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3 дня назад

Lead Advanced Analytics (AI)

143 800 - 215 800$
Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Lead Advanced Analytics (AI): Building scalable supply chain analytics, machine learning, Generative AI, and intelligent automation solutions with an accent on predictive modeling, data products, and production-ready AI architectures. Focus on designing RAG and agent-enabled systems, leading end-to-end delivery, and translating complex business challenges into measurable operational value.

Location: Dallas, Texas; full-time onsite, five days per week. No relocation is offered.

Salary: $143,800–$215,800 USD annually.

Company

AT&T is developing supply chain analytics and AI capabilities to improve decision-making, productivity, and operational performance.

What you will do

  • Analyze large, diverse datasets using statistical analysis, forecasting, optimization, predictive modeling, and machine learning.
  • Design and implement scalable end-to-end analytics and AI solutions, including data products, visualizations, workflow automation, and decision-support tools.
  • Develop and operationalize Generative AI and agent-enabled solutions using RAG, MCP, A2A interactions, and orchestration frameworks.
  • Build reusable data products, semantic models, data pipelines, integrations, dashboards, and production-ready analytics solutions.
  • Lead analytics and AI initiatives from discovery and business-case development through implementation, adoption, and support.
  • Partner with supply chain leaders, business stakeholders, data engineers, analytics teams, technology partners, and executives to deliver measurable business value.

Requirements

  • Must work onsite in Dallas, Texas five days per week; relocation is not offered.
  • Bachelor's degree in a quantitative or technical discipline is desired.
  • At least 5 years of experience in advanced analytics, data science, AI/ML, technology product management, software development, business transformation, or related technical fields.
  • Hands-on proficiency with Python and/or R, advanced SQL, statistical analysis, machine learning, forecasting, predictive modeling, and optimization.
  • Experience with modern data and cloud platforms such as Snowflake, Databricks, Azure, AWS, Oracle, relational databases, and Power BI.
  • Experience with production-oriented Generative AI, APIs, workflow automation, Git, testing, documentation, Agile methodologies, and SDLC practices.

Nice to have

  • Experience supporting supply chain, logistics, demand planning, supply planning, procurement, inventory management, forecasting, or network equipment planning.
  • Experience with prompt engineering, context engineering, MCP, agent tools, and single-agent or multi-agent orchestration.
  • Experience leading cross-functional initiatives and driving adoption of complex business and technical solutions.

Culture & Benefits

  • Medical, dental, and vision coverage.
  • 401(k) plan and tuition reimbursement.
  • Paid time off, holidays, parental leave, and caregiver leave.
  • Adoption reimbursement, disability benefits, life insurance, and supplemental benefit programs.
  • Employee assistance and wellness programs, plus discounts on eligible AT&T products and services.

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