Life Sciences Manufacturing Transformation Lead with AI

EY

Nashville (TN)

À distance

USD 150 000 - 375 000

Plein temps

Il y a 4 jours

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Résumé du poste

EY in the United States is seeking a Senior Manager in Supply Chain Manufacturing to lead life sciences transformation programs from assessment through value realization. You’ll connect plant operations with enterprise systems, guiding cross-functional teams in manufacturing, quality, and IT/OT, and shaping data, AI, and automation solutions in regulated environments.

The role emphasizes governance, risk management, and client relationships while delivering measurable improvements in yield,

Qualifications

Bachelor’s degree in engineering, life sciences, manufacturing, supply chain, information systems, business, or a related discipline.
10+ years of relevant experience spanning Life Sciences manufacturing, manufacturing technology, operational excellence, industrial data and AI, technology consulting, or a related field.
Experience leading complex manufacturing transformation or technology-enabled improvement initiatives in a pharmaceutical, biotechnology, medical-device, or comparably regulated environment.
Experience delivering client-facing programs through design, implementation, deployment, and stabilization, with accountability for governance, resources, quality, financial performance, and risk.
Experience leading senior stakeholders and multidisciplinary teams across business, functional, data, and technology workstreams.
Experience translating manufacturing requirements into process, system, data, integration, security, and technical requirements, with traceability through testing and deployment.
Practical understanding of GxP manufacturing and the quality, documentation, change-control, 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%.

Responsabilités

Lead end-to-end Life Sciences manufacturing transformations, from assessment and mobilization through design, deployment, stabilization, and value realization.
Build trusted relationships with senior manufacturing, quality, MS&T, engineering, supply chain, digital, and IT/OT stakeholders; establish governance and drive timely decisions.
Translate priorities such as yield, throughput, right-first-time execution, deviation reduction, batch-cycle time, asset reliability, and supply continuity into practical workplans and outcome measures.
Direct multidisciplinary teams across manufacturing process design, MES/MOM, automation, data engineering, AI, architecture, integration, quality, change management, testing, and deployment.
Lead solution and process design for batch and discrete execution, electronic batch records, electronic device history records (eDHRs), recipes and routings, material and product genealogy, review by exception, maintenance, quality workflows, and plant performance management.
Guide integration across MES/MOM, ERP, LIMS, QMS, historians, SCADA, DCS/PLC, asset-management systems, and relevant cloud or edge platforms.
Establish trusted manufacturing data foundations through appropriate data models, asset and process context, master data, metadata, lineage, governance, and secure IT/OT connectivity.
Shape analytics and AI use cases, such as process monitoring, predictive maintenance, deviation investigation support, digital twins, and decision support; assess their value, data readiness, workflow fit, and risks before scaling.
Partner with client quality and validation teams to incorporate applicable GxP controls, data integrity, electronic-record requirements, change control, and risk-based assurance into delivery plans.