Life Sciences Manufacturing Transformation Lead AI & Data

EY

Birmingham (AL)

Remote

USD 181,000 - 375,000

Full time

4 days ago

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Job summary

EY is seeking a Senior Manager in Supply Chain Manufacturing to lead techno-functional transformation programs for pharmaceutical, biotechnology, and medical-device manufacturers. You will connect plant operations with enterprise systems and data, and drive value realization through design and deployment of manufacturing execution, automation, and analytics solutions.

The role demands strong leadership, experience in regulated environments, and the ability to manage cross-disciplinary teams,

Qualifications

Bachelor’s degree in engineering, life sciences, manufacturing, supply chain, information systems, business, or a related discipline.
10+ years of relevant experience in Life Sciences manufacturing, manufacturing technology, or related field.
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, functional, data, and technology workstreams.
Experience translating manufacturing requirements into process, system, data, integration, security, and technical requirements with traceability through testing.
Practical understanding of GxP manufacturing and data integrity considerations for digital solutions.
Ability to travel 80-100% as needed.

Responsibilities

Lead end-to-end Life Sciences manufacturing transformations from assessment to value realization.
Build relationships with senior stakeholders across manufacturing, quality, engineering, and IT.
Translate priorities into practical workplans and measurable outcomes.
Direct multidisciplinary teams across design, automation, data engineering, AI, and deployment.
Shape design for batch and discrete execution, eDHRs, recipes and routings, and quality workflows.
Guide data integration across MES/MOM, ERP, LIMS, QMS, historians, and cloud platforms.
Establish data foundations with governance, lineage, and secure IT/OT connectivity.
Shape analytics and AI use cases and assess value, readiness, and risk.