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 is offered.

At AT&T, we empower leaders to drive change in a fast evolving, connected world. Your strategic vision will help serve customers and transform lives through innovative solutions and impactful connections.

We are seeking a dynamic analytics leader to drive our broadband customer retention strategy through innovative data-driven insights and cross-functional collaboration. In this strategic role, you will shape the analytics vision supporting broadband product initiatives, with a core focus on reducing churn and maximizing customer lifetime value.

You will lead the development of advanced analytics models to identify churn risk, uncover customer motivations, and recommend actionable retention strategies. Partnering closely with commercialization, marketing, product management, customer experience, and operations, you will ensure analytics priorities are tightly aligned with business goals. Your expertise will guide campaign evaluation, pricing, and the design of personalized retention initiatives using segmentation and advanced methods such as A/B testing and causal inference.

As a team leader, you will manage and develop a high-performing group of analysts, overseeing resource allocation, project delivery, and stakeholder engagement. You will champion the adoption of cutting-edge AI, machine learning, and automation tools to enhance analytics capabilities, while ensuring robust data governance and scalable infrastructure.

Staying ahead of industry trends and emerging methodologies, you will foster a culture of innovation, experimentation, and continuous improvement to drive superior retention outcomes and maintain our competitive edge in the broadband market.

In the role, you will direct and lead a large team of professionals who strategically analyze data from diverse sources using advanced predictive modeling, statistics, and trend analysis, thereby driving informed decision-making and optimizing business performance.

Key Roles and Responsibilities: Typical tasks may include, but are not limited to, the following:

• Data Analysis and Interpretation: Gather, analyze, and interpret diverse data sets to solve a variety of business problems, predict behaviors, and identify causal relationships, trigger points, and predictions. Well-versed with Relational (Ex- Oracle or MySQL) and/or Data Warehouse data storage (Ex- Snowflake or Databricks Delta Lake).
• Statistical Methods and Decision Support: Apply a range of advanced statistical methods to quantify data variances and uses traditional modeling techniques to support decision-making. Most common tools are Tableau, PowerBI (AI Insights), Databricks, AWS Azure, Synapse, H2O Driverless AI, etc.
• Business Case Development and Analytics Tools: Develop business cases and create complex models utilizing big data analytics tools (Ex- Tableau, Power BI AI Insights, Databricks) for modeling and process integration, and to make recommendations for improvements to processes, financials, business models, etc. Build and test predictive models on various data samples and verifies their accuracy in real-world scenarios (Ex- Linear/Logistic Regression, Time Series).
• Reporting and Business Insights: Develop visualizations such as dashboards, reports and charts, and advise business partners on data patterns and relationships to recommend strategic directions. Advise business partners with regard to patterns and relationships in data to recommend business direction or outcomes.

Job Contribution: Designs and executes strategies that support the overarching philosophy of the organization. Oversees departmental programs and is often hands-on with the design and implementation of applicable strategies. Typically leads large teams, supervising supervisors as well as career-level staff within the organization. Responsible for influencing decisions regarding the hiring, firing, disciplinary action, promotional activity, and pay decisions for subordinates.

Education/Experience: Master's degree (MS/MA) desired from an accredited University in a Quantitative field of study such as Data Science, Math, Statistics, Engineering or Physics. 10+ years of related experience.

Supervisor: Yes

Our Director-Advanced Analytics earns between $191,400 - $287,200 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 Time Off and Holidays (based on date of hire, at least 28 days of vacation each year and 9 company-designated holidays)  
• 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

If you’re ready to make an impact on our business and your career, bring your bold ideas to a world of possibility. 

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It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.