Leads Posh’s unified data and ML organization of eight across data science, machine learning, and analytics/data engineering. Owns discovery, ranking, recommendations, search, experimentation, causal inference, data infrastructure, AI-native analytics, and technical roadmap development. This player-coach role requires mentoring senior and mid-level talent, conducting hands-on model and experiment reviews, improving ML foundations, and translating product goals into measurable technical investments.