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AT&T

Lead Advanced Analytics

AT&T

. Gather, analyze, and interpret large, diverse datasets to solve complex business challenges .

Posted 10/2/2026full-timeDallas • Texas • United StatesSenior💰 $143,800 - $215,800 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Advanced Analytics, Data Science, and Artificial Intelligence/Machine Learning, with a strong focus on developing and implementing scalable analytics solutions that drive business transformation and measurable outcomes. Proficient in translating complex business requirements into actionable technical specifications and leading cross-functional initiatives.

Highest-signal resume keywords
Advanced AnalyticsData ScienceMachine LearningPython ProgrammingGenerative AI Solutions

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Statistical AnalysisPredictive ModelingForecasting TechniquesOptimization TechniquesData VisualizationData EngineeringAnalytics EngineeringAPI DevelopmentWorkflow AutomationVersion Control
Soft Skills
Stakeholder ManagementCommunication SkillsMentoringTechnical LeadershipCross-Functional Collaboration
Tools & Technologies
PythonRSQLSnowflakeDatabricksAzurePower BIOracleAWSGit
Industry Keywords
Supply Chain AnalyticsBusiness TransformationOperational EnvironmentsDemand PlanningInventory Management

Tech Stack

Tools & technologies
AWSAzureCloudOraclePythonSDLCSQL

About the role

Key responsibilities & impact
  • Gather, analyze, and interpret large, diverse datasets to solve complex business challenges
  • Identify trends, causal relationships, risks, and opportunities through statistical analysis and predictive modeling
  • Apply forecasting, optimization, machine learning, and advanced analytical techniques to support data-driven decision making
  • Deliver actionable insights and recommendations that improve operational and business outcomes
  • Design and implement scalable end-to-end analytics solutions integrating data, analytical models, machine learning, Generative AI, data visualization, workflow automation, business rules, and decision logic
  • Translate business requirements into technical specifications, solution architectures, implementation plans, and measurable success metrics
  • Develop and operationalize Generative AI, machine learning, and agent-enabled solutions
  • Build solutions grounded in trusted enterprise knowledge and data
  • Establish governance, testing, monitoring, evaluation, security, and human-review controls
  • Implement AI architectures using RAG, MCP, A2A interactions, agent harnesses, and orchestration frameworks
  • Build and support reusable data products, semantic models, data pipelines, integrations, dashboards, and visualizations
  • Use Python, SQL, Snowflake, Databricks, Azure, Power BI, and related platforms
  • Apply version control, testing, documentation, and repeatable deployment processes
  • Lead large-scale analytics and AI initiatives from concept through production
  • Drive discovery, business-case development, design, implementation, adoption, and support
  • Manage priorities, dependencies, delivery risks, and stakeholder expectations
  • Provide hands-on technical leadership for complex solutions
  • Partner with business stakeholders, supply chain leaders, data engineers, analytics teams, technology partners, and executive leadership
  • Communicate analytical findings and technical tradeoffs clearly
  • Mentor team members and establish scalable analytics and AI practices
  • Ensure delivered solutions generate measurable business value and adoption
  • Influence supply chain analytics and AI strategy and lead transformational initiatives

Requirements

What you’ll need
  • Bachelor's degree desired from an accredited university in a quantitative or technical discipline such as Data Science, Computer Science, Mathematics, Statistics, Engineering, Physics, Operations Research, Information Systems, or a related field
  • 5+ years of experience in Advanced Analytics, Data Science, Artificial Intelligence/Machine Learning, Technology Product Management, Business Transformation, Software Development, or related technical fields
  • 5+ years of advanced analytics, data science, analytics engineering, data engineering, or AI/ML experience
  • Strong hands-on proficiency with Python and/or R, advanced SQL, statistical analysis, machine learning, forecasting, predictive modeling, and optimization techniques
  • Experience designing and delivering analytics solutions using Oracle, Snowflake, Databricks, Azure, AWS, relational databases, and modern cloud platforms
  • Experience developing production-ready data products, visualizations, APIs, workflow automations, and AI-powered decision support solutions
  • Demonstrated experience designing, developing, and implementing production-oriented Generative AI solutions using RAG, MCP, agent tools and skills, API integrations, prompt engineering, context engineering, and single-agent and multi-agent orchestration
  • Experience with Git, testing frameworks, documentation standards, Agile methodologies, and SDLC
  • Proven success leading cross-functional initiatives from ambiguous business challenges through implementation and measurable business results
  • Strong stakeholder management and communication skills
  • Ability to explain analytical findings and technical tradeoffs to technical audiences and executive leadership
  • Experience driving organizational adoption of complex business and technical solutions
  • Strong technical product ownership and program delivery capabilities
  • Preferred experience supporting supply chain, logistics, demand planning, supply planning, procurement, inventory management, forecasting, network equipment planning, or complex operational environments

Benefits

Comp & perks
  • Medical/Dental/Vision coverage
  • 401(k) plan
  • Tuition reimbursement program
  • Paid Time Off and Holidays (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