Life Sciences Manufacturing & AI Transformation Manager

EY

San Mateo (CA)

Remote

USD 160,000 - 260,000

Full time

4 days ago

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Job summary

EY is recruiting a Manager in Supply Chain Manufacturing to lead technology-enabled transformation for Life Sciences manufacturing. You will drive defined workstreams from assessment through design, implementation, testing, adoption, and stabilization in regulated environments.

You will partner with pharmaceutical, biotech, and medical-device clients to align production, quality, laboratory, engineering, and technology teams, delivering measurable improvements while handling governance and risk

Qualifications

Bachelor's degree in engineering, life sciences, manufacturing, supply chain, information systems, business or a related discipline.
At least 7 years of relevant experience in Life Sciences manufacturing, manufacturing technology, operational excellence, industrial data and AI, technology consulting, or a related field.
Experience leading a client-facing manufacturing, digital, data, or technology workstream through design and at least one implementation or deployment phase.
Experience working in a pharmaceutical, biotechnology, medical-device, or comparably regulated manufacturing environment.
Experience translating manufacturing needs into process, functional, data, integration, or testing deliverables and coordinating business and technical contributors.
Practical understanding of GxP manufacturing and the documentation, change-control, quality, 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%.

Responsibilities

Lead client-facing workstreams in Life Sciences manufacturing transformation, with clear ownership of plans, deliverables, risks, decisions, and outcomes.
Assess current-state production and quality processes, user needs, system landscapes, data flows, performance gaps, and site constraints through workshops, data analysis, and plant engagement.
Translate priorities such as yield, throughput, right-first-time execution, batch-cycle time, deviation reduction, asset reliability, and supply continuity into process designs, requirements, acceptance criteria, and measurable improvements.
Develop functional designs for capabilities such as batch execution, electronic batch records, recipe management, genealogy, review by exception, connected-worker workflows, maintenance, and performance management.
Coordinate integration requirements across MES/MOM, ERP, LIMS, QMS, historians, SCADA, DCS/PLC, asset-management systems, and cloud or edge platforms, working with architecture, automation, and cybersecurity specialists.
Define and review data mappings, asset and batch context, master-data needs, interface specifications, and data-quality controls needed for reporting, analytics, and AI use cases.