Senior Life Sciences AI-Driven Manufacturing Delivery

EY

Cleveland (OH)

Teletrabalho

USD 97 000 - 195 000

Tempo integral

Há 4 dias

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Vantagens oferecidas por esta oferta de emprego

Medical and dental coverage

Pension and 401(k) plans

Paid time off

Resumo da oferta

EY in the United States seeks a Senior in Supply Chain Manufacturing to design, build, test, and deploy digital solutions for regulated plant operations, blending manufacturing knowledge with data, analytics, and AI-enabled workflows.

You will work with pharmaceutical, biotech, and medical-device clients through the delivery lifecycle—from assessments to deployment—collaborating with operators, quality teams, IT and data specialists to deliver compliant, actionable outcomes.

Qualificações

Bachelor’s degree in engineering, life sciences, manufacturing, information systems, computer science, supply chain, or a related discipline.
At least 3 years of relevant experience in Life Sciences manufacturing, manufacturing systems, automation, industrial data, systems implementation, technology consulting, or a related field.
Experience working with manufacturing or quality processes in a pharmaceutical, biotechnology, medical-device, or comparably regulated environment.
Experience producing technical or functional delivery artifacts, such as requirements, process maps, data mappings, interface specifications, configuration documents, test scripts, or deployment materials.
Experience collaborating with both operational stakeholders 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%.

Responsabilidades

Assess manufacturing and quality workflows, user needs, system interfaces, equipment data, and current-state pain points through site observations, interviews, workshops, and data review.
Document process flows, user stories, functional requirements, data mappings, interface requirements, controls, and acceptance criteria for digital manufacturing solutions.
Support the design and implementation of capabilities such as MES/MOM, electronic batch records and eDHRs, recipe and routing management, batch and unit genealogy, and plant performance reporting.
Trace information across MES/MOM, ERP, LIMS, QMS, historians, SCADA, DCS/PLC, and asset-management platforms; identify data gaps and integration dependencies.
Develop and review equipment and batch hierarchies, source-to-target mappings, data-quality rules, and contextualized datasets with manufacturing, automation, and data specialists.
Work with solution architects and engineers on interface specifications, APIs, industrial connectivity, and data movement between plant, edge, and enterprise environments.
Configure or prototype solution components and document design decisions for review by technical and client leads.
Prepare and execute functional and integration test scripts, record defects, support resolution and retesting, and maintain traceability between requirements and test evidence.
Support deployment readiness, cutover, user training, hyper-care, and handover by preparing clear technical documentation and responding to issues from plant users.
Partner with client quality and validation teams to prepare or review documentation concerning GxP, data integrity, electronic records, change control, and computer system validation or risk-based assurance.
Contribute to analytics and AI use cases by assessing source-data quality, defining manufacturing context, checking outputs against workflows, and documenting where human review is needed.
Communicate progress, risks, dependencies, and recommended next steps to client counterparts and engagement leaders; coordinate defined tasks with junior colleagues when needed.