Life Sciences Manufacturing Transformation Leader with AI

EY

Oklahoma City (OK)

Remote

USD 150,000 - 375,000

Full time

4 days ago
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Job summary

EY is seeking a Senior Manager in Supply Chain Manufacturing to lead transformation programs for pharmaceutical, biotechnology, and medical-device manufacturers. The role spans design, deployment, adoption, stabilization, and measurable outcomes in regulated environments.

You will connect plant operations with enterprise systems, guide analytics and AI use cases, and ensure data integrity and governance across OT and enterprise platforms.

Qualifications

  • Bachelor’s degree in engineering, life sciences, manufacturing, supply chain, information systems, business, or related discipline.
  • No less than 10+ years of relevant Life Sciences manufacturing, manufacturing technology, operational excellence, AI, or related field.
  • Experience leading complex manufacturing transformation or technology-enabled improvement initiatives in regulated environments.
  • Experience delivering client-facing programs through design, implementation, deployment, and stabilization with governance and risk management.

Responsibilities

  • Lead end-to-end Life Sciences manufacturing transformations from assessment to value realization.
  • Build trusted relationships with senior stakeholders across manufacturing, quality, IT/OT, and supply chain.
  • Translate priorities into practical workplans and outcome measures.
  • Direct multidisciplinary teams across manufacturing design, MES/MOM, automation, data engineering, AI, and deployment.

Skills

Techno-functional leadership
Executive communication
Problem solving
Delivery leadership

Education

Bachelor's degree in engineering or life sciences

Tools

MES/MOM
eDHRs
OPC UA
ISA/IEC standards

Job description

EY is seeking a Senior Manager in Supply Chain Manufacturing to lead transformation programs for pharmaceutical, biotechnology, and medical-device manufacturers. The role spans design, deployment, adoption, stabilization, and measurable outcomes in regulated environments.

You will connect plant operations with enterprise systems, guide analytics and AI use cases, and ensure data integrity and governance across OT and enterprise platforms.

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