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, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at www.analog.com and on LinkedIn and Twitter (X).

Senior Manager, Production – Fab Operations

The Camas Wafer Fab is a growing 150mm, high‑volume, 24x7 manufacturing facility producing leading‑edge precision ICs in support of ADI’s diversified semiconductor business.

Reporting to the Wafer Fab General Manager, the Senior Manager, Production – Fab Operations will lead our ~300‑employee Production organization—including Production Managers, Supervisors, Trainers, 5S & Continuous Improvement, New Product Technicians, Leads, and Operators—who execute day‑to‑day manufacturing, testing, and shipping of a broad product portfolio as the fab continues to ramp, expand, and modernize a facility with over 25 years of operational history.

Apply now for the opportunity to grow your career and help innovate ahead of what’s possible.

JOB DUTIES

The Senior Manager, Production – Fab Operations is a senior operations leader responsible for translating site strategy into strong operational execution. Responsibilities are aligned to three core competency areas:

Operational & Strategic Execution

• Translate site and enterprise manufacturing strategies into actionable operational plans for the Production organization, aligned with objectives for safety, quality, productivity, cost, talent development, and sustainability.
• Lead the execution of production improvement roadmaps, supporting longer‑term digital transformation, automation, and modernization initiatives defined at the site level.
• Drive adoption of data‑driven and AI‑enabled decision making within production operations, leveraging analytics, automation, and machine‑learning‑based insights to improve daily execution and performance stability.
• Support change management efforts associated with new technologies, digital tools, demand shifts, and new product introductions, ensuring disciplined adoption on the production floor.
• Share and apply best‑known methods from across ADI’s manufacturing network to continuously elevate production performance.

Operational Excellence

• Maintain a safe and healthy work environment by enforcing organizational standards, adhering to 5S principles, and complying with ADI policies, legal requirements, and regulatory standards.
• Own day‑to‑day production quality performance, applying a zero‑defect mindset using traditional quality methodologies (8D, 5‑Why, SPC) and AI‑assisted defect detection, yield analysis, and trend identification.
• Lead execution of production plans that deliver short‑term tactical results while driving continuous improvement across Safety, Quality, Productivity, Cost, and Efficiency metrics.
• Utilize predictive and prescriptive analytics, where applicable, to anticipate equipment issues, process drift, capacity constraints, and safety risks before they impact performance.
• Provide clear tactical direction through written reports, dashboards, presentations, daily operational reviews, all‑hands meetings, and shift‑level stand‑ups, ensuring decisions are grounded in accurate, timely data.
• Lead capacity modeling, scenario analysis, and demand response activities within the production organization, partnering with site leadership on longer‑range planning.
• Partner closely with Supply Chain to optimize wafer starts, cycle time, and scheduling, balancing customer demand with fab constraints and operational risk.
• Participate in internal and external audits to ensure compliance, business continuity, and continuous improvement, including adherence to ADI’s responsible and ethical use of AI in manufacturing operations.
• Support the development and ramp of new products and non‑standard fabrication requirements while maintaining safe, stable, and predictable production output.
• Ensure effective cross‑training programs and skills matrices are in place, leveraging digital tools to improve workforce flexibility and readiness.

Effective Team Leadership

• Lead recruiting, hiring, onboarding, and training efforts for the Production organization, aligning staffing plans with quarterly and longer‑range production needs.
• Foster a culture of engagement, accountability, and continuous improvement through proactive communication, coaching, and visible leadership presence across all shifts.
• Develop production supervisors and frontline leaders capable of operating in an increasingly digital, automated, and data‑driven manufacturing environment.
• Execute effective performance management processes to improve team continuity, leadership capability, and operational results.
• Partner with Human Resources to support competency development, technical capability building, and training plans aligned with future manufacturing needs.
• Ensure alignment with ADI Enterprise Excellence Guiding Principles, emphasizing safety, quality, operational rigor, and responsible innovation.

SCHEDULE

This is an exempt role, working on‑site in Camas, Washington, primarily Monday through Friday, supporting a 24x7 continuous operation.
Occasional night or weekend hours are required to support operational needs.

Minimum Qualifications

• Bachelor’s degree in Business, Engineering, or a related field required; technical or engineering degree strongly preferred.
• 8+ years of leadership experience in high‑volume wafer fabrication or advanced manufacturing operations.
• Demonstrated success leading large production teams through supervisors and frontline leaders.
• Strong communication and interpersonal skills, with proven effectiveness in a data‑driven, metrics‑based operating environment.
• Solid working knowledge of manufacturing and business systems (ERP/MRP, MES, dispatching, capacity planning, Microsoft Office).
• Demonstrated ability to apply analytics, digital tools, and emerging AI/ML capabilities to improve safety, quality, productivity, and cost performance.
• Strong problem‑solving skills, operational discipline, and passion for continuous improvement.

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.

Analog Devices is an equal opportunity employer. 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.

• 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.