Director, People & Decision Science

AT&T

Dallas (TX)

On-site

USD 242,000 - 362,000

Full time

13 days ago
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Benefits offered by this job

Medical/Dental/Vision coverage
401(k) plan
Tuition reimbursement program
Paid Parental Leave
Paid Caregiver Leave
Employee wellness programs

Job summary

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.

Qualifications

  • 10+ years of experience in economics, econometrics, statistics, decision science, or related field.
  • Experience leading data scientists, economists, or quantitative researchers.
  • Ability to work with large, complex datasets and collaborate with data engineering/tech teams.
  • Strong business judgment and ability to communicate technical findings to executives.

Responsibilities

  • Build the decision science capability with methods, standards, and research agenda.
  • Apply causal inference and econometrics to assess workforce programs and policies.
  • Develop predictive and prescriptive models to anticipate outcomes and guide actions.
  • Design experiments and quasi-experiments to measure impact of interventions.
  • Apply economics to workforce decisions including labor supply/demand and incentives.
  • Develop optimization and scenario models for trade-off analysis.
  • Lead a team of data scientists and set technical direction.
  • Partner with Workforce Intelligence to inform broader products.
  • Communicate complex findings clearly to executive audiences.
  • Advance analytical rigor and responsible AI practices.

Skills

Causal inference
Econometrics
Experimental design
Statistical modeling
Machine learning
Optimization
Forecasting
Behavioral economics
Leadership

Education

Master’s or doctoral degree

Job description

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.

Overall Purpose

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.

The role goes beyond identifying correlations and trends to address more complex questions, such as:
  • 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.

Key Responsibilities:
  • 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.

Job Contribution

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

Minimum Qualifications:
  • 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.

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: 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.

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