Pay
Higher than most similar jobs
$211K–$316K against $154K–$225K, the middle half of what similar US postings state.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Dallas, Texas
Live, first seen by us 83 days agoSalary 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.Read the full posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Build scalable causal models that quantify incremental impact across media, offers and sponsorships
Design and oversee geo-tests, holdouts and quasi-experiments to validate marketing investment effectiveness
Govern experimentation standards and Test & Learn programs across Marketing
Continuously calibrate MMM and predictive models using causal evidence
Translate causal findings into decision-ready recommendations for senior leaders
Build scalable causal models that quantify incremental impact, identify business drivers, and predict outcomes across media, offers, sponsorships, and growth initiatives
Design and oversee market-moving experiments including geo-test, holdouts, quasi-experimental methods, synthetic controls, and difference-in-differences to validate investment effectiveness
establishing governance, standards, and frameworks for incrementality measurement, causal validation, and Test & Learn programs
Continuously calibrate MMM and predictive models using causal evidence to improve forecast accuracy and investment recommendations
Translate complex causal insights into decision-ready recommendations that optimize marketing investments and accelerate customer and financial growth
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.
In the employer’s words · Read in context
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Higher than most similar jobs
$211K–$316K against $154K–$225K, the middle half of what similar US postings state.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Day 83
Up longer than most. Similar jobs usually come down between day 7 and day 54.
Well past At&T’s usual: its jobs come down by about day 6.
From 7,965 similar postings that came down, and 43 of At&T’s. Coming down is not always a hire.
10 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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Yes. We’ve followed one other Director-Advanced Analytics job there since September 2026. It came down after 13 days.
New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
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.
Joining our team comes with amazing perks and benefits:
Weekly Hours:
40Time Type:
RegularLocation:
Dallas, TexasSalary Range:
$210,600.00 - $316,000.00AT&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.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
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.
Dallas, Texas
Working pattern and location restrictions need checking in the full posting.
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.