About the company
The World's Leading Cryptocurrency Platform
Job Summary
Responsibilities
šLeadership & Strategy šDefine and own the marketing intelligence roadmap. šBuild and lead a high-performing team of analysts, engineers, and data scientists. šPartner with Growth, Data, Finance and Product Marketing leadership to enable data-driven decisions. šMeasurement & Modelling šLead the design and deployment of multi-touch attribution (MTA) and probabilistic attribution approaches. šChampion marketing mix modelling (MMM) to measure cross-channel ROI and incrementality. šAdvance predictive analytics for LTV, churn, and customer journey optimisation, leveraging AI-powered models for greater accuracy. šAI, GenAI & Automation šDeploy AI and machine learning models for anomaly detection, predictive spend optimization, and customer segmentation. šIntroduce Generative AI (GenAI) solutions for: Automated campaign insights (āexplain spend efficiency by channel in natural languageā). šDynamic customer journey clustering to identify emerging cohorts. šGenerating personalized marketing narratives and creative testing at scale. šBuild a culture of automation where insights flow seamlessly into marketing strategy and execution. šData Infrastructure & Governance šOversee marketing data pipelines and modelling powered by AppsFlyer, Databricks, Google Marketing Platform, and Google BigQuery. šEnsure strong data governance, quality, and compliance with GDPR, CCPA, ATT, and other privacy regulations. šReporting & Insights šDevelop and maintain high-impact dashboards in Tableau. šDeliver regular insights that guide marketing investment and strategy, supported by automated reporting and GenAI-driven summaries for executives. šAct as the bridge between advanced AI/ML outputs and marketing strategy, ensuring models directly influence spend and creativity.
Requirements
šProven operational track record in analytics and data science, with extensive experience in marketing measurement. šExpertise in Attribution modelling (deterministic, probabilistic, MTA) Marketing mix modelling (MMM) AI / ML applications in marketing analytics šGenerative AI solutions for insights automation and customer growth strategies. AppsFlyer, Databricks, Google Marketing Platform, AWS & Google BigQuerySQL and Tableau šStrong background in data governance, compliance, and privacy frameworks. šExcellent communicator able to simplify complex analytics and AI-driven insights into clear business recommendations. šExperience in fast-growth industries such as mobile apps, gaming, fintech, or subscription models preferred.
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