QA Lead – Manufacturing & Supply Chain (MES) - Remote

OMG Technology • Mahwah, NJ

9d • Remote

About The Position

We are looking to hire a candidate with the skills sets mentioned and experience for one of our clients within the pharmaceutical Industry. This is a 6+ month contracting role, with potential for extension. This is a Remote role. We are seeking an experienced QA Lead with a strong background in manufacturing and supply chain operations, with a primary focus on quality. This role requires a deep understanding of end-to-end manufacturing processes from shop floor operations to final product delivery and the ability to ensure quality across systems and workflows. Experience with MES (Manufacturing Execution Systems) and exposure to AI-driven quality or process improvements is highly desirable.

Requirements

• 10+ years of experience in QA, with a strong focus on manufacturing and supply chain environments.
• Hands-on understanding of shop floor operations and end-to-end manufacturing processes.
• Experience working with MES systems is a MUST.
• Strong knowledge of quality assurance methodologies and testing frameworks.
• Familiarity with AI/ML implementations in manufacturing or quality functions.
• Ability to work independently in a remote environment.
• Strong analytical, problem-solving, and communication skills.
• Experience in regulated manufacturing environments.
• Exposure to digital transformation or smart manufacturing initiatives.

Nice To Haves

• MES (Manufacturing Execution Systems) experience is preferred.
• Exposure to AI-driven quality or process improvements is highly desirable.

Responsibilities

• Lead QA initiatives across manufacturing and supply chain systems, ensuring high standards of quality and compliance.
• Understand and validate end-to-end manufacturing workflows, from shop floor execution to downstream processes.
• Collaborate with cross-functional teams including operations, engineering, and IT to ensure quality alignment.
• Design and implement test strategies for manufacturing systems, including MES and supply chain platforms.
• Drive quality improvements and process optimization across manufacturing operations.
• Support and validate AI-based implementations within manufacturing or quality processes.
• Identify risks, gaps, and inefficiencies in systems and recommend improvements.
• Ensure adherence to industry standards and best practices in manufacturing QA.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed
• Number of Employees: 501-1,000 employees