Life Sciences Manufacturing Transformation Lead — AI Delivery

EY; Atlanta (GA); Remoto; USD 150.000 - 260.000; Tempo pieno

Descrizione del lavoro

EY in the United States seeks a Manager in Supply Chain Manufacturing for Life Sciences to lead technology-enabled transformation across plant processes, quality, and supply reliability, blending manufacturing know-how with data, AI, and delivery skills in regulated environments.

You will coordinate cross-functional teams, translate plant-floor needs into actionable requirements, define designs, manage data interfaces, and drive analytics and AI use cases while ensuring GxP compliance and

Competenze

• Bachelor’s degree or higher in a relevant field is typical but not specified in the excerpt.

Mansioni

• 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/edge platforms with architecture, automation, and cybersecurity teams.
• 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.
• Help deliver analytics and AI use cases, such as process monitoring, predictive maintenance, deviation investigation support, and decision support.
• Work with client quality and validation teams to reflect GxP, data-integrity, electronic-record, change-control, and validation/risk-based assurance requirements.
• Oversee configuration activities and lead testing, defect resolution, deployment readiness, training, cutover support, hypercare, and handover for your workstream.
• Facilitate sessions across manufacturing, quality, IT/OT, engineering, supply chain, and vendors; manage dependencies affecting the program.
• Manage workstream scope, schedule, resources, quality, and risks; contribute to estimates, proposals, and follow-on opportunities.
• Coach junior team members, review work products, and capture reusable requirements and design patterns.

Conoscenze

Life Sciences manufacturing

Digital/AI fluency

Stakeholder management

Regulated environments

Descrizione del lavoro

EY in the United States seeks a Manager in Supply Chain Manufacturing for Life Sciences to lead technology-enabled transformation across plant processes, quality, and supply reliability, blending manufacturing know-how with data, AI, and delivery skills in regulated environments.

You will coordinate cross-functional teams, translate plant-floor needs into actionable requirements, define designs, manage data interfaces, and drive analytics and AI use cases while ensuring GxP compliance and