Lead Qual/m&p Process

AT&T AT&T · Telecom · Dallas, TX +3

This role leads AI-driven transformation initiatives in service delivery operations, focusing on designing and implementing automation and intelligent workflows to improve efficiency and customer experience. The position requires applying AI/ML in operational environments, partnering with cross-functional teams to deploy AI capabilities at scale, and translating business challenges into technology-enabled solutions.

What you'd actually do

  1. Lead AI-driven transformation initiatives across service delivery operations
  2. Design and implement automation and intelligent workflows to improve efficiency and customer experience
  3. Identify opportunities to replace manual processes with AI-enabled or automated solutions
  4. Apply data-driven problem solving and root cause analysis to address systemic operational issues
  5. Partner with cross-functional teams to deploy and operationalize AI capabilities at scale

Skills

Required

  • AI
  • machine learning
  • automation
  • data-driven solutions
  • operational environments
  • business process improvement
  • technology implementation
  • problem-solving
  • scaling operational improvements
  • complex service delivery
  • telecom
  • supply chain
  • large-scale operations
  • translating business challenges into technology-enabled solutions
  • leading cross-functional initiatives
  • senior leadership visibility

Nice to have

  • fiber service delivery
  • intelligent systems

What the JD emphasized

  • hands-on experience driving AI-enabled transformation in operations
  • Experience applying AI, machine learning, automation, or advanced data-driven solutions in operational environments
  • Proven track record of improving business processes through technology, automation, or AI
  • Experience working in complex service delivery, telecom, supply chain, or large-scale operations environments

Other signals

  • AI-driven transformation initiatives
  • deploy and operationalize AI capabilities at scale
  • Translate business requirements into scalable AI and automation use cases