Responsibilities

📍Leadership & Strategy 📍Define and own the marketing intelligence roadmap. 📍Build and lead a high-performing team of analysts, engineers, and data scientists. 📍Partner with Growth, Data, Finance and Product Marketing leadership to enable data-driven decisions. 📍Measurement & Modelling 📍Lead the design and deployment of multi-touch attribution (MTA) and probabilistic attribution approaches. 📍Champion marketing mix modelling (MMM) to measure cross-channel ROI and incrementality. 📍Advance predictive analytics for LTV, churn, and customer journey optimisation, leveraging AI-powered models for greater accuracy. 📍AI, GenAI & Automation 📍Deploy AI and machine learning models for anomaly detection, predictive spend optimization, and customer segmentation. 📍Introduce Generative AI (GenAI) solutions for: Automated campaign insights (“explain spend efficiency by channel in natural language”). 📍Dynamic customer journey clustering to identify emerging cohorts. 📍Generating personalized marketing narratives and creative testing at scale. 📍Build a culture of automation where insights flow seamlessly into marketing strategy and execution. 📍Data Infrastructure & Governance 📍Oversee marketing data pipelines and modelling powered by AppsFlyer, Databricks, Google Marketing Platform, and Google BigQuery. 📍Ensure strong data governance, quality, and compliance with GDPR, CCPA, ATT, and other privacy regulations. 📍Reporting & Insights 📍Develop and maintain high-impact dashboards in Tableau. 📍Deliver regular insights that guide marketing investment and strategy, supported by automated reporting and GenAI-driven summaries for executives. 📍Act as the bridge between advanced AI/ML outputs and marketing strategy, ensuring models directly influence spend and creativity.

Requirements

📍Proven operational track record in analytics and data science, with extensive experience in marketing measurement. 📍Expertise in Attribution modelling (deterministic, probabilistic, MTA) 📍Marketing mix modelling (MMM) AI / ML applications in marketing analytics 📍Generative AI solutions for insights automation and customer growth strategies. AppsFlyer, Databricks, Google Marketing Platform, AWS & Google BigQuerySQL and Tableau 📍Strong background in data governance, compliance, and privacy frameworks. 📍Excellent communicator able to simplify complex analytics and AI-driven insights into clear business recommendations. 📍Experience in fast-growth industries such as mobile apps, gaming, fintech, or subscription models preferred.

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