A&D Supply Chain & Engineering Transformation Lead

Accenture

Austin (TX)

On-site

USD 120,000 - 250,000

Full time

5 days ago
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Benefits offered by this job

Medical, dental, vision
Life insurance
Long-term disability
401(k)
Bonus opportunities
Paid holidays
Paid time off

Job summary

Accenture is seeking a senior leader in the US A&D practice to drive transformation across supply chain, engineering, and manufacturing. You will guide operating models, network strategies, and digital factory initiatives to deliver measurable outcomes for aerospace and defense clients.

The role involves leading multi-disciplinary teams, engaging in sales origination and delivery, and travel as required by client needs. A strong background in PLM, IoT, and AI-enabled analytics is preferred.

Qualifications

  • 8+ years experience in Aerospace & Defense supply chain, engineering, or manufacturing improvement initiatives
  • 8+ years experience with new technology (Digital Thread / Twin, PLM, Robotic Process Automation, IoT, Machine Learning, AI, Blockchain)
  • 1+ year in external consulting role

Responsibilities

  • Support US A&D clients on operating model strategy for supply chain, engineering and manufacturing functions
  • Develop network and design strategies to optimize sourcing, design, and manufacturing locations
  • Lead projects including Product Lifecycle Management and Industry 4.0 initiatives

Skills

A&D supply chain
Consulting experience
Project leadership

Education

Bachelor's degree or equivalent (minimum 12 years) work experience

Tools

PLM
MES/MOM systems
IoT platforms
AI/ML

Job description

Accenture is seeking a senior leader in the US A&D practice to drive transformation across supply chain, engineering, and manufacturing. You will guide operating models, network strategies, and digital factory initiatives to deliver measurable outcomes for aerospace and defense clients.

The role involves leading multi-disciplinary teams, engaging in sales origination and delivery, and travel as required by client needs. A strong background in PLM, IoT, and AI-enabled analytics is preferred.

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