Director-Advanced Analytics
Core
Lead AT&T's transformation into an evidence-driven organization by pioneering causal measurement, experimentation frameworks, and advanced analytics to uncover true drivers of business performance and incremental impact.
Role type
Director, Advanced Analytics (Strategy & Technical Leadership)
Builds
Unified causal intelligence platform integrating MMM, causal inference, experimentation, and AI-enabled decision intelligence for marketing and growth.
Domain
Telecommunications / Marketing Science / Causal Inference
Deliverable
production ML models | dashboards & analysis | client delivery
Required skills
Causal inference, Marketing Mix Models (MMM), experimental design (RCTs, geo-tests, synthetic controls), Bayesian approaches, structural causal modeling (DAGs/SCMs), AI-enabled analytics, executive storytelling, team leadership
Preferred skills
Advanced econometrics, difference-in-differences, regression discontinuity, causal machine learning, change management
Technologies
RCTs, geo experimentation, synthetic controls, difference-in-differences, Bayesian methods, DAGs, SCMs, MMM, AI/ML frameworks
Responsibilities
Develop causal measurement architecture and scalable models; lead experimentation ecosystem and governance; translate complex insights into decision-ready recommendations; influence strategic investment decisions; build and develop high-performing teams of measurement experts.
Seniority
Director, strategic leadership with hands-on technical expertise
