Senior Manager, Manufacturing IT

What You'll Do

• 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.
• Knowledge of reporting frameworks and decision support systems.
• Knowledge of artificial intelligence and machine learning frameworks and capabilities.
• Experience with wafer manufacturing systems, including tool automation, SECS/GEM, recipe management, data pipelines and application support.
• Strong knowledge of semi-conductor Manufacturing Execution Systems like PROMIS, OpsCenter Familiarity with manufacturing data sources is a plus such as SPC, APC, FDC, MES, WAT, and Sort Data.
• Experience with application support, scripting, and backend logic with the ability to read, debug, and interpret existing code.
• Experience supporting or integrating Quality Management Systems (QMS) or related enterprise applications.
• Semiconductor manufacturing, quality, or reliability experience strongly preferred, including familiarity with concepts such as yield, defectivity, DPPM, reliability testing, and failure analysis.
• Proven ability to lead through ambiguity and drive large-scale transformation, balancing operational stability with execution of complex initiatives such as automation, paperless manufacturing, and system modernization.
• Experience working with globally distributed teams, including offshore development or support partners (India experience a plus).
• Ability to translate complex business needs into clear, actionable requirements and to communicate effectively with both technical and non-technical stakeholders.
• Bachelor’s degree in Information Systems, Engineering, Computer Science, or a related field, or equivalent practical experience.
• For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S.
• Department of Commerce - Bureau of Industry and Security and/or the U.S.
• Department of State - Directorate of Defense Trade Controls.
• As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.
• We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.
• EEO is the Law: Notice of Applicant Rights Under the Law .
• Job Req Type: Experienced Required Travel: Yes, 10% of the time Shift Type: 1st Shift/Days The expected wage range for a new hire into this position is $148,800 to $204,600.
• Actual wage offered may vary depending on work location , experience, education, training, external market data, internal pay equity, or other bona fide factors.
• This position qualifies for a discretionary performance-based bonus which is based on personal and company factors This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time , and other benefits.
• Benefits for the position includes 10 paid holidays per year, paid vacation starting at 136 hours per year for full-time employees (prorated for part-time employees), and paid sick time that exceeds the requirements of the Washington State Sick Leave law.