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Lead Advanced Analytics at AT&T, Dallas, TX

Lead Advanced Analytics at AT&T in Dallas, TX. Full-time. $143,800 to $215,800 a year. Apply with swipeandhired.

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.
Who We Are Looking For
AT&T i s seeking a highly skilled Lead Advanced Analytics professional to help build the supply chain of the future. This role is ideal for someone who combines deep analytical expertise with strong technical capabilities across data, artificial intelligence, automation, and solution delivery.
You will serve as a trusted advisor and technical leader, partnering with business stakeholders and technology teams to transform complex supply chain and business challenges into scalable analytics, AI-driven solutions, intelligent workflows, and decision-support tools. The successful candidate will thrive in a fast-paced environment, balancing strategic thinking with hands-on execution while driving measurable business outcomes.
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

Our Lead Advanced Analytics jobs earn between $143,800.00 - $215,800.00 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

Weekly Hours:
40
Time Type:
Regular
Location:
Dallas, Texas
Salary Range:
$143,800.00 - $215,800.00
AT&T and its subsidiaries are committed to equal employment opportunity. All hiring, promotion, and other employment decisions remain merit-based and free from discrimination on the basis of race, color, religion, religious creed, national origin, ancestry, age, sex, sexual orientation, gender, gender identity, gender expression, physical disability, mental disability, pregnancy, medical condition, genetic information, marital status, citizenship status, military status, veteran status, or any other characteristic protected by federal, state, or local laws. In addition, AT&T will provide reasonable accommodations to qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made. Click here to learn more or request an application accommodation here .