer Data and Artificial Intelligence to improve business performance, enhance product innovation and develop new revenue streams.

As Director of Customer Data & Data Science, you will define and lead Cafeyn Group's Customer Data strategy, transforming data into a strategic asset that drives business decisions, product development and revenue growth.

Reporting into the Group's leadership structure, you will act as the primary ambassador for Customer Data, working closely with the Executive Committee, Marketing, Product, Content, Business and Technology teams.

Your mandate will be twofold: maximize the business value of customer data and accelerate the development of AI-powered products.

Beyond delivering insights and tools, you will challenge existing business practices, identify opportunities for improvement and ensure that data becomes a driver of strategic decision-making rather than simply a reporting function.

You will lead the restructured Data Analysis and Data Science teams, establish the foundations for scalable Data adoption, and work closely with Data Engineering to ensure the reliability, accessibility and performance of Cafeyn's data infrastructure.

Your responsibilities

1. Define the Customer Data strategy and drive business performance

Define and implement Cafeyn Group's Customer Data strategy, aligned with the Group's overall business priorities and growth ambitions.

Act as the primary representative of Customer Data at Executive Committee level, translating strategic priorities into actionable data initiatives and measurable business outcomes.

Develop a comprehensive understanding of customer behaviour, engagement, retention and monetization across Cafeyn's B2C, B2B2C, B2B and CDS business models.

Ensure that business teams have access to reliable, relevant and actionable dashboards, analyses and performance indicators to identify challenges, understand underlying trends and improve business performance.

Structure KPI frameworks and performance funnels across Marketing, Product, Content and Business, identifying opportunities to optimize acquisition, engagement, conversion, retention and revenue.

Develop predictive capabilities, particularly churn prevention models, to anticipate customer behaviour and enable proactive retention strategies.

Challenge business stakeholders constructively, moving beyond a traditional internal service-provider relationship to become a strategic business partner who questions assumptions and helps identify new opportunities.

Establish robust data governance policies, ensuring data quality, integrity, accessibility and consistent usage across the organization.

Drive data literacy and foster a data-driven culture, empowering teams to incorporate data into their day-to-day decisions.

2. Develop the data monetization strategy

Define Cafeyn's Customer Data monetization strategy, supporting the diversification of the Group's revenue streams.

Identify opportunities to create value from first-party data, audience insights and customer segmentation, particularly in relation to advertising and B2B commercial offerings.

Build the data foundations required for effective audience activation, including identity resolution, tagging, segmentation and measurement.

Work closely with Marketing, Sales, Business and Content teams to translate customer insights into new commercial opportunities and scalable revenue-generating initiatives.

Assess the potential of data products and services, ensuring that monetization initiatives are commercially relevant, technically feasible and aligned with applicable privacy and regulatory requirements.

3. Lead Data Science, AI-powered product innovation and experimentation

Lead Cafeyn's Data Science capability, managing a team of 2–3 Data Scientists responsible for developing and deploying AI-driven product features.

Define the Data Science roadmap in close collaboration with Product and Technology leadership, ensuring that initiatives address meaningful customer needs and deliver measurable value.

Establish the processes, methodologies and operating conditions required to accelerate the delivery, deployment and continuous improvement of Data Science developments.

Oversee the evolution of AI-powered product capabilities, including personalized recommendations, the automated daily digest feature, semantic search and future content discovery innovations.

Ensure that Data Science initiatives are prioritized according to their expected impact, feasibility and alignment with Cafeyn's product strategy.

Drive the transition from experimentation to production, improving delivery predictability, model performance and the operational impact of AI-powered features.