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AT&T

Runs US wireless and fiber internet networks

Director, Advanced Analytics

Data ScienceConfirmed live in the last 24 hours
Full-timeDallas, TX, USA

About the Job

Requirements

  • Deep expertise in causal measurement, including developing and applying causal methodologies such as randomized controlled trials, geo experimentation, synthetic controls, difference-in-differences, regression discontinuity, Bayesian approaches, and causal machine learning.
  • Translate causal assumptions into graphical and structural frameworks such as Directed Acyclic Graphs and Structural Causal Models to inform research design, identify bias, and strengthen causal interpretation.
  • Develop, validate, and operationalize causal frameworks combining market tests, observational data, media experiments, Marketing Mix Models, forecasting systems, and optimization models into trusted business recommendations.
  • Advance the application of causal artificial intelligence, machine learning, experimental design, and emerging measurement methodologies to improve organizational learning, outcome prediction, and resource allocation.
  • Translate complex analytical findings into compelling, decision-grade recommendations that drive action at the highest organizational levels.
  • Build high-performing teams and foster scientific curiosity, technical excellence, continuous learning, and measurable business impact while developing future measurement and analytics leaders.
  • Influence across highly matrixed organizations, align diverse stakeholders around evidence-based decisions, and build trust in measurement outcomes through methodological rigor and transparency.

Responsibilities

  • Develop AT&T’s causal measurement architecture by integrating causal inference, experimentation, advanced econometrics, Marketing Mix Models, and artificial-intelligence-enabled analytics into a unified intelligence platform.
  • Build scalable causal models to 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.
  • Advance measurement science capabilities through artificial intelligence, machine learning, and next-generation causal modeling techniques.
  • Lead Marketing’s experimentation ecosystem by establishing governance, standards, and frameworks for incrementality measurement, causal validation, and Test & Learn programs.
  • Design and oversee experiments, including geo-tests, holdouts, quasi-experimental methods, synthetic controls, and difference-in-differences, to validate investment effectiveness.
  • Develop experimentation roadmaps across media, artificial-intelligence-enabled search, sponsorships, targeting, influencers, messaging, and emerging growth channels.
  • Continuously calibrate Marketing Mix Models and predictive models using causal evidence to improve forecast accuracy and investment recommendations.
  • Transform experimental results into repeatable business practices and scalable growth strategies.
  • 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 that connects 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 a high-performing team of causal measurement experts, advancing capabilities in experimentation, causal models, artificial-intelligence-enabled analytics, and marketing science.
  • Establish causal measurement as a competitive advantage to enable faster, more confident business decisions.

About the Company

AT&T

Runs US wireless and fiber internet networks

AT&T sells mobile phone plans and home internet to households and businesses across the US, and runs a wireless business in Mexico. Its business rests on two networks: a nationwide 5G wireless network and a fiber internet network that is replacing its old copper phone lines. Companies and government agencies also buy private networks, security and connectivity services from its business unit. Most revenue comes from monthly service plans plus device installment payments, and the company pushes customers to combine phone and home internet. AT&T Inc. began in 1983 as Southwestern Bell, took the AT&T name after buying its former parent in 2005, and is based in Dallas, Texas.

Company size
10,001+
Company stage
IPO
Headquarters
Dallas, TX
Founded
1983

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