Life Sciences Manufacturing & AI Transformation Lead

EY; Olympia (WA); Remote; USD 154,000 - 257,000; Full time

Job summary

EY in the United States is seeking a Manager in Supply Chain Manufacturing to lead technology-enabled transformation projects in Life Sciences manufacturing, combining plant-floor knowledge with digital, data, AI, and delivery skills.

You will guide workstreams across MES/MOM, ERP, LIMS, QMS, and OT/IT interfaces, ensuring compliance with GxP and data integrity, while collaborating with senior leaders on value realization.

Qualifications

• Bachelor’s degree in a relevant field.
• At least 7 years in Life Sciences manufacturing or 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.
• Ability to travel 80-100%.

Responsibilities

• Lead client-facing workstreams in Life Sciences 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 relevant 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&T, engineering, supply chain, IT, OT, data, and technology-vendor teams; elevate 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

Requirements translation

Data flows

APIs

AI readiness

Workshop facilitation

Delivery risk management

Education

Bachelor’s degree in engineering or life sciences

Tools

MES/MOM

ERP

LIMS

QMS

SCADA

DCS/PLC

Job description

EY in the United States is seeking a Manager in Supply Chain Manufacturing to lead technology-enabled transformation projects in Life Sciences manufacturing, combining plant-floor knowledge with digital, data, AI, and delivery skills.

You will guide workstreams across MES/MOM, ERP, LIMS, QMS, and OT/IT interfaces, ensuring compliance with GxP and data integrity, while collaborating with senior leaders on value realization.