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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 developing predictive capabilities for customer engagement and retention. Proficient in data governance, KPI frameworks, and translating complex data into actionable business insights.
Highest-signal resume keywords
Data AnalysisData Science LeadershipMachine LearningPredictive ModellingKPI Frameworks
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 AnalysisData ScienceMachine LearningPredictive ModellingCustomer SegmentationChurn PredictionData GovernanceData ArchitectureA/B TestingQuantitative Measurement
Soft Skills
CommunicationStakeholder ManagementProblem-SolvingBusiness AcumenExecution
Tools & Technologies
StatsigData PipelinesData PlatformsAI Strategies
Industry Keywords
Customer Data StrategyB2CB2B2CData MonetizationAudience ActivationData-Driven CultureDigital 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 priorities into actionable initiatives and measurable outcomes
- Analyze customer behaviour, engagement, retention and monetization across B2C, B2B2C, B2B and CDS business models
- Provide reliable dashboards, analyses and performance indicators to business teams
- Structure KPI frameworks and performance funnels across Marketing, Product, Content and Business
- Develop predictive capabilities, particularly churn prevention models
- Establish data governance policies and foster data literacy and a data-driven culture
- Define Customer Data monetization strategy and identify first-party data, audience insight and segmentation opportunities
- Build foundations for audience activation, including identity resolution, tagging, segmentation and measurement
- Lead Data Science capability and manage 2–3 Data Scientists
- Define Data Science roadmap and oversee AI-powered product features including recommendations, automated daily digest and semantic search
- Own tooling and technical enablement for Cafeyn's A/B testing framework using Statsig
- Partner with Product teams to measure AI innovation impact
- Collaborate with Data Engineering on data platform architecture, reliability, accessibility, performance, SLAs and access policies
- Lead and develop the Product Data and Data Science organization, including Senior Data Analysts, Machine Learning and Data Science specialists
- Establish priorities, ownership, delivery processes and performance expectations
- Recruit talent and foster technical excellence, experimentation and continuous improvement
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
- 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 mindset with ability to challenge technical and analytical decisions, contribute to problem-solving and drive execution
Benefits
Comp & perks- Swile card for meal vouchers
- Sidecare health insurance
- Mobility package reimbursing transport subscription
- Wellpass access to fitness classes and wellness activities
- Access to teale mental health platform, including psychologist appointments and mental health monitoring
- Hybrid work policy allowing remote work two days per week
- VIP Cafeyn code with unlimited access to platform content
- Four office meet-ups per year with international offices