Asks for

The ad says“Deep expertise in causal measurement, developing and applying advanced causal methodologies including RCTs, geo experimentation, synthetic controls, difference-in-differences, regression discontinuity, Bayesian approaches, and causal machine learning.”
The ad says“Deep expertise in causal measurement, developing and applying advanced causal methodologies including RCTs, geo experimentation, synthetic controls, difference-in-differences, regression discontinuity, Bayesian approaches, and causal machine learning.”
The ad says“Deep expertise in causal measurement, developing and applying advanced causal methodologies including RCTs, geo experimentation, synthetic controls, difference-in-differences, regression discontinuity, Bayesian approaches, and causal machine learning.”
The ad says“Deep expertise in causal measurement, developing and applying advanced causal methodologies including RCTs, geo experimentation, synthetic controls, difference-in-differences, regression discontinuity, Bayesian approaches, and causal machine learning.”
The ad says“Deep expertise in causal measurement, developing and applying advanced causal methodologies including RCTs, geo experimentation, synthetic controls, difference-in-differences, regression discontinuity, Bayesian approaches, and causal machine learning.”
The ad says“You are equally comfortable translating causal assumptions into graphical and structural framework such as Directed Acyclic Graphs (DAGs) and Structural Causal Models (SCMs) to inform research design, identify bias, and strengthen causal interpretation.”
The ad says“Deep expertise in causal measurement, developing and applying advanced causal methodologies including RCTs, geo experimentation, synthetic controls, difference-in-differences, regression discontinuity, Bayesian approaches, and causal machine learning.”
The ad says“Thought leader in measuring innovation, continuously advancing the application of causal AI, machine learning, experimental design, and emerging measurement methodologies to improve how the organization learns, predicts outcomes, and allocated resources.”
The ad says“Technical leader with strong scientific rigor, experienced developing, validating, and operationalizing causal frameworks that combine market tests, observational data, media experiments, Marketing Mix Models (MMM), forecasting systems and optimization models into trusted business recommendations.”
The ad says“Deep expertise in causal measurement, developing and applying advanced causal methodologies including RCTs, geo experimentation, synthetic controls, difference-in-differences, regression discontinuity, Bayesian approaches, and causal machine learning.”
The ad says“Deep expertise in causal measurement, developing and applying advanced causal methodologies including RCTs, geo experimentation, synthetic controls, difference-in-differences, regression discontinuity, Bayesian approaches, and causal machine learning.”
The ad says“You are equally comfortable translating causal assumptions into graphical and structural framework such as Directed Acyclic Graphs (DAGs) and Structural Causal Models (SCMs) to inform research design, identify bias, and strengthen causal interpretation.”
The ad says“Deep expertise in causal measurement, developing and applying advanced causal methodologies including RCTs, geo experimentation, synthetic controls, difference-in-differences, regression discontinuity, Bayesian approaches, and causal machine learning.”

The Director, Advanced Analytics sits at the forefront of AT&T's transformation into a truly evidence-driven organization. This role is responsible for uncovering the causal truth behind business performance, determining what actions create incremental impact, which investments drive growth, and where opportunities exist to accelerate customer and financial outcomes.

As the organization's leader in causal measurement and experimentation, the Director will pioneer the development of advanced causal models, experimentation frameworks, and analytical systems that uncover the true drivers of business performance. By integrating Marketing Mix Models (MMM), causal inference, experimentation, predictive analytics, and AI-enabled decision intelligence, this leader will establish the trusted source of causal truth for AT&T, revealing how media investments, offer strategies, sponsorships, and growth initiatives generate incremental business value and enabling leaders to make faster, smarter, and more confident investment decisions.

The Director owns the end-to-end measurement ecosystem, from defining strategic business questions and designing rigorous experiments to developing advanced analytical solutions, validating insights, and driving organizational adoption. Success requires challenging assumptions, uncovering hidden drivers of performance, and translating complex analytical findings into simple, decision-grade recommendations that influence strategy and investment decisions at the highest levels of the organization.

The ideal candidate is both a scientist and a strategist, equally comfortable designing sophisticated causal frameworks, applying advanced statistical and AI-driven methodologies, and influencing executive decisions. They are passionate about solving complex business problems, building stakeholder confidence in measurement outcomes, and creating a culture where decisions are driven by evidence, experimentation, and continuous learning.

This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted.

About the Marketing & Growth Organization

The Marketing & Growth Organization is AT&T’s marketing engine, responsible for driving sustainable growth by deeply understanding and championing our customers, captivating them with compelling products, services and experiences; and building a culturally relevant and beloved brand. We pride ourselves in continuously striving to embody expertise, simplicity and inspiration in everything we do.

Marketing Measurement and Optimization (MMO)

Do you want to use your analytics skills to help craft strategy at AT&T? Are you interested in developing the cutting edge of the Marketing Data Analytics industry?

The mission of the MMO team is to develop and implement a systematic approach to quantify the holistic drivers of demand to understand the opportunity costs of investment decisions. We measure the impact media, offers, and all other drivers has on sales, profitability, brand equity, and consumer behavior.

Key Responsibilities:

Establish AT&T’s Marketing Causal Truths

Develop AT&T’s causal measurement architecture by integrating causal inference, experimentation, advanced econometrics, MMM, and AI-enabled analytics into a unified intelligence platform
Build scalable causal models that quantify incremental impact, identify business drivers, and predict outcomes across media, offers, sponsorships, and growth initiatives
Embed causal evidence into forecasting, optimization, and investment planning to improve resource allocation and business performance
Advanced measurement science capabilities through the application of AI, machine learning, and next-generation causal modeling techniques

Scale Marketing Experimentation and Learning

Lead Marketing’s experimentation ecosystem, establishing governance, standards, and frameworks for incrementality measurement, causal validation, and Test & Learn programs
Design and oversee market-moving experiments including geo-test, holdouts, quasi-experimental methods, synthetic controls, and difference-in-differences to validate investment effectiveness
Develop experimentation roadmaps across media, AI-enabled search, sponsorships, targeting, influencers, messaging, and emerging growth channels
Continuously calibrate MMM and predictive models using causal evidence to improve forecast accuracy and investment recommendations
Accelerate organizational learning by transforming experimental results into repeatable business practices and scalable growth strategies

Transform Causal Evidence into Business Impact

Translate complex causal insights into decision-ready recommendations that optimize marketing investments and accelerate customer and financial growth
Influence strategic decisions through evidence-based storytelling, connecting measurement outcomes to business impact, investment tradeoffs, and growth opportunities
Build stakeholder confidence in measurement outcomes through rigorous validation, methodological transparency, and consistent delivery of trusted insights
Lead and develop and high-performing team of causal measurement experts, advancing capabilities in experimentation, causal models, AI-enabled analytics and marketing science
Establish causal measurement as a competitive advantage, enabling faster, smarter, and more confident business decisions

Requirements/Qualifications:

Deep expertise in causal measurement, developing and applying advanced causal methodologies including RCTs, geo experimentation, synthetic controls, difference-in-differences, regression discontinuity, Bayesian approaches, and causal machine learning.
You are equally comfortable translating causal assumptions into graphical and structural framework such as Directed Acyclic Graphs (DAGs) and Structural Causal Models (SCMs) to inform research design, identify bias, and strengthen causal interpretation.
Technical leader with strong scientific rigor, experienced developing, validating, and operationalizing causal frameworks that combine market tests, observational data, media experiments, Marketing Mix Models (MMM), forecasting systems and optimization models into trusted business recommendations.
Thought leader in measuring innovation, continuously advancing the application of causal AI, machine learning, experimental design, and emerging measurement methodologies to improve how the organization learns, predicts outcomes, and allocated resources.
Exceptional storyteller and executive influencers, translating complex analytical findings into compelling, decision-grade recommendations that drive action at the highest levels of the organization.
Builder of high-performing teams, fostering a culture of scientific curiosity, technical excellence, continuous learning, and measurable business impact while developing the next generation of measurement and analytics leaders.
Strategic partner and change agent, capable of influencing across highly matrixed organizations, aligning diverse stakeholders around evidence-based decisions, and building trust in measurement outcomes through methodological rigor and transparency.



Our Director-Advanced Analytics jobs earn between $210,600.00 - $316,000.00 USD Annual. Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.


Joining our team comes with amazing perks and benefits:

Medical/Dental/Vision coverage
401(k) plan
Tuition reimbursement program
Paid Parental Leave
Paid Caregiver Leave
Additional sick leave beyond what state and local law require may be available but is unprotected
Adoption Reimbursement
Disability Benefits (short term and long term)
Life and Accidental Death Insurance
Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
Employee Assistance Programs (EAP)
Extensive employee wellness programs
Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone
Long Term Grants and Deferred Compensation
Paid Time Off and Holidays (based on date of hire, at least 28 days of vacation each year and 9 company-designated holidays

Weekly Hours:

Time Type:

Regular

Location:

Dallas, Texas

Salary Range:

$210,600.00 - $316,000.00

AT&T and its subsidiaries are committed to equal employment opportunity. All hiring, promotion, and other employment decisions remain merit-based and free from discrimination on the basis of race, color, religion, religious creed, national origin, ancestry, age, sex, sexual orientation, gender, gender identity, gender expression, physical disability, mental disability, pregnancy, medical condition, genetic information, marital status, citizenship status, military status, veteran status, or any other characteristic protected by federal, state, or local laws. In addition, AT&T will provide reasonable accommodations to qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made. Click here to learn more or request an application accommodation here.