Analog Devices
Overview
Senior Manager, Data & Analytics at Analog Devices. About 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. Job Details
Employer:
Analog Devices, Inc. Job Title:
Senior Manager, Data & Analytics Job Requisition:
R255434 Job Location:
San Jose, California Job Type:
Full Time Rate of Pay:
$275,850.00 - $293,250.00 per year Responsibilities
Manage, lead, and mentor a team of data engineers, AI/Machine Learning experts, and semiconductor data scientists. Define, and execute the technical strategy for AI-driven yield optimization, defect detection, and semiconductor process automation. Collaborate with business leaders, chip designers, and manufacturing engineers to drive innovation using data and AI. Architect and oversee big data pipelines and real-time analytics frameworks to process semiconductor manufacturing data. Develop AI/ML models for predictive maintenance, defect classification, and process optimization. Apply mathematical modeling, machine learning, and optimization techniques to develop AI-driven solutions for semiconductor supply chain management, inventory optimization, and financial forecasting. Develop product pricing algorithms and strategies, establishing both immediate and strategic projects to unlock valuable insights from data. Implement advanced statistical and artificial intelligence methods to enable enterprise-wide data-driven decision-making across various domains, including financial processes, pricing, supply chain management, inventory management, engineering systems, human resources, and business risk assessment. Partial telecommute benefit (2 days/week work from home). Qualifications
Requirements:
Must have a Bachelor’s degree in Electronics and Communication Engineering or closely related field (willing to accept foreign education equivalent) and five (5) years of experience in job offered or closely related occupation developing AI-driven automation and optimizing semiconductor manufacturing using data engineering analytics. Additional Experience Requirements: Demonstrated Expertise (DE) using big data frameworks (Hadoop, Spark, and Databricks), AI/ML platforms (TensorFlow, PyTorch, and Scikit-learn), and cloud technologies (Azure, GCP, or AWS) to drive data-driven insights and innovation in semiconductor analytics; Demonstrated knowledge in semiconductor manufacturing, wafer processing, chip design, and embedded computing, enabling optimization of production processes and performance enhancements; DE in SQL, NoSQL, Python, R, MATLAB, and real-time streaming technologies like Kafka and Flink to develop scalable data solutions and real-time analytics for semiconductor applications; DE leveraging cloud platforms (GCP, Azure, or AWS), Snowflake, DBT, big data tools (Hadoop, Spark, and Kafka), and AI frameworks (TensorFlow, PyTorch, and Scikit-learn) to optimize semiconductor analytics; and DE researching and implementing advanced AI/ML methodologies to enhance semiconductor yield, wafer defect analysis, and chip performance prediction. Contact: Eligible for employee referral program. Apply online at https://www.analog.com/en/about-adi/careers.html and Reference Position Number: R255434. Export licensing review may be required for positions with access to technical data; U.S. export controls may apply. Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of race, color, religion, age, ancestry, national origin, sex, sexual orientation, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, or any other legally protected status. EEO is the Law: Notice of Applicant Rights Under the Law. Benefits
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 and includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits. Seniority level: Mid-Senior level Employment type: Full-time Job function: Information Technology Industries: Semiconductor Manufacturing
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Senior Manager, Data & Analytics at Analog Devices. About 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. Job Details
Employer:
Analog Devices, Inc. Job Title:
Senior Manager, Data & Analytics Job Requisition:
R255434 Job Location:
San Jose, California Job Type:
Full Time Rate of Pay:
$275,850.00 - $293,250.00 per year Responsibilities
Manage, lead, and mentor a team of data engineers, AI/Machine Learning experts, and semiconductor data scientists. Define, and execute the technical strategy for AI-driven yield optimization, defect detection, and semiconductor process automation. Collaborate with business leaders, chip designers, and manufacturing engineers to drive innovation using data and AI. Architect and oversee big data pipelines and real-time analytics frameworks to process semiconductor manufacturing data. Develop AI/ML models for predictive maintenance, defect classification, and process optimization. Apply mathematical modeling, machine learning, and optimization techniques to develop AI-driven solutions for semiconductor supply chain management, inventory optimization, and financial forecasting. Develop product pricing algorithms and strategies, establishing both immediate and strategic projects to unlock valuable insights from data. Implement advanced statistical and artificial intelligence methods to enable enterprise-wide data-driven decision-making across various domains, including financial processes, pricing, supply chain management, inventory management, engineering systems, human resources, and business risk assessment. Partial telecommute benefit (2 days/week work from home). Qualifications
Requirements:
Must have a Bachelor’s degree in Electronics and Communication Engineering or closely related field (willing to accept foreign education equivalent) and five (5) years of experience in job offered or closely related occupation developing AI-driven automation and optimizing semiconductor manufacturing using data engineering analytics. Additional Experience Requirements: Demonstrated Expertise (DE) using big data frameworks (Hadoop, Spark, and Databricks), AI/ML platforms (TensorFlow, PyTorch, and Scikit-learn), and cloud technologies (Azure, GCP, or AWS) to drive data-driven insights and innovation in semiconductor analytics; Demonstrated knowledge in semiconductor manufacturing, wafer processing, chip design, and embedded computing, enabling optimization of production processes and performance enhancements; DE in SQL, NoSQL, Python, R, MATLAB, and real-time streaming technologies like Kafka and Flink to develop scalable data solutions and real-time analytics for semiconductor applications; DE leveraging cloud platforms (GCP, Azure, or AWS), Snowflake, DBT, big data tools (Hadoop, Spark, and Kafka), and AI frameworks (TensorFlow, PyTorch, and Scikit-learn) to optimize semiconductor analytics; and DE researching and implementing advanced AI/ML methodologies to enhance semiconductor yield, wafer defect analysis, and chip performance prediction. Contact: Eligible for employee referral program. Apply online at https://www.analog.com/en/about-adi/careers.html and Reference Position Number: R255434. Export licensing review may be required for positions with access to technical data; U.S. export controls may apply. Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of race, color, religion, age, ancestry, national origin, sex, sexual orientation, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, or any other legally protected status. EEO is the Law: Notice of Applicant Rights Under the Law. Benefits
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 and includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits. Seniority level: Mid-Senior level Employment type: Full-time Job function: Information Technology Industries: Semiconductor Manufacturing
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