Define Product Vision & Strategy: Own the end-to-end roadmap for the AI/ML pod, focusing on predictive recommendation systems, affinity modeling, and Generative AI applications.
Lead the AI Revolution: Identify and implement ML and GenAI use cases that streamline the marketing workflow—from automated copy generation to AI-assisted journey building.
Scale Recommendation Engines: Drive the strategy for our 1:1 personalization engine, ensuring it can handle trillions of data points to deliver real-time, relevant product and content recommendations.
Collaborate with Data Science: Partner with the DS team to translate complex models (XGBoost, Reinforcement Learning, LLMs) into intuitive product features that non-technical marketers can use.
Data-Driven Decision Making: Live and breathe metrics. Define and monitor KPIs for recommendation accuracy, conversion uplift, and AI-driven efficiency.