Manufacturing Data Lead

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 $12 billion in FY22 and approximately 25,000 people globally working alongside 125,000 global customers, ADI ensures today’s innovators stay Ahead of What’s Possible.

ADI’s Central AI team develops next-generation AI technology that transforms our understanding of the physical world.  We develop solutions at multiple tech stack layers, from AI-enabled software applications to deeply embedded AI algorithms.  Our mission is to build the Intelligent Edge, where AI transforms how we solve challenging problems by combining deep application knowledge, close customer relationships, extraordinary data, advanced circuits, and breakthrough algorithms.

We're looking for engineers who bring expertise across the AI space, including ML platform design, cloud hosted AI services, foundational AI models, LLMs, Edge AI, and cutting-edge AI research; our list of breakthrough products and technologies is growing at a rapid pace.  Central AI is critical to ADI’s future and presents opportunities to select from a variety of project areas as you and our AI-driven business grow. Finally, we need our team to be versatile, willing to take risks, able lead projects quickly, and be enthusiastic about new technologies and solutions.

Preferred Locations: San Jose, CA or Wilmington, MA

Secondary Locations: Raleigh, NC, Dallas TX or Beaverton, OR

Responsibilities 

• As ADI’s Manufacturing Data Lead, you will be responsible for leading the modernization, accessibility, and connectivity of ADI’s manufacturing data.

• Partner with the manufacturing and supply chain organizations to understand their data and analytics needs and develop a strategy and data architecture to address them.

• Work with our internal and external fabs to collect, secure, and syndicate their data to enable new analytics, AI/ML applications, and business process optimization.

• Guide the expansion of our data products and solutions by advising and influencing business leaders and senior stakeholders with data-driven insights.

• Drive cross-domain data connectivity by working with Sales, Finance, and Engineering to integrate the manufacturing data strategy into a cohesive corporate strategy.

• Build scalable data models, drive data ownership, and set up data engineering practices and pipelines to deliver robust, high-quality data products.

• Work with AI/ML teams to enable fast experimentation and deployment of AI solutions, both within manufacturing and across the enterprise.

• Communicate the value of data clearly by articulating both the high-level concept and detailed user stories for feature enhancements and convince teams to adopt data-driven improvements.

Qualifications

• 10+ years of experience in engineering, including 5+ years working in data engineering or data management.

• 5+ years leading technical teams and managing complex data projects and pipelines.

• Degree in Computer Science, Electrical Engineering, Computer Engineering, Industrial Engineering, or a related field. 

• Experience with large-scale manufacturing or supply chain processes and the associated data and analytics challenges.  Experience in the semiconductor space is a plus.

• Deep knowledge data ownership, data catalogs, master data management, and unstructured data management (e.g., images, text, etc.).

• Experience defining and managing data products, including ownership of data products through their entire lifecycle.

• Experience with modern data and analytics tech stacks.

• A confident influencer with strong communication skills who quickly establishes credibility and is capable of leading cross-functional teams.

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