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.

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

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