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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in defining and implementing customer data strategies, leading data science teams, and translating complex data into actionable business insights. Proficient in data governance, predictive modeling, and developing AI-driven product features to enhance customer engagement and monetization.
Highest-signal resume keywords
Data AnalysisData Science LeadershipPredictive ModelingKPI Framework DevelopmentA/B Testing
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisMachine LearningPredictive ModelingCustomer SegmentationChurn PredictionData GovernanceData ArchitectureBusiness Performance AnalyticsData Strategy ImplementationQuantitative Measurement
Soft Skills
Excellent CommunicationStakeholder ManagementProblem-SolvingCollaborationBusiness Acumen
Tools & Technologies
StatsigAI-Powered CapabilitiesData PipelinesData FoundationsDashboards
Industry Keywords
B2CB2B2CData MonetizationAudience ActivationDigital EnvironmentSubscription ModelMedia Environment
About the role
Key responsibilities & impact- Define and implement Cafeyn Group's Customer Data strategy aligned with business priorities and growth ambitions
- Represent Customer Data at Executive Committee level and translate strategic priorities into data initiatives and measurable outcomes
- Analyze customer behaviour, engagement, retention and monetization across B2C, B2B2C, B2B and CDS business models
- Provide dashboards, analyses and performance indicators for business teams
- Structure KPI frameworks and performance funnels across Marketing, Product, Content and Business
- Develop predictive capabilities, including churn prevention models
- Establish data governance policies and drive data literacy and data-driven culture
- Define Cafeyn's Customer Data monetization strategy and develop first-party data, audience insight and segmentation opportunities
- Lead a team of 2–3 Data Scientists developing and deploying AI-driven product features
- Define the Data Science roadmap and oversee AI-powered capabilities such as recommendations, daily digest and semantic search
- Own tooling and technical enablement for the A/B testing framework using Statsig
- Partner with Data Engineering on scalable, reliable and accessible data foundations, SLAs and access policies
- Lead and develop the Product Data and Data Science organization, including analysts, machine learning and data science specialists
- Recruit talent, establish priorities and foster collaboration across Data, Product, Engineering and Business teams
Requirements
What you’ll need- Significant experience in Data Analysis, Data Science, Machine Learning or a closely related data leadership role, ideally within 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 and managing multidisciplinary teams
- 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 of analytics at scale
- Experience with experimentation frameworks, A/B testing and quantitative measurement is a strong advantage
- AI knowledge and experience implementing AI strategies is a strong advantage but not a must-have
- Understanding of first-party data, audience activation and data monetization opportunities is highly desirable
- Strong business acumen and ability to identify commercial opportunities, challenge stakeholders and connect data initiatives to measurable business outcomes
- Excellent communication and stakeholder management skills
- Hands-on ability to challenge technical and analytical decisions, contribute to problem-solving and drive execution
Benefits
Comp & perks- Comprehensive health insurance coverage
- €350 gross well-being allowance paid every December
- Access to Teale mental health platform, including psychologist appointments and mental health monitoring
- Hybrid work policy: work remotely up to two days per week
- VIP access to Cafeyn with unlimited access to all platform content
- Four office meet-ups per year for international team events