AI-Driven Life Sciences Manufacturing Delivery Manager

EY

Arlington (VA)

Remote

USD 128.000 - 257.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden
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Zusammenfassung

EY in the United States seeks a Manager in Supply Chain Manufacturing for Life Sciences, leading technology-enabled transformation workstreams to improve plant performance, quality, compliance, and supply reliability, blending manufacturing know-how with digital, data, AI, and delivery skills in regulated environments.

You will work with pharmaceutical, biotechnology, and medical-device clients, guiding assessments through design, implementation, testing, adoption, and stabilization while

Qualifikationen

  • Bachelor's degree in engineering, life sciences, manufacturing, or related field.
  • At least 7 years in Life Sciences manufacturing, manufacturing technology, or related areas.
  • Experience leading client-facing manufacturing/digital workstreams through design and deployment.
  • Experience in regulated manufacturing environments (pharma/biotech/medical devices).
  • Ability to translate needs into process, data, and testing deliverables.

Aufgaben

  • Lead client-facing workstreams in Life Sciences manufacturing transformation with ownership of plans and outcomes.
  • Assess current-state production and quality processes, data flows, and site constraints.
  • Translate priorities into designs, requirements, and measurable improvements.
  • Develop functional designs for batch execution, electronic batch records, and related capabilities.
  • Coordinate integration across MES/MOM, ERP, LIMS, QMS, historians, and OT/IT systems.
  • Define data mappings, master data needs, and data-quality controls for analytics and AI.

Kenntnisse

Life Sciences manufacturing
Digital / AI
Client-facing leadership
Workshop facilitation
Regulated environment knowledge

Ausbildung

Bachelor's degree in engineering or life sciences

Tools

MES/MOM
ERP
LIMS
QMS
SCADA

Jobbeschreibung

EY in the United States seeks a Manager in Supply Chain Manufacturing for Life Sciences, leading technology-enabled transformation workstreams to improve plant performance, quality, compliance, and supply reliability, blending manufacturing know-how with digital, data, AI, and delivery skills in regulated environments.

You will work with pharmaceutical, biotechnology, and medical-device clients, guiding assessments through design, implementation, testing, adoption, and stabilization while

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