IT Director, Semiconductor Manufacturing & AI

Automatic Data Processing, Inc.; Tualatin (OR); On-site; USD 185,000 - 215,000; Full time

Job summary

Automatic Data Processing, Inc. seeks a Director of Information Technology to lead IT across Tualatin, OR, and Albany, OR.

This role directs strategic technology initiatives for a multi-site manufacturing environment in the semiconductor sector, driving AI-driven and analytics-enabled decision support. The leader will supervise ERP/MES/QMS/CRM, data governance, cybersecurity, and digital transformation while partnering with cross‑functional teams to improve throughput and quality.

Qualifications

• Bachelor’s degree in computer science, information technology, or a related field.
• Minimum ten years of experience managing IT operations, including leadership responsibilities.
• ITIL, PMP, CISSP, or other relevant certifications for IT governance and project management are preferred.

Responsibilities

• Provide strategic IT leadership across multiple sites to align technology with manufacturing goals.
• Oversee ERP, MES, QMS, CRM and data governance to improve production accuracy and traceability.
• Drive digital transformation, automation, analytics, and shop‑floor connectivity (MES, SPC, IoT).
• Establish disaster recovery and business continuity plans for critical systems.
• Partner with operations, engineering, quality, and finance to reduce downtime and improve yield.

Skills

Leadership

IT governance

Cross-functional collaboration

Education

Bachelor’s degree in CS/IT

MBA preferred

Tools

ERP

MES

QMS

CRM

Job description

Automatic Data Processing, Inc. seeks a Director of Information Technology to lead IT across Tualatin, OR, and Albany, OR.

This role directs strategic technology initiatives for a multi-site manufacturing environment in the semiconductor sector, driving AI-driven and analytics-enabled decision support. The leader will supervise ERP/MES/QMS/CRM, data governance, cybersecurity, and digital transformation while partnering with cross‑functional teams to improve throughput and quality.