Life Sciences Manufacturing Transformation Lead (AI & Data)

EY

Akron (OH)

Teletrabalho

USD 181 000 - 375 000

Tempo integral

Há 4 dias

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Resumo da oferta

EY is seeking a Senior Manager in Supply Chain Manufacturing to lead transformation programs for pharmaceutical, biotechnology, and medical-device manufacturers, from problem definition through value realization. You will work across manufacturing, quality, engineering, and technology teams to connect plant operations with enterprise systems and data.

The role is techno-functional, focusing on regulated environments, MES/MOM, automation, data, and AI.

Qualificações

Bachelor’s degree in engineering, life sciences, manufacturing, supply chain, information systems, business, or related field.
No less than 10+ years of relevant experience spanning Life Sciences manufacturing, manufacturing technology, operational excellence, AI, or related fields.
Experience leading complex manufacturing transformation or technology-enabled improvement initiatives in regulated environments.
Experience delivering client-facing programs through design, implementation, deployment, and stabilization with governance and risk accountability.
Experience leading senior stakeholders and multidisciplinary teams across business, data, and technology workstreams.
Experience translating manufacturing requirements into process, system, data, and integration requirements with traceability.
Practical understanding of GxP manufacturing and data integrity considerations for digital solutions.
Ability to travel as needed; travel can range from 80-100%.

Responsabilidades

Lead end-to-end Life Sciences manufacturing transformations from assessment to value realization.
Build trusted relationships with senior stakeholders across multiple functions.
Translate priorities into practical workplans with measurable outcomes.
Direct multidisciplinary teams across design, automation, data engineering, AI, and integration.
Lead solution and process design for batch and discrete execution, eDHRs, recipes, and routings.
Guide integration across MES/MOM, ERP, LIMS, QMS, historians, SCADA, and cloud platforms.
Establish data foundations with master data, lineage, governance, and IT/OT connectivity.
Shape analytics and AI use cases, assess data readiness and risks before scaling.
Partner with quality/validation teams to incorporate GxP controls and data integrity.
Manage scope, schedule, budget, staffing, risks, and acceptance testing; enable deployment.
Connect digital solutions to daily management and sustained improvement.
Develop teams and reusable methods; identify follow-on opportunities.