Program Manager

Collaborate with key stakeholders from Smart Manufacturing, IT and Operations to ensure seamless integration aligned with the company wide roadmap. Emphasize program management – from project plan development to full implementation.

Responsibilities:

• Drive execution and provide leadership for quality programs leveraging automation, AI and smart technologies, while also extending support to other quality initiatives deployment as needed.
• Drive development and delivery of project plans and manage all implementation processes including resource allocation, progress tracking, monitoring change control process, testing, documentation, training and on-time delivery.
• Provide program status updates to leadership, ensuring alignment with quality and operational goals. Manage project timelines, resources and stakeholder communications across multiple sites. Drives risk mitigation and issue resolution efforts.
• Navigate cross-functional teams, cultural differences and external vendors in a global environment. Coordinate with other program manager to ensure strategic alignment.
• When required, to conduct process studies and feasibility assessments with stakeholders to identify and prioritize impactful solutions
• Manage quality data acquisition and advanced statistical implementation to support predictive failure detection and smart AVI/AOI inspection
• Support QI Team to oversee the development and integration of product traceability and error-proofing systems across manufacturing lines.
• Support deployment of automation tools (e.g., smart fixtures, jigs, poka-yoke systems) to reduce human error.

Experience & Skillsets:

• Bachelor’s or Master’s degree in Engineering, Industrial Automation, Computer Science or related field.
• PMP or equivalent project management certification is a plus.
• Minimum 8 years of experience in program or project management within EMS or manufacturing environments.
• Directs the application of existing principles and guides development of new policies and ideas.
• Vast experience in process engineering and exposure to smart manufacturing technologies and data analytic
• Understanding of IoT architecture and integration with factory systems.
• Familiarity with technologies for anomaly detection and human error prevention.
• Excellent problem-solving capabilities to address and resolve issues that face a growing enterprise.
• Strong Communications Skills, both Oral and Written, and be able to do participate and/or lead meetings. Possess strong analytical skills
• Strong experience in program management skills and process improvement in a high-volume manufacturing environment with proven ability to manage multiple demands successfully and within a matrixed organization.