Life Sciences Manufacturing AI Transformation Delivery Lead

EY

Lorida (FL)

Hybrid

USD 140,000 - 210,000

Full time

7 days ago
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Job summary

EY is seeking a Life Sciences Manufacturing Manager to lead technology-enabled transformation across pharmaceutical, biotech, and medical-device clients. You will drive workstreams from assessment through deployment, coordinating among manufacturing, quality, IT, and vendor teams.

The role emphasizes GxP alignment, data integration, and AI-enabled optimization. The successful candidate will manage plans, risks, and outcomes with senior engagement leaders, travel as needed, and deliver tangible

Qualifications

  • Bachelor's degree in engineering, life sciences, manufacturing, supply chain, information systems, business, or related discipline.
  • At least 7 years of relevant Life Sciences manufacturing/tech/AI experience.
  • Experience leading a client-facing workstream through design and deployment.
  • Experience in pharmaceutical/biotech/medical-device regulated manufacturing.
  • Ability to travel 80-100%.
  • Experience delivering with MES/MOM, electronic batch records or connected-worker tools.

Responsibilities

  • Lead client-facing Life Sciences manufacturing transformation workstreams with clear plans and ownership.
  • Translate plant needs into requirements, acceptance criteria, and measurable improvements.
  • Coordinate cross-functional teams across MES/MOM, ERP, LIMS, QMS, and OT systems.
  • Develop functional designs for capabilities like batch execution and genealogy.
  • Oversee testing, deployment readiness, training, and handover for workstreams.

Skills

Life Sciences manufacturing
Digital & AI
Client-facing leadership
Project coordination

Education

Bachelor's degree in engineering or life sciences

Tools

MES/MOM systems
Electronic batch records
Recipe management

Job description

EY is seeking a Life Sciences Manufacturing Manager to lead technology-enabled transformation across pharmaceutical, biotech, and medical-device clients. You will drive workstreams from assessment through deployment, coordinating among manufacturing, quality, IT, and vendor teams.

The role emphasizes GxP alignment, data integration, and AI-enabled optimization. The successful candidate will manage plans, risks, and outcomes with senior engagement leaders, travel as needed, and deliver tangible

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