Teams at Consumer Edge

Lead the technical direction for audience data products and build high-volume pipelines for audience creation, partner data onboarding, identity mapping, and external data delivery. Mentor engineers, oversee design reviews and build-versus-buy decisions, and develop AI-enabled engineering tooling with appropriate guardrails. Collaborate with data science, product, engineering, and external partners.

Lead the technical direction for identity and audience data systems. Design identity models, partner mappings, high-volume production pipelines, privacy controls, data quality frameworks, monitoring, and anomaly detection. Collaborate with data science, product, legal, security, and engineering teams while mentoring engineers and leading design reviews. Develop AI-enabled engineering tools and guardrails, and ensure reliable, auditable data products at scale.

Leads sales attribution and incrementality measurement for advertising campaigns using transaction data. Develops causal measurement methodologies, productizes client reporting, advises senior brand and agency clients, sets measurement standards, partners with Product and Engineering on automated pipelines, and grows the measurement team. Requires deep advertising analytics, purchase-based measurement, causal inference, SQL, Python or R, and familiarity with retail media, DSPs, clean rooms, and campaign exposure data.