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

EY; Tallahassee (FL); Remote; USD 120,000 - 160,000; Full time

Job summary

EY is seeking a Manager in Supply Chain Manufacturing to lead technology-enabled transformation workstreams for Life Sciences manufacturers. You will guide projects from assessment through implementation and stabilization, translating plant-floor needs into actionable requirements and delivering measurable improvements.

The role combines manufacturing know-how with digital and delivery skills, working with senior engagement leaders on cross-program decisions and commercial matters.

Qualifications

• Client-facing Life Sciences manufacturing experience.
• Ability to translate plant-floor needs into functional requirements.

Responsibilities

• Lead client-facing workstreams in Life Sciences manufacturing transformation with 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 and data analysis.
• Translate priorities into process designs, requirements, acceptance criteria and measurable improvements.
• Develop functional designs for capabilities such as batch execution, electronic batch records, recipe management and performance management.
• Coordinate integration requirements across MES/MOM, ERP, LIMS, QMS, historians, SCADA, DCS/PLC and cloud/edge platforms with architecture, automation and cybersecurity specialists.
• Define and review data mappings.

Job description

Location: Anywhere in CountryAt EY, we’re all in to shape your future with confidence.We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

Role Snapshot

Client-facing Life Sciences manufacturing Manager who leads technology-enabled transformation workstreams that improve plant performance, quality, compliance, and supply reliability. The role combines practical manufacturing knowledge with digital, data, AI, and delivery skills to turn operational needs into solutions that work in regulated environments.

The Opportunity

As a Manager in Supply Chain Manufacturing, you will work with pharmaceutical, biotechnology, and medical-device manufacturers to improve how production, quality, laboratory, engineering, and technology teams operate together. You will lead defined workstreams from assessment and requirements through solution design, implementation, testing, adoption, and stabilization.

This is a techno-functional delivery role. You will facilitate decisions with client teams, translate plant-floor needs into actionable requirements, coordinate functional and technical specialists, and take ownership of the quality and progress of your workstream. You will contribute to broader program planning and value realization while working with senior engagement leaders on cross-program decisions and commercial matters.

Your key responsibilities

In this role, you will:

• 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 relevant 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