Manager, Equipment Vision Engineering (Onsite - Acton)

Job Summary

A visible technical and people-leadership role that shapes how a growing global medical-device manufacturer detects defects, protects quality, improves yield/OEE, standardizes inspection systems, and develops the engineering community behind those systems.



Company Overview

Insulet started in 2000 driven to achieve our mission of enabling our customers to enjoy simplicity, freedom and healthier lives through the use of our Omnipod® product platform. In the last two decades we have improved the lives of hundreds of thousands of patients who have insulin-requiring diabetes by using innovative technology that is wearable, waterproof, and lifestyle accommodating. We are on an exciting trajectory of significant growth and global expansion enabling us to reach more patients around the globe.

We are looking for highly motivated, performance driven individuals who want to be part of building our Center of Excellence and be at the forefront of our rapidly growing global footprint. We are looking to hire amazing people who are guided by shared values and desire to exceed customer expectations. Our continued success depends on it.

Position Overview

The Global Equipment Engineering Group showcases talented professionals, world-class technologies and innovative solutions that “power” the quality and performance of Insulet Corporation’s unique drug delivery devices. The Manager, Equipment Vision Engineering provides engineering and technical resource expertise in order to maximize the Automation Systems Group’s contribution to company performance. The Machine Vision Manager serves as one of the leaders of the technical community, working effectively and collaboratively with all technical disciplines and functions, both internally and externally, developing new technologies and processes for existing and new product production. This role is responsible to lead the machine vision and instrumentation group in design, build, and implementing the most cost-effective manufacturing machine vision and controls hardware and software to meet the automation needs of a very dynamic and technically challenging business.

As the Manager, Equipment Vision Engineering, you will lead prevention of quality issues in advance and maximize output (yield, OEE) through the establishment of inspection systems, management of inspection equipment maintenance, improvement of inspection equipment performance, and the introduction of new inspection equipment.

Responsibilities

· Establish and manage the machine inspection standards

· Drive and participate in machine vision solutions architecture and execution

· Drive vision inspection approach standardization across vendors, Engineering, and production machines

· Ensure compliance with FDA/health/safety/environmental regulations

· Develop and plan machine vision inspection machine performance model

· Analyze system breakdown or failure to improve false reject rate and determine route cause; identify and implement required improvements

· Communicate development schedule to production teams, leadership, and vendors regarding installation of vision system equipment

· Communicate with vendor support for programming vision systems.

· Perform and support validation post vision system upgrade and enhancements

· Review daily production reports on improvements and KPIs which is distributed to production teams and leadership

· Lead the development of the technician skills

· Coach and provide support to engineers and technicians across technical communities

· Conduct thorough and timely Layered Process Audits in appropriate work areas

Required Skills Competencies

• Machine Vision System Development Expertise
• Standard machine vision experience like Cognex and Keyence
• Ability to pick up and learn vendor created non camera based (PC based) vision systems. Several of our vendors develop their own PC-based vision systems.
• Demonstrated expertise in machine vision systems, inspection technologies, and manufacturing process optimization.
• Strong project management and cross-functional collaboration skills with the ability to drive results in a fast-paced manufacturing environment.
• Machine Performance Statistical Expertise (CPk, OEE, etc.)
• Comfort around higher management
• Ability to deal with ambiguity and make sound decisions
• Effective workflow and process management
• Planning skills and effective communication of priorities
• Delegation and directing teams to meet goals
• Facilities/Equipment related knowledge
• TPM and PM knowledge
• Six Sigma knowledge

Education and Experience

• Bachelor’s degree in engineering, Computer Science, Mechanical, Electrical or a related field with 10+ years of experience in machine vision applications within a manufacturing environment, or a Master’s degree with 5+ years of relevant experience.
• 3+ years of experience leading and managing multiple manufacturing, automation, or engineering processes simultaneously.
• 2+ years of people leadership experience, including coaching, developing, and managing team performance.

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