AI-Driven Life Sciences Manufacturing Delivery Manager

EY; Providence (RI); Remote; USD 128,000 - 267,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k) plans

Paid time off

Job summary

EY in the United States is seeking a Manager for Life Sciences manufacturing transformation to lead technology-enabled workstreams that improve plant performance, quality, compliance, and supply reliability. You will coordinate cross-functional teams across MES/MOM, ERP, LIMS, QMS, and more, delivering design, implementation, testing, adoption, and stabilization in regulated environments.

This techno-functional role blends practical manufacturing knowledge with digital, data, and AI capabilities

Qualifications

• A 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 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; 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.

Education

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

Job description

EY in the United States is seeking a Manager for Life Sciences manufacturing transformation to lead technology-enabled workstreams that improve plant performance, quality, compliance, and supply reliability. You will coordinate cross-functional teams across MES/MOM, ERP, LIMS, QMS, and more, delivering design, implementation, testing, adoption, and stabilization in regulated environments.

This techno-functional role blends practical manufacturing knowledge with digital, data, and AI capabilities