Descrizione:
Overview
In this role you drive data-driven decision making within the Global Consumer Experience function. You lead AI-powered analytics to optimise channel performance and consumer experiences, translating data from martech tools into actionable insights. You supervise analytical capabilities, manage models and experiments, and partner with data platforms to unlock new analytical possibilities. You will craft compelling narratives for senior stakeholders and shape growth strategies through rigorous, scalable analytics.
Key Responsibilities
Lead recurring and ad-hoc analyses on consumer behavior, funnel performance, channel efficiency, journey opportunities, market trends, and competitive benchmarks
Coordinate development and maintenance of advanced models (e.g., churn, LTV, propensity scoring, recommendations) using AI/ML techniques
Develop and implement experimentation frameworks (A/B and multivariate) with activation teams
Scout and evaluate emerging analytics tools with_AI capabilities and translate into scalable use cases
Synthesize findings into presentations and recommendations for senior leadership and marketing peers
Identify growth levers and risks through exploratory analysis affecting customer journey and channel insights
Support strategic planning with data-backed scenarios and forecasts
Collaborate with the Data Product Manager on prioritization and productization of analytical features, including AI capabilities
Work with Data Platform Manager on data improvements via DBS and D&A to enable new analytics (enriched event data, cross-device IDs, ML-ready pipelines)
Integrate insights into campaigns, lead analytical governance, and build team capability and self-service guidelines
Serve as go-to expert for growth questions, balancing depth of analysis with speed for quick-win and long-term studies
Translate complex findings into actionable, non-technical narratives for executives and marketing stakeholders
Qualifications
8+ years in data analytics, BI, data science, or intelligence leadership
3–5+ years in a management role
Proven ability to translate analytics into growth impact in consumer-facing settings
Extensive experience with growth/marketing analytics (attribution, cohort analysis, journey mapping, personalization, channel analysis)
Strong ability to enable evidence-based decisions and foster analytical rigour, experimentation, and learning
Experience leading experimentation programs and influencing business decisions
Experience in matrixed organizations with centralized data infrastructure and martech stacks
Hands‑on analytics experience plus people leadership
Global exposure across diverse markets and regulatory environments in consumer‑facing industries
Expertise in statistical analysis, hypothesis testing, predictive modelling, and tools/languages (advanced SQL, Python/R)
Experience with experimentation platforms, causal inference, data visualization (Power BI), and communicating insights to executives
Knowledge of data flows, martech ecosystems, and growth data concepts (multi‑touch attribution, incrementality, RFM); awareness of data privacy; graduate degree
Benefits
annual performance bonus
health plans
work-life balance initiatives
transportation support
flexible holiday plan
meal vouchers
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