Life Sciences Supply Chain Manufacturing Ops & AI Transformation Delivery- Manager

What we look for

• We are looking for a Manager who is comfortable with plant-floor realities and capable of leading a mixed functional and technical team through implementation. The successful candidate will build trust with client counterparts, produce clear and usable delivery artifacts, recognize quality and technology risks early, and help turn digital and AI investments into sustainable manufacturing improvements.
• What we offer you At EY, we harness our collective strength to empower you to shape your future with confidence through professional growth, personal fulfillment and an inclusive culture. Learn more at ey.com/us/careers.
• The salary range for this job is:
• New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $154,000 to $256,700
• Bay Area California offices – $160,500 to $267,400
• All other offices locations in the US, including Sacramento – $128,400 to $235,300
• Individual salaries within these ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
• Are you ready to shape your future with confidence? Apply today.
• To make the most of your application experience, please limit yourself to two applications within a six-month period.
• EY accepts applications for this position on an on-going basis.
• For those living in California, please click here for additional information.
• At EY, our values set the foundation for how we work and the behaviors we expect of our people. Any misrepresentation or falsification of information or lack of integrity at any point in the recruiting process may result in withdrawal of your candidacy, revocation of an offer or immediate termination of employment.
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• EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
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• All in to shape the future with confidence.
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• Familiarity with batch and equipment data, data contextualization, APIs, historians, and industrial connectivity patterns relevant to the solution being delivered.
• Experience with drug substance, drug product, biologics, sterile manufacturing, medical devices, or clinical-to-commercial scale-up.
• Familiarity with ISA-88/IEC 61512, ISA-95/IEC 62264, OPC UA/IEC 62541, MQTT/Sparkplug, or unified-namespace approaches as relevant to client systems.
• Familiarity with Process Analytical Technology (PAT) and continuous improvement practices, including the use of manufacturing data to monitor process performance, identify variability, and improve quality, throughput, and operational performance.
• Experience with multi-site deployments, plant modernization, technology transfer, or the development of reusable solution assets.