Work Schedule: Minimum 5 days per week in-office presence required

Work location: Dallas, TX

Relocation: Not offered

Overall Purpose

This role strategically analyzes data from diverse sources using advanced predictive modeling, statistical techniques, and trend analysis to drive informed decision-making and optimize business performance across the enterprise. The ideal candidate leverages AI-powered tools and agentic workflows to accelerate development, automate processes, and deliver intelligent solutions at scale.

Job Contribution

Recognized as an experienced professional and subject-matter expert who creatively resolves highly complex and ambiguous issues through deep technical and business knowledge. Leads major initiatives with significant strategic impact, influences executive-level decisions, implements long-term plans affecting the broader organization, and collaborates frequently with senior leadership.

What You Will Do

• Analyze and Interpret Complex Data:  Gather, analyze, and interpret diverse data sets to solve ongoing and emerging business problems, predict behaviors, and identify causal relationships, trigger points, and predictive outcomes. Work with relational databases (e.g., Oracle, MySQL) and data warehouse technologies (e.g., Snowflake, Databricks Delta Lake), leveraging internal and external data sources including data lakes and enterprise data warehouses.

• Apply Advanced Statistical Methods: Use a broad range of advanced statistical techniques to quantify data variances and support data-driven decision-making through traditional and advanced modeling methodologies.

• Develop Predictive Models and Business Cases: Build, test, and validate predictive models using real-world data samples, including linear regression, logistic regression, and time-series modeling. Develop business cases and complex analytical models using big-data analytics and visualization tools such as Tableau and Power BI, to recommend improvements to business processes, financial outcomes, and operating models.

• Deliver Insights Through Visualization and Storytelling:  Create dashboards, reports, and visual analytics that clearly communicate insights to business partners. Advise stakeholders on patterns, relationships, and trends in data to inform strategic direction, performance improvements, and business outcomes.

• Lead and Influence at Scale: Lead significant, high-impact analytics initiatives with strategic autonomy, collaborate closely with senior leadership, and mentor less experienced team members.

• Leverage AI-Assisted Development: Use AI-powered development environments (e.g., Windsurf Cascade, VS Code with GitHub Copilot, Cursor) to accelerate coding, debugging, testing, and documentation.

• Build Agentic AI Solutions: Design and build agentic AI workflows using frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, and Semantic Kernel. Implement RAG (Retrieval-Augmented Generation) pipelines using vector databases, embeddings, and document retrieval techniques.

Supervisor:  No

What You Will Bring

Analytics & Data Skills

- Expertise in advanced analytics, statistics, and predictive modeling techniques

- Experience with analytics and data platforms such as Tableau, Power BI (AI Insights), Databricks, AWS, Azure, Synapse, and H2O Driverless AI

- Advanced Python skills (pandas, NumPy, PySpark) and advanced SQL (CTEs, window functions, query optimization)

AI & Agentic Experience

- Proficiency with AI coding assistants (Windsurf Cascade, GitHub Copilot, Cursor) and agentic AI frameworks

- Hands-on experience with Large Language Models (OpenAI, Claude, LLaMA, Gemini) and prompt engineering

- Experience building agentic workflows, RAG pipelines, and AI-powered automation

Cloud & Data Platforms

- Experience with cloud data platforms: Snowflake (Snowpark, Cortex) and Databricks (Delta Lake, Unity Catalog)

- Proficiency with Azure services: Data Factory, Synapse Analytics, ADLS, Azure ML

- Experience with ML frameworks: MLflow, scikit-learn, XGBoost, PyTorch

Professional Skills

- Ability to synthesize complex data into clear, actionable insights for executive-level decision-making

- Proven ability to influence outcomes across multiple organizations and lines of business

- Strong GitHub skills, CI/CD pipelines, and DevOps practices

- Excellent communication skills with the ability to convey technical concepts to executive audiences

- Experience mentoring and guiding analytics professionals

What is Required

- Bachelor's degree (BS/BA) from an accredited university in a quantitative field such as Data Science, Mathematics, Statistics, Engineering, or Physics

- 5+ years of related experience

- Certifications required in certain specialty areas

Preferred Qualifications

- Experience in Supply Chain, Procurement, or Finance analytics domains

- Cloud certifications (Azure Data Engineer, Snowflake SnowPro, Databricks Certified)

- Familiarity with enterprise AI governance and responsible AI practices

- Experience with Snowflake Cortex, Databricks Genie, or similar cloud-native AI services

Our R-107016 Lead Advanced Analytics earns between $130,700.00-$ $196,100.00 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 Time Off and Holidays (based on date of hire, at least 23 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

You’ll join a culture that values bold ideas, continuous growth, and meaningful collaboration. Enjoy a comprehensive benefits package, career development resources, and the chance to make a difference every day.

Ready to shape the future and make your mark? Apply today and bring your expertise to AT&T.

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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.