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 #J-18808-Ljbffr