This is a full-time onsite role based in the location(s) posted and is performed from the designated work location five days per week. No relocation is offered.

What You'll Do

• As a Lead Advanced Analytics professional, you will leverage advanced analytics, machine learning, Generative AI, and modern data technologies to improve business performance and operational efficiency. 
• Advanced Analytics & Decision Support 
• 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. 
• Analytics & AI Solution Design 
• Design and implement scalable end-to-end analytics solutions that integrate: Data and 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. 
• Generative AI & Intelligent Automation 
• 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 modern AI architectures leveraging: Retrieval Augmented Generation (RAG) Model Context Protocol (MCP) Agent-to-Agent (A2A) interactions Agent harnesses and orchestration frameworks 
• Data Products & Analytics Engineering 
• Build and support reusable: Data products Semantic models Data pipelines Integrations Dashboards and visualizations 
• Utilize modern analytics technologies including Python, SQL, Snowflake, Databricks, Azure, Power BI, and related platforms. 
• Apply development best practices including version control, testing, documentation, and repeatable deployment processes. 
• Technical Product & Delivery Leadership 
• 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 while guiding complex solutions to successful outcomes. 
• Business Partnership & Value Realization 
• Act as a trusted bridge between: Business stakeholders Supply chain leaders Data engineers Analytics teams Technology partners Executive leadership 
• Communicate analytical findings and technical tradeoffs clearly and effectively. 
• Mentor team members and help establish scalable analytics and AI practices. 
• Ensure delivered solutions generate measurable business value and adoption 

Why This Role Matters

• This role provides an opportunity to shape the future of Supply Chain Analytics and AI at AT&T. You will influence strategy, lead transformational initiatives, and deliver innovative capabilities that improve decision-making, productivity, operational performance, and business outcomes across the organization. 
• As a recognized subject matter expert, you will operate with significant autonomy, influence executive decisions, and provide leadership across analytics, AI, automation, and business transformation efforts.

Required Qualifications

Education-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 Related field 

Experience- 5+ years of experience in one or more of the following: Advanced Analytics Data Science Artificial Intelligence/Machine Learning Technology Product Management Business Transformation Software Development Related technical fields

Preferred Qualifications

Technical Expertise

• 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 Optimization techniques 
• Data Platforms & Analytics Solutions 
• Experience designing and delivering analytics solutions utilizing: 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. 
• Generative AI 
• Demonstrated experience designing, developing, and implementing production-oriented Generative AI solutions using: Retrieval Augmented Generation (RAG) MCP Agent tools and skills API integrations Prompt engineering Context engineering Single-agent and multi-agent orchestration 
• Software Development Practices

Experience with:

• Git Testing frameworks Documentation standards Agile methodologies Software Development Lifecycle (SDLC) 
• Leadership & Business Impact 
• 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 both technical audiences and executive leadership. 
• Experience driving organizational adoption of complex business and technical solutions.
•  Strong technical product ownership and program delivery capabilities. 
• Industry Experience 

Preferred experience supporting:

• Supply Chain 
• Logistics 
• Demand Planning 
• Supply Planning 
• Procurement 
• Inventory Management 
• Forecasting 
• Network Equipment Planning 
• Complex Operational Environments 

What You'll Bring

• Strategic thinking and business acumen 
• Deep technical analytics expertise 
• Passion for AI and innovation
•  Strong leadership and influencing skills 
• Ability to simplify complex concepts for diverse audiences
•  End-to-end ownership mentality 
• Commitment to delivering measurable business value

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

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