Life Sciences Manufacturing Transformation Lead - AI & Data

EY

Arlington (VA)

Remote

USD 150,000 - 344,000

Full time

4 days ago
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Benefits offered by this job

Medical and dental coverage
Pension and 401(k) plans
Paid time off

Job summary

EY is seeking a Senior Manager in Supply Chain Manufacturing to lead transformation programs for pharmaceutical, biotechnology, and medical-device manufacturers. You will connect plant operations with enterprise systems and drive data, AI, and automation solutions across regulated environments.

The role combines plant-floor expertise with data strategy, ensuring governance, risk management, and measurable results. Travel and leadership across cross-functional teams are essential to success.

Qualifications

  • Bachelor’s degree in engineering, life sciences, manufacturing, supply chain, information systems, business, or related discipline.
  • 10+ years of experience in Life Sciences manufacturing, manufacturing technology, operational excellence, AI, or related field.
  • Experience leading transformation initiatives in regulated environments such as pharma, biotech, or medical devices.

Responsibilities

  • Lead end-to-end Life Sciences manufacturing transformations from assessment to value realization.
  • Build relationships with senior stakeholders and drive decisions.
  • Translate priorities into practical workplans and outcome measures.
  • Direct multidisciplinary teams across design, automation, data, and quality.

Skills

Techno-functional leadership
Life Sciences manufacturing
Plant data integration
AI in manufacturing
Executive communication
GxP knowledge

Education

Bachelor's degree in engineering
Master’s degree or certification

Tools

MES/MOM platforms
eDHRs / electronic batch records

Job description

EY is seeking a Senior Manager in Supply Chain Manufacturing to lead transformation programs for pharmaceutical, biotechnology, and medical-device manufacturers. You will connect plant operations with enterprise systems and drive data, AI, and automation solutions across regulated environments.

The role combines plant-floor expertise with data strategy, ensuring governance, risk management, and measurable results. Travel and leadership across cross-functional teams are essential to success.

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