Life Sciences Manufacturing & AI Transformation Lead

EY; New Brunswick (NJ); On-site; USD 128,000 - 235,000; Full time

Benefits offered by this job

Salary ranges by location

Medical and dental coverage

Pension and 401(k) plans

Paid time off options

Job summary

EY is seeking a Manager in Supply Chain Manufacturing to lead technology-enabled transformation for Life Sciences manufacturing across multiple client sites in the US. You will manage workstreams from assessment through design, implementation, testing, adoption, and stabilization, translating plant-floor needs into actionable requirements.

The role emphasizes techno-functional delivery, collaboration with automation, data, and cybersecurity teams, and working with senior engagement leaders on

Qualifications

• Bachelor's degree in engineering, life sciences, manufacturing, supply chain, information systems, business, or related field.
• At least 7 years of relevant experience in Life Sciences manufacturing, manufacturing technology, operational excellence, industrial data and AI, technology consulting, 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.
• 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 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 and data analysis.
• Translate priorities into process designs, requirements, acceptance criteria, and measurable improvements.
• Develop functional designs for capabilities such as batch execution, electronic batch records, recipe management, genealogy, and connected-worker workflows.
• Coordinate integration requirements across MES/MOM, ERP, LIMS, QMS, historians, SCADA, DCS/PLC, asset-management systems, and cloud/edge platforms.
• Define and review data mappings, master-data needs, interface specifications, and data-quality controls for reporting, analytics, and AI use cases.
• Help deliver analytics and AI use cases by assessing data readiness, workflow fit, evaluation criteria, and human oversight.
• Work with client quality and validation teams to reflect GxP, data-integrity, and validation requirements in workstream deliverables.
• Oversee configuration activities and lead testing, defect resolution, deployment readiness, training, cutover support, hypercare, and handover.
• Facilitate sessions across manufacturing, quality, MS&T, engineering, supply chain, IT, OT, data, and vendors; manage dependencies.
• Manage scope, schedule, resources, quality, and risks; contribute to estimates, proposals, and follow-on opportunities.
• Coach junior team members and capture reusable requirements and delivery lessons.

Skills

Client-facing leadership

Workshop facilitation

Data analysis

Cross-functional collaboration

Education

Bachelor's degree

Tools

MES/MOM

ERP

LIMS

QMS

SCADA

DCS/PLC

Historians

Cloud platforms

Job description

EY is seeking a Manager in Supply Chain Manufacturing to lead technology-enabled transformation for Life Sciences manufacturing across multiple client sites in the US. You will manage workstreams from assessment through design, implementation, testing, adoption, and stabilization, translating plant-floor needs into actionable requirements.

The role emphasizes techno-functional delivery, collaboration with automation, data, and cybersecurity teams, and working with senior engagement leaders on