Lead Advanced Analytics

AT&T•Dallas, TX

6d•$143,800 - $215,800•Onsite

About The Position

AT&T 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.

Requirements

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 one or more of the following: Advanced Analytics, Data Science, Artificial Intelligence/Machine Learning, Technology Product Management, Business Transformation, Software Development, or related technical fields.
Strong hands-on proficiency with: Python and/or R, Advanced SQL, Statistical analysis, Machine learning, Forecasting, Predictive modeling, Optimization techniques.
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.
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.
Experience with: Git, Testing frameworks, Documentation standards, Agile methodologies, Software Development Lifecycle (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 both technical audiences and executive leadership.
Experience driving organizational adoption of complex business and technical solutions.
Strong technical product ownership and program delivery capabilities.
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

Nice To Haves

Preferred experience supporting: Supply Chain, Logistics, Demand Planning, Supply Planning, Procurement, Inventory Management, Forecasting, Network Equipment Planning, Complex Operational Environments.

Responsibilities

Leverage advanced analytics, machine learning, Generative AI, and modern data technologies to improve business performance and operational efficiency.
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 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.
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.
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.
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.
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.

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