Life Sciences Manufacturing & AI Transformation Lead

EY

Birmingham (AL)

Remote

USD 128,000 - 235,000

Full time

4 days ago
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Job summary

EY is seeking a Life Sciences Manufacturing Manager to lead technology-enabled transformation workstreams that improve plant performance, quality, compliance, and supply reliability. You’ll combine practical manufacturing knowledge with digital, data, AI, and delivery skills to address regulated environments.

You will work with pharmaceutical, biotechnology, and medical-device manufacturers to enhance production, quality, laboratory, engineering, and technology team collaboration.

Qualifications

  • Bachelor's degree in engineering, life sciences, manufacturing, supply chain, information systems, business, or a related discipline.

Responsibilities

  • Lead client-facing workstreams in Life Sciences manufacturing transformation, with clear ownership of plans, deliverables, risks, decisions, and outcomes.
  • Assess current-state production and quality processes, user needs, system landscapes, data flows, performance gaps, and site constraints through workshops, data analysis, and plant engagement.
  • Translate priorities such as yield, throughput, right-first-time execution, batch-cycle time, deviation reduction, asset reliability, and supply continuity into process designs, requirements, acceptance criteria, and measurable improvements.
  • Develop functional designs for capabilities such as batch execution, electronic batch records, recipe management, genealogy, review by exception, connected-worker workflows, maintenance, and performance management.
  • Coordinate integration requirements across MES/MOM, ERP, LIMS, QMS, historians, SCADA, DCS/PLC, asset-management systems, and cloud or edge platforms, working with architecture, automation, and cybersecurity specialists.
  • Define and review data mappings, asset and batch context, master-data needs, interface specifications, and data-quality controls needed for reporting, analytics, and AI use cases.
  • Help deliver analytics and AI use cases, such as process monitoring, predictive maintenance, deviation investigation support, and decision support, by assessing data readiness, workflow fit, evaluation criteria, and human oversight.
  • Work with client quality and validation teams to reflect applicable GxP, data-integrity, electronic-record, change-control, and validation or risk-based assurance requirements in workstream deliverables.
  • Oversee configuration activities and lead functional testing, defect resolution, deployment readiness, training, cutover support, hypercare, and handover for your workstream.
  • Facilitate working sessions across manufacturing, quality, MS&IT, engineering, supply chain, IT, OT, data, and technology-vendor teams; escape decisions and dependencies that affect the broader program.
  • Manage workstream scope, schedule, resources, quality, and risks; provide clear status updates and contribute to estimates, proposals, and follow-on opportunity shaping.
  • Coach junior team members, review their work products, and capture reusable requirements, design patterns, and delivery lessons.

Skills

Life Sciences manufacturing
Workshop facilitation
Client-facing engagement
Cross-functional collaboration
Delivery management

Education

Bachelor's degree in engineering, life sciences, manufacturing, supply chain, information systems, business, or related

Tools

MES/MOM
ERP
LIMS
QMS
SCADA
DCS/PLC

Job description

EY is seeking a Life Sciences Manufacturing Manager to lead technology-enabled transformation workstreams that improve plant performance, quality, compliance, and supply reliability. You’ll combine practical manufacturing knowledge with digital, data, AI, and delivery skills to address regulated environments.

You will work with pharmaceutical, biotechnology, and medical-device manufacturers to enhance production, quality, laboratory, engineering, and technology team collaboration.

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