Digital Plant Engineer

Digital Plant Engineer (USA)

Advanced Manufacturing Tech Solutions

Location:

Indiana, IN (Hybrid)

Duration:
Project-based role (2 years)

Minimum 2 weeks a month in Indiana during the first 6 months of the assignment, and minimum 1 week a month for the remaining project duration.

The Project Digital Engineer will work within the Automation Project Team to define the manufacturing system and data architecture for the project. The Digital Plant Engineer will collaborate with the Automation Project Team, Program Technical Office (PTO), Tech and End Users.

• Join the dots between Business, Technology, and Data architectures for the building.
• Represent the automation function in Digital Plant discussions and forums.
• Contribute to the Digital Strategy Plan for the project.
• Contribute to the Data Architecture for the project.
• Lead data flow mapping activities for the project.
• Contribute to delivery of the site-level data infrastructure (e.g., Aveva
  
  PI, Logmate, etc.).
• Contribute to the overall automation philosophy for the program. Support development of Digital Plant use cases.
• Communicate progress, issues, and needs to the Automation Project Manager.
• Provide technical consulting and support as part of the Automation Team.
• Interface with other disciplines and stakeholders to ensure project deliverables meet business needs.
• Maintain compliance with training and regulatory requirements.

• BS in Engineering (or equivalent experience).
• 7+ years of experience in data strategy/architecture within API or bulk pharmaceutical manufacturing.
• Automation experience in the pharmaceutical industry (preferably in API/drug substance manufacturing).
• Previous experience in the delivery of large-scale Automation Projects in the pharma industry.
• Preferable experience with Emerson Delta
  
  V Batch DCS.
• Preferable experience with MES systems.
• Preferable experience with Aveva PI.
• Strong teamwork and communication skills.
• Solid understanding of GMP, regulatory requirements, and computer system validation (CSV) principles.
• Excellent written and verbal communication skills, for both technical and non-technical audiences.

Full-time

Not Applicable

Engineering and Information Technology

Pharmaceutical Manufacturing