Lead Advanced Analytics

AT&T; Dallas (TX); On-site; USD 144,000 - 216,000; Full time

Benefits offered by this job

Medical/Dental/Vision coverage

401(k) plan

Paid Time Off and Holidays

Tuition reimbursement

Job summary

AT&T in Dallas, Texas seeks a Lead Advanced Analytics professional to blend analytical expertise with AI, automation, and scalable delivery to transform complex challenges into actionable insights.

You will lead cross functional teams, deliver end-to-end analytics and AI solutions, and mentor others while driving measurable business value in a fast-paced on-site environment.

Qualifications

• Bachelor's degree in a quantitative or technical discipline (Data Science, CS, Math, etc.).
• 5+ years in advanced analytics, data science, AI/ML, or related fields.
• Proficiency with Python, SQL, and analytics platforms.

Responsibilities

• Lead analytics and AI initiatives from concept to production.
• Translate business needs into technical specifications and measurable success metrics.
• Collaborate with stakeholders and tech teams to deliver scalable data products and decision-support tools.
• Establish governance, testing, monitoring, and security controls for AI analytics projects.

Skills

Advanced Analytics

Data Science

Machine Learning

Python

SQL

Snowflake

Databricks

Azure

Power BI

Generative AI

RAG

MCP

A2A

Education

Bachelor's degree in a quantitative or technical discipline

Tools

Snowflake

Databricks

Azure

Power BI

Job description

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 is 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.