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Automation Engineering Manager, Manufacturing M19

Job Description - Automation Engineering Manager, Manufacturing M19

Description

Responsibilities:

As the Automation Engineering Manager, Manufacturing, you will lead and manage a team which will create, execute, and administrate automation and applications within the Manufacturing Engineering department. Goal is to digitally transform and automate operations in manufacturing maintaining data integrity and product quality.

 

  • Administer and lead deployment of Manufacturing Execution System (MES)

  • Harvest process and manufacturing data for reporting such as yield, cycle times, productivity.

  • Lead design and deployment of data warehousing, dashboards, and automated equipment.

  • Create a controlled environment for applications development and release from proto phase through manufacturing phase (Software Lifecycle Management) within 6 months of joining team.

  • Lead creation of workflows and/or programs in manufacturing to automate solutions such as automatic label printing.

  • Configure and develop solutions using Databases (Oracle, SQL Server, etc.) and programming skills (such as C#, .NET, JavaScript, JSON)

  • Lead change management, train end-users, and ensure ongoing system reliability
  • Ensure MES solutions comply with GMP, MIL and ISO9001/AS9100 standards.
  • Lead a high performing automation team responsible for improving manufacturing productivity

  • Conduct regular system audits and upgrades as necessary

  • Integrate ERP, PLM, Payroll systems with MES system

  • Lead and implement automated data integration with equipment/MES

 

 

Qualifications – External/internal:

  • Strong understanding of APIs, system integration, and cloud platforms (AWS, GovCloud, Azure, GCP)
  • SQL fluency is a must. Hands-on experience with using SQL to pull data for complex analytics
  • 10+ years’ experience with SW and/or Automation projects
  • Good working knowledge of MS Office applications: Word, Excel, Power, Access, Visio, and Project
  • Hands-on experience with AI/ML tools such as OpenAI, Azure AI, etc.
  • Interpersonal skills promoting effective interaction with other staff, customers, and suppliers.
  • Knowledge of Quality Management Systems and practices a must. 
  • 5+ Experience with Aegis and/or Oracle MES systems a plus
  • Experience with Kaizen and continuous improvement tools a plus

 

Education and Experience:

  • B.S. Degree in Mechanical Engineering, Computer Science, Software Engineering, Data Analytics, and/or Math

 

Benefits:

  • PTO

  • 401K

  • Health Insurance (medical, dental, optical)

  • Tuition reimbursement

  • Parental leave (mothers, fathers, and adoptive parents)

 

In addition to the benefits, you’d expect we also offer flexibility, stability, and prosperity:

  • A bonus payment for all associates, paid quarterly, based on performance and behavior metrics.

  • 70 years of trend setters & trail blazers with new products.

  • Promote from within culture.

  • Opportunity to move vertically or laterally.

  • A culture where we all have a role in building a community where everyone belongs. Where you can speak your mind, be yourself, and feel supported. It’s how we achieve more together, for each other, for our customers, and for the world. 

  • A team that you can depend on every day & like each other enough to hang out after work.



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