Supply Chain Manufacturing AI Transformation Lead

EY

Oklahoma City (OK)

On-site

USD 128,000 - 235,000

Full time

9 days ago
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Benefits offered by this job

Medical and dental coverage
401(k) plan

Job summary

EY seeks a Manager in our Supply Chain Manufacturing practice to lead market-facing delivery of manufacturing transformation programs that blend operational improvement, digital tech, analytics, and AI.

You will work with client executives, plant leaders, and cross-functional teams to turn priorities into implementable solutions that improve productivity, reliability, and manufacturing agility, while scaling AI across plant and network operations.

Qualifications

  • Bachelor’s degree in engineering or related field.
  • 4–6 years in digital manufacturing, manufacturing operations, or related environment.
  • Experience shaping or delivering AI, analytics, or knowledge-enabled solutions.
  • Experience leading client-facing workstreams or projects.
  • Ability and willingness to travel to client and manufacturing sites (80–100%).

Responsibilities

  • Lead client-facing manufacturing transformation workstreams through full lifecycle.
  • Translate client needs into solution requirements and engagement plans.
  • Coordinate with ERP/MES/IT teams to design scalable solutions.
  • Capture lessons and feedback to inform design backlog and roadmap.
  • Define deployment roadmaps and measurable outcomes across sites.

Skills

Manufacturing leadership
AI in manufacturing
Knowledge graphs
RAG & AI grounding
Semantic architecture
Client leadership
Delivery leadership

Education

Bachelor's degree in engineering, supply chain, operations, information systems, computer science, business, or related field

Tools

ERP systems
MES/MOM
SCADA
LIMS

Job description

EY seeks a Manager in our Supply Chain Manufacturing practice to lead market-facing delivery of manufacturing transformation programs that blend operational improvement, digital tech, analytics, and AI.

You will work with client executives, plant leaders, and cross-functional teams to turn priorities into implementable solutions that improve productivity, reliability, and manufacturing agility, while scaling AI across plant and network operations.

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