Life Sciences Quality Transformation Manager

EY; Greenville (SC); Remote; USD 128,000 - 235,000; Full time

Job summary

EY is seeking a Life Sciences Manufacturing Quality Manager to lead technology-enabled transformation across quality systems, data, AI, and delivery in regulated environments. The role focuses on strengthening QA/QC, inspection readiness, and product quality within manufacturing and laboratory operations.

The manager will steer workstreams from assessment through implementation, collaborating with client teams and senior EY leaders, while ensuring data integrity and validation across eQMS/QMS,

Qualifications

• Bachelor’s degree in life sciences, engineering, quality, supply chain, information systems, business, or a related discipline.
• At least 7 years of relevant experience in Life Sciences Manufacturing Quality, QA/QC, quality technology, industrial data and AI, technology consulting, or a related field.
• Experience leading a client-facing quality, 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 quality-domain needs into process, functional, data, integration, or testing deliverables and coordinating business and technical contributors.
• Practical understanding of GxP/GMP and the documentation, change-control, data-integrity, and electronic-records-and-signatures considerations relevant to digital quality solutions.
• Ability to travel as needed; travel can range from 80-100%.
• Candidates must be legally authorized to work in the U.S. without the need for employer sponsorship, now and in the future

Responsibilities

• Lead client-facing workstreams in Life Sciences Manufacturing Quality transformation, with clear ownership of plans, deliverables, risks, decisions, and outcomes.
• Assess current-state quality processes, user needs, system landscapes, data flows, performance gaps, and site constraints through workshops, data analysis, and quality and laboratory engagement.
• Translate priorities such as right-first-time execution, cycle-time reduction, deviation and nonconformance reduction, CAPA effectiveness, and inspection readiness into process designs, requirements, acceptance criteria, and measurable improvements.
• Develop functional designs for relevant quality capabilities such as deviations/nonconformances and investigations, CAPA, change control, complaints, audits and inspection readiness, supplier quality, batch disposition/release and review by exception, and quality risk management.
• Coordinate integration requirements across eQMS/QMS, LIMS, MES/MOM, ERP, document-management, and laboratory-instrument and informatics systems, working with architecture, quality-systems, and cybersecurity specialists.
• Define and review data mappings, batch and investigation context, master-data needs, interface specifications, and data-quality controls needed for quality reporting, analytics, and AI use cases.
• Help deliver quality analytics and AI use cases, such as AI-assisted investigation and root-cause analysis, anomaly and trend detection, predictive quality, and quality decision support, by assessing data readiness, workflow fit, evaluation criteria, and human-in-the-loop review, governance, and controls.
• Work with client quality and validation teams to reflect applicable GxP/GMP, data-integrity, electronic-records-and-signatures, controlled-change, and validation or risk-based assurance requirements, including audit trails and traceability, 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 quality, QA/QC, manufacturing, laboratory, MS&T, supply chain, IT, data, and technology-vendor teams; expedite 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

Leadership

Client-facing

Quality systems

Digital quality

Education

Bachelor’s degree in life sciences or related

Tools

eQMS/QMS

LIMS

MES/MOM

ERP

Data analytics tools

Job description

EY is seeking a Life Sciences Manufacturing Quality Manager to lead technology-enabled transformation across quality systems, data, AI, and delivery in regulated environments. The role focuses on strengthening QA/QC, inspection readiness, and product quality within manufacturing and laboratory operations.

The manager will steer workstreams from assessment through implementation, collaborating with client teams and senior EY leaders, while ensuring data integrity and validation across eQMS/QMS,