Senior Manager, Manufacturing IT

About Analog Devices

Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at www.analog.com and on LinkedIn and X.

As Senior Manager, Manufacturing IT – Camas (ADCS), you will lead Manufacturing IT for ADI’s semiconductor wafer fab based in Camas, Washington, ensuring stable, scalable, and high-performing systems that directly enable 24x7 production.

Responsibilities:

• Own end-to-end accountability for manufacturing systems at Camas, including MES (PROMIS), automation platforms, and factory data systems, ensuring uninterrupted fab operations.

• Lead the Camas Paperless Factory transformation, driving elimination of manual travelers, deployment of digital workflows, mobile devices, and automation of production execution.

• Drive fab automation and efficiency initiatives, including tool automation improvements, barcode-based tracking, operator workflow automation, and reduction of manual touchpoints to improve cycle time and labor productivity.

• Provide site-level operational leadership, ensuring rapid response to system incidents, strong recovery processes (including post-idle validation), and prevention of recurrence for production-impacting issues.

• Act as a key leader within the global Manufacturing IT organization, contributing to strategy, driving cross-site initiatives, and ensuring Camas both influences and adopts enterprise capabilities in areas such as automation, paperless manufacturing, data platforms, and AI.

• Partner with Fab, Supply Chain, Quality, Engineering, and IT to translate fab priorities into IT execution, supporting increased starts, product transfers, and capacity expansion.

• Lead and prioritize concurrent critical programs, including system migrations, MES enhancements, automation releases, and infrastructure improvements impacting fab operations.

• Ensure robust PROMIS and multisite integration capability, supporting lot movement, cross-site transfers, and synchronization across ADI’s manufacturing network.

• Drive standardization and alignment with enterprise Manufacturing IT strategy to support ADI’s Global Operations & Technology (GO&T) organization, balancing site-specific needs with global platform consistency.

• Establish strong governance and demand management, ensuring clarity of priorities across automation, paperless, and system enhancements.

• Build and lead a high-performing team, leveraging both site resources and global support teams, driving execution discipline and accountability.

• Champion data-driven manufacturing, improving visibility, diagnostics, and analytics tied to fab performance.

• Drive adoption of advanced analytics, machine learning, and emerging agentic AI capabilities to enable real-time decision-making, automate factory workflows (e.g., excursion triage, lot disposition, tool optimization), and improve yield, cycle time, and operational resiliency, aligned with ADI’s broader smart factory and AI strategy.

• Ensure compliance with cybersecurity, SOX controls, and data governance, maintaining a secure and resilient manufacturing environment.

Qualifications

• 5+ years of experience in people leadership roles, managing and developing highly technical teams in a 24x7 manufacturing or mission-critical IT environment, with demonstrated accountability for delivery, operational performance, and team development.

• Experience with tier-1 semiconductor manufacturing systems: MES, SPC, APC, FDC, RTD, CMMS and integration technologies.

• Strong SQL skills, with hands-on experience querying and analyzing data in relational databases to support business and quality use cases.

• Basic knowledge of messaging protocols such as JMS message bus and AMQ.

• Familiarity with cobots and/or autonomous mobile robots.