Life Sciences Manufacturing AI Transformation Manager

EY; Baton Rouge (LA); Remote; USD 128,000 - 257,000; Full time

Job summary

EY is seeking a Life Sciences Manufacturing Manager to lead technology-enabled transformation programs across pharmaceutical, biotechnology, and medical-device manufacturers. You will drive cross-functional workstreams spanning production, quality, and IT, turning plant-floor needs into actionable requirements and measurable improvements.

You will coordinate MES/MOM, ERP, LIMS, QMS, and OT/IT interfaces, apply data and AI to optimize yield and quality, and ensure compliance with GxP and

Qualifications

• Bachelor's degree in engineering, life sciences, manufacturing, supply chain, information systems, business, or a related discipline.
• At least 7 years of relevant experience in Life Sciences manufacturing, manufacturing technology, operational excellence, industrial data and AI, technology consulting, or a related field.
• Experience leading a client-facing manufacturing, digital, data, or technology workstream through design and at least one implementation or deployment phase.
• Experience working in a pharmaceutical, biotechnology, medical-device, or comparably regulated manufacturing environment.
• Experience translating manufacturing needs into process, functional, data, integration, or testing deliverables and coordinating business and technical contributors.
• Practical understanding of GxP manufacturing and the documentation, change-control, quality, and data-integrity considerations relevant to digital solutions.
• Ability to travel as needed based on business and role requirements. Travel can range from 80-100%.

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.
• Translate priorities such as yield, throughput, right-first-time execution, batch-cycle time, deviation reduction, asset reliability, and supply continuity into designs and requirements.
• Develop functional designs for 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.
• Define and review data mappings, asset and batch context, master-data needs, interface specifications, and data-quality controls for reporting, analytics, and AI use cases.
• Support analytics and AI use cases, such as process monitoring, predictive maintenance, deviation investigation support, and decision support.
• Work with client quality and validation teams to reflect applicable GxP, data-integrity, electronic-record, change-control, and validation or risk-based assurance requirements.
• Oversee configuration activities and lead functional testing, defect resolution, deployment readiness, training, cutover support, hypercare, and handover.
• Facilitate sessions across manufacturing, quality, IT, data, and technology-vendor teams; manage dependencies affecting the program.
• Manage scope, schedule, resources, quality, and risks; contribute to estimates, proposals, and follow-on opportunity shaping.
• Coach junior team members, review their work, and capture reusable requirements and delivery lessons.

Skills

Life Sciences manufacturing

GxP knowledge

Data analytics

AI use cases

Project leadership

Workshop facilitation

Cross-functional collaboration

Delivery management

Regulatory awareness

Education

Bachelor's degree in engineering or life sciences

Tools

MES/MOM

ERP

LIMS

QMS

SCADA/DCS/PLC

Historians

Job description

EY is seeking a Life Sciences Manufacturing Manager to lead technology-enabled transformation programs across pharmaceutical, biotechnology, and medical-device manufacturers. You will drive cross-functional workstreams spanning production, quality, and IT, turning plant-floor needs into actionable requirements and measurable improvements.

You will coordinate MES/MOM, ERP, LIMS, QMS, and OT/IT interfaces, apply data and AI to optimize yield and quality, and ensure compliance with GxP and