Stand out for this role — generate a tailored resume and cover letter in about a minute.
AT&T is seeking a Director of People and Decision Science in Dallas, TX to lead a team of data scientists applying economics, statistics, and experimentation to workforce decisions. You will translate complex analyses into practical recommendations for senior HR and business leaders, advancing rigorous, responsible AI practices.
The role focuses on causal inference, predictive modeling, experimental design, and optimization to inform leadership and talent investments.
This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No Relocation offered.
The Director of People and Decision Science leads the application of economics, statistics, data science, and experimentation to complex workforce decisions. This leader will build and manage a small team of data scientists while serving as the organization’s senior technical expert in workforce decision science.
What is the causal impact of manager quality on productivity, engagement, and attrition?
Which skills are becoming more valuable?
How can we determine whether leadership development programs are producing their intended outcomes?
The ideal candidate combines the quantitative rigor of an economist or decision scientist with the ability to translate sophisticated analyses into practical recommendations for senior business and HR leaders.
Build the decision science capability: Establish the methods, standards, tools, and research agenda for applying advanced quantitative techniques to workforce decisions.
Apply causal inference and econometrics: Distinguish correlation from causation and quantify the effects of workforce programs, policies, leadership practices, organizational changes, and talent investments.
Develop predictive and prescriptive models: Build models that anticipate workforce outcomes and identify actions leaders can take to improve them.
Design experiments and quasi-experiments: Establish rigorous approaches for testing workforce interventions and measuring their impact.
Apply economics to workforce decisions: Analyze labor supply and demand, incentives, compensation, mobility, productivity, talent allocation, skills, and other workforce dynamics through an economic lens.
Develop optimization and scenario models: Help leaders evaluate trade-offs involving cost, talent, productivity, employee outcomes, and business performance.
Lead a team of data scientists: Set technical direction, provide methodological coaching, prioritize work, and establish quality standards.
Partner with Workforce Intelligence colleagues: Translate enterprise workforce questions into analytical approaches and incorporate findings into broader workforce intelligence products.
Communicate complex findings clearly: Convert technical analyses into clear conclusions, implications, uncertainty ranges, and actionable recommendations for executive audiences.
Advance analytical rigor and responsible AI: Establish standards for model validity, explainability, bias testing, reproducibility, and the responsible use of employee data.
Designs and executes strategies that support the organization’s overarching objectives. Oversees departmental programs and takes a hands‑on role in designing and implementing relevant strategies. Influences and makes decisions involving the hiring, termination, discipline, promotion, and compensation of direct reports.
Supervisory responsibility: Yes
10+ years of experience. Master’s or doctoral degree in economics, econometrics, statistics, operations research, decision science, quantitative social science, or a closely related field.
Deep expertise in several of the following areas: causal inference, econometrics, experimental design, statistical modeling, machine learning, optimization, forecasting, or behavioral economics.
Experience leading data scientists, economists, or quantitative researchers.
Demonstrated ability to work with large, complex datasets and collaborate effectively with data engineering and technology teams.
Strong business judgment and the ability to communicate technical findings clearly to nontechnical executives.
Our Director-Data Science jobs earn between $241,500.00 - $362,300.00 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.
Weekly Hours: 40
Time Type: Regular
Location: Dallas, Texas
Salary Range: $241,500.00 - $362,300.00
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.