Senior Manager Production, Manufacturing Operations

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.

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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…