Life Sciences Manufacturing Transformation Lead—AI & MES

EY; Westlake Village (CA); Remote; USD 150.000 - 391.000; Vollzeit

Zusammenfassung

EY in the United States seeks a Senior Manager to lead Life Sciences manufacturing transformations, connecting plant operations with enterprise systems and data. You will guide cross-functional teams, redesign processes, and deliver AI-enabled improvements in regulated environments.

You will manage scope, budget, and governance while driving adoption, with travel up to 100%. The role blends plant-floor credibility with analytics, data and automation to realize measurable value for clients.

Qualifikationen

• Bachelor's degree in engineering, life sciences, manufacturing, supply chain, information systems, business, or related field.
• 10+ years of Life Sciences manufacturing, technology consulting, or related experience in regulated environments.
• Experience leading complex manufacturing transformation initiatives in pharma/biotech/medical-device settings.
• Proven delivery accountability across governance, resources, quality, and risk.
• Ability to travel 80-100% as required.

Aufgaben

• Lead end-to-end Life Sciences manufacturing transformations from assessment to value realization.
• Build relationships with senior stakeholders and establish governance for timely decisions.
• Translate priorities into practical workplans with outcome measures.
• Direct multidisciplinary teams across process design, automation, data engineering, AI, and validation.
• Shape analytics/AI use cases with data readiness and risk assessments before scaling.
• Manage scope, schedule, budget, staffing, risk, and client engagement; drive adoption and handover.

Kenntnisse

Life Sciences manufacturing

Techno-functional leadership

Industrial data & integration

Executive communication

Delivery leadership

Travel 80-100%

Ausbildung

Bachelor's degree or higher

Tools

MES/MOM platforms

Jobbeschreibung

EY in the United States seeks a Senior Manager to lead Life Sciences manufacturing transformations, connecting plant operations with enterprise systems and data. You will guide cross-functional teams, redesign processes, and deliver AI-enabled improvements in regulated environments.

You will manage scope, budget, and governance while driving adoption, with travel up to 100%. The role blends plant-floor credibility with analytics, data and automation to realize measurable value for clients.