MES Specialist – Life Sciences & AI-Driven Manufacturing

Accenture PLC; Carmel (IN); Remote; USD 39,000 - 90,000; Full time

Job summary

Accenture is seeking an ambitious Manufacturing Systems (MES) Specialist to drive digital manufacturing across the US. You will lead MES design, development, and validation, integrating with ERP and production controls, while ensuring GxP compliance and strong client collaboration.

You will work with management and users to define needs, document configurations, and respond to proposals. Travel up to 75% may be required, with a focus on delivering value in regulated environments.

Qualifications

• 3+ years using Apprentice.io MES in automated life sciences manufacturing.
• Experience with EBR design/validation.
• Travel up to 75% may be required.

Responsibilities

• Lead design, development, documentation, and implementation of Apprentice.io MES.
• Design/Author/Develop/Configure Electronic Batch Records (EBR).
• Implement MES solutions and integrate with ERP and control equipment.
• Documentation of MES configuration and validation of EBRs.
• Collaborate with management and users to define needs and design value-adding solutions.
• Analyze information needs and deliver solutions per GxP standards.
• Respond to client proposals.
• Manage and develop client relationships.

Skills

MES design

ERP integration

Documentation & EBR

Client relationships

GxP compliance

SDLC knowledge

Communication skills

Education

Bachelor's Degree or equivalent

Associate's Degree + 6 years experience

Tools

Apprentice.io MES

Job description

Accenture is seeking an ambitious Manufacturing Systems (MES) Specialist to drive digital manufacturing across the US. You will lead MES design, development, and validation, integrating with ERP and production controls, while ensuring GxP compliance and strong client collaboration.

You will work with management and users to define needs, document configurations, and respond to proposals. Travel up to 75% may be required, with a focus on delivering value in regulated environments.