Director, Causal Analytics & Experimentation

att; Dallas (TX); On-site; USD 211,000 - 316,000; Full time

Benefits offered by this job

Medical/Dental/Vision coverage

401(k) plan

Tuition reimbursement program

Paid Parental Leave

Paid Caregiver Leave

Adoption Reimbursement

Disability Benefits

Life Insurance

Job summary

AT&T is seeking a Director of Advanced Analytics to lead causal measurement and experimentation, shaping how marketing decisions are made with rigorous, data-driven insights. You will own end-to-end measurement—from designing studies to delivering actionable recommendations that drive growth across channels.

The role combines scientific rigor with strategic influence, requiring hands-on development of advanced causal models and AI-enabled analytics, while guiding executives on resource

Qualifications

• Deep expertise in causal measurement and advanced methods like RCTs, geo experiments, synthetic controls, and Bayesian approaches.
• Ability to translate causal assumptions into research design using DAGs/SCMs.
• Strong technical leadership, integrating market tests, observational data, MMM, forecasting, and optimization.
• Push for innovative causal AI, experimentation design, and scalable analytics.
• Exceptional storytelling to drive executive decisions with evidence-based insights.

Responsibilities

• Define causal measurement architecture blending inference, experimentation, econometrics, MMM, and AI-enabled analytics.
• Build scalable causal models to quantify incremental impact across media, offers, sponsorships, and growth initiatives.
• Embed causal evidence into forecasting, optimization, and investment planning.
• Lead and scale Marketing's experimentation ecosystem with governance and Test & Learn programs.
• Translate insights into decision-ready recommendations for faster, smarter investments.

Skills

Causal measurement

Experimentation

MMM

AI analytics

Forecasting

Tools

R

Python

SQL

SAS

Job description

AT&T is seeking a Director of Advanced Analytics to lead causal measurement and experimentation, shaping how marketing decisions are made with rigorous, data-driven insights. You will own end-to-end measurement—from designing studies to delivering actionable recommendations that drive growth across channels.

The role combines scientific rigor with strategic influence, requiring hands-on development of advanced causal models and AI-enabled analytics, while guiding executives on resource