Director – Advanced Analytics

AT&T

. Establish AT&T’s marketing causal truths .

Posted 9/17/2026full-timeDallas • Texas • United StatesLead💰 $210,600 - $316,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates deep expertise in causal measurement methodologies and advanced analytics, with a focus on translating causal insights into strategic marketing decisions. Proven ability to lead high-performing teams and influence stakeholders through evidence-based storytelling and rigorous validation.

Highest-signal resume keywords

Causal Measurement ExpertiseAdvanced EconometricsMachine LearningExperimental DesignMarketing Mix Models (MMM)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Causal InferenceRandomized Controlled Trials (RCTs)Geo ExperimentationSynthetic ControlsDifference-in-DifferencesBayesian ApproachesCausal Machine LearningForecasting SystemsOptimization ModelsDirected Acyclic Graphs (DAGs)

Soft Skills

StorytellingExecutive InfluencingTeam DevelopmentStakeholder AlignmentTrust Building

Industry Keywords

Causal MeasurementIncremental ImpactAI-Enabled AnalyticsExperimental EcosystemBusiness Drivers

About the role

Key responsibilities & impact

Establish AT&T’s marketing causal truths
Develop causal measurement architecture integrating causal inference, experimentation, advanced econometrics, MMM, and AI-enabled analytics
Build scalable causal models quantifying incremental impact, identifying business drivers, and predicting outcomes across media, offers, sponsorships, and growth initiatives
Embed causal evidence into forecasting, optimization, and investment planning
Apply AI, machine learning, and next-generation causal modeling techniques
Lead Marketing’s experimentation ecosystem, including governance, standards, and incrementality frameworks
Design and oversee geo-tests, holdouts, quasi-experimental methods, synthetic controls, and difference-in-differences experiments
Develop experimentation roadmaps across media, AI-enabled search, sponsorships, targeting, influencers, messaging, and emerging growth channels
Calibrate MMM and predictive models using causal evidence
Transform experimental results into repeatable business practices and scalable growth strategies
Translate causal insights into recommendations optimizing marketing investments and accelerating customer and financial growth
Influence strategic decisions through evidence-based storytelling
Build stakeholder confidence through rigorous validation and methodological transparency
Lead and develop a high-performing team of causal measurement experts
Establish causal measurement as a competitive advantage for faster, smarter business decisions

Requirements

What you’ll need

Deep expertise in causal measurement and advanced causal methodologies, including RCTs, geo experimentation, synthetic controls, difference-in-differences, regression discontinuity, Bayesian approaches, and causal machine learning
Experience translating causal assumptions into graphical and structural frameworks such as Directed Acyclic Graphs (DAGs) and Structural Causal Models (SCMs)
Strong scientific rigor and experience developing, validating, and operationalizing causal frameworks combining market tests, observational data, media experiments, Marketing Mix Models (MMM), forecasting systems, and optimization models
Expertise in causal AI, machine learning, experimental design, and emerging measurement methodologies
Exceptional storytelling and executive influencing skills, translating complex analytical findings into decision-grade recommendations
Experience building high-performing teams and developing analytics leaders
Ability to influence across highly matrixed organizations and align stakeholders around evidence-based decisions
Ability to build trust through methodological rigor and transparency
Must work in the posted location, with office presence a minimum of 5 days per week

Benefits

Comp & perks

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)