[Hiring] Senior Supply Chain Operations - Life Sciences Manufacturing Quality @EY

Role Description

Client-facing Life Sciences quality professional who helps design, build, test, and deploy digital solutions for regulated quality, laboratory, and manufacturing environments. The role combines practical knowledge of quality systems and QA/QC processes with hands-on skills in digital QMS, laboratory systems, data integration, analytics, and AI-enabled quality workflows.

As a Senior in Supply Chain Manufacturing Quality, you will work with pharmaceutical, biotechnology, and medical-device clients to connect Quality Assurance, Quality Control, laboratory, manufacturing, engineering, and supply chain needs with deployable technology. You will contribute across the delivery lifecycle, from quality-process and system assessments through requirements, solution design, configuration support, testing, validation, deployment, adoption, and stabilization.

You will work directly with Quality Assurance, Quality Control, laboratory, manufacturing, regulatory, IT, data, and technology-provider teams. You will own assigned technical and functional deliverables, help resolve implementation issues, and make clear recommendations to your workstream lead. The role calls for someone who can examine a quality or laboratory workflow, trace the records, data, instruments, and systems behind it, and translate what they learn into a compliant design or testable requirement.

Your key responsibilities

• Assess quality and laboratory workflows, user needs, system interfaces, instrument and equipment data, and current-state pain points through interviews, workshops, process observation, and data review.
• Document process flows, user stories, functional requirements, data mappings, interface requirements, quality-system controls, and acceptance criteria for digital quality solutions.
• Support the design and implementation of quality-domain capabilities spanning deviations and nonconformances, investigations, CAPA, change control, complaints, audits and inspection readiness, supplier quality, batch disposition and release, review by exception, and quality risk management.
• Design and improve digital-quality workflows using eQMS/QMS platforms, including workflow configuration, records management, approvals, escalation paths, effectiveness checks, reporting, and integration with adjacent enterprise systems.
• Connect QA/QC and laboratory processes across LIMS, eQMS/QMS, MES, ERP, chromatography and other laboratory data systems, and relevant manufacturing platforms; support assays, stability programs, OOS/OOT traceability, deviation and CAPA analysis, and batch-review workflows.
• Develop and review quality and laboratory data models, source-to-target mappings, data-quality rules, and contextualized datasets that relate quality events to products, materials, batches, methods, specifications, instruments, equipment, and process conditions.
• Work with solution architects and engineers on interface specifications, APIs, laboratory-instrument connectivity, and the secure movement of quality, laboratory, manufacturing, equipment, and process data across site and enterprise environments.
• Configure or prototype solution components where appropriate to your experience and the engagement, and document design decisions for review by quality, technical, and client leads.
• Prepare and execute functional and integration test scripts, record defects, support resolution and retesting, and maintain traceability between requirements, risks, controls, and test evidence.
• Support deployment readiness, controlled change, user training, hypercare, and handover by preparing clear documentation and responding to issues from quality and laboratory users.
• Partner with client quality and validation teams to prepare or review documentation addressing GxP/GMP, data integrity, electronic records and signatures, controlled change, validation or risk-based assurance, audit trails, and end-to-end traceability.
• Integrate and contextualize quality, laboratory, manufacturing, equipment, and process data to identify recurring events, detect trends, support root-cause analysis, and improve quality decision-making.
• Contribute to governed AI applications for Quality, including AI-assisted investigations and root-cause analysis, anomaly and trend detection, predictive quality, and decision support, with appropriate human-in-the-loop review, governance, and controls.
• Communicate progress, risks, dependencies, and recommended next steps to client counterparts and engagement leaders; coordinate defined tasks with junior colleagues when needed.

Qualifications

• Quality-domain expertise: Knowledge of deviations and nonconformances, investigations, CAPA, change control, complaints, audits, inspection readiness, supplier quality, batch disposition and release, review by exception, and quality risk management.
• Digital QMS skills: Hands-on functional, configuration, integration, testing, or support experience with eQMS/QMS platforms and digital-quality workflows.
• QA/QC and laboratory integration: Understanding of LIMS, assays, stability, specifications, OOS/OOT workflows, laboratory instruments, deviation and CAPA analysis, and the connections among QA, QC, manufacturing, and release.
• Quality data and integration skills: Ability to identify source systems, interpret quality and laboratory records, document mappings and interfaces, investigate data-quality issues, and contextualize information across quality, laboratory, manufacturing, equipment, and process domains.
• Delivery discipline: Ability to produce accurate requirements, design documents, test scripts, defect records, validation evidence, controlled-change documentation, and deployment materials, and to follow issues through resolution.
• Technical communication: Ability to discuss a quality or laboratory problem with a business user and document it clearly enough for a developer, data engineer, laboratory-systems specialist, validation lead, or tester to act on.
• GxP and quality-system controls: Working understanding of GxP/GMP, data integrity, electronic records and signatures, controlled change, validation or risk-based assurance, audit trails, and traceability.
• Analytical judgment: Ability to assess recurring events, trends, and potential root causes, and to evaluate whether analytics or AI outputs are supported by reliable data, appropriate controls, and human review.

Requirements

• A bachelor’s degree in life sciences, quality, engineering, information systems, computer science, supply chain, or a related discipline.
• At least 3 years of relevant experience in Life Sciences quality, Quality Assurance, Quality Control, laboratory systems, digital QMS, systems implementation, technology consulting, or a related field.
• Experience working with quality, laboratory, or manufacturing processes in a pharmaceutical, biotechnology, medical-device, or comparably regulated environment.
• Experience with one or more core quality processes, such as deviations, investigations, CAPA, change control, complaints, audits, supplier quality, batch disposition, release, or quality risk management.
• Experience producing technical or functional delivery artifacts, such as requirements, process maps, data mappings, interface specifications, configuration documents, test scripts, validation evidence, or deployment materials.
• Experience collaborating with quality, laboratory, operational, and technical delivery teams to investigate requirements, resolve issues, or implement a solution.
• Ability to travel as needed based on business and role requirements. 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.

Benefits

• Medical and dental coverage
• Pension and 401(k) plans
• A wide range of paid time off options

What we look for

We are looking for a Senior who enjoys getting close to quality and laboratory processes and the technology that supports them. The strongest candidates ask precise questions, produce dependable and inspection-ready work, recognize when data, control, or design assumptions do not hold up, and collaborate well with QA, QC, laboratory, manufacturing, validation, and technology teams to make solutions compliant, traceable, and usable in practice.

What we offer you

At EY, we harness our collective strength to empower you to shape your future with confidence through professional growth, personal fulfillment and an inclusive culture.

The salary range for this job is:

• New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $116,700 to $194,500
• Bay Area California offices – $121,600 to $202,600
• All other offices locations in the US, including Sacramento – $97,300 to $178,300

Individual salaries within these ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography.