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Salary
$96k – $161k per year
Location
In office (Santa Rosa)
Seniority
Middle · 3+ years exp
Visa
No sponsorship (stated in the posting)

Confirmed on the employer's own hiring board on Oct 29, 2026. First seen by Alion on Oct 28, 2026. Keysight scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Keysight is an American maker of electronic test and measurement equipment and software, spun off from Agilent Technologies in 2014. It sells oscilloscopes, network and signal analysers, and design and simulation software used in wireless, semiconductor, automotive and aerospace development, and acquired the French simulation firm ESI Group in 2024. The company is headquartered in Santa Rosa, California, United States.
Overview

Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~16,800 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.

Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

Responsibilities

The Technology Order Fulfillment (TOF) organization is transforming how it analyzes, plans, and operates its global supply chain by applying AI and advanced analytics within planning, supply chain, and operations functions. We are seeking an advanced-level Business Process team member who combines functional supply chain depth with practical AI and data skills. You will work with planners, operations, order fulfillment partners, fab teams, and IT to turn analytics into better decisions and faster execution that support Keysight growth.

Responsibilities

Planning and supply chain analytics

  • Build and maintain models for demand, supply, inventory, capacity, and lead-time analysis. Use statistical and machine learning methods (for example, forecasting, anomaly detection, and scenario analysis) to improve forecast accuracy, service levels, and working capital.
  • Analyze supply, demand, cost, and inventory data across sites to identify risks, constraints, and improvement opportunities, and recommend actions to planners and managers.
  • Support S&OP and planning cycles with data-driven insight, including supply-demand gaps, supplier and partner performance, and what-if scenarios.

Operations and fab analytics

  • Analyze manufacturing and fab performance, including cycle time, yield, WIP, throughput, and capacity, to troubleshoot issues and predict supply outcomes.
  • Provide internal customers with clear, current information on capacity, supply status, and lead times of semiconductor fab operations.
  • Support operations and supply chain projects, including planning tool, MES, and other supply chain initiatives, contributing requirements, testing, and process documentation.

AI-enabled process improvement

  • Identify and implement automation and agentic AI opportunities within planning, supply chain, and operations workflows, such as exception triage, automated reporting, and data-quality checks. Use approved AI tools, including generative AI, to reduce manual effort.
  • Program management from design, development, execution, and continual process improvement. Document current and future-state processes, define the KPIs that measure results, and track the business value delivered.
  • Monitor model and tool performance (accuracy, drift, adoption) and refine as needed, keeping a human in the loop for key decisions.
  • Extend AI-enabled planning and operations workflows onto Snowflake AI, building governed data products, AI-assisted analytics, and automated reporting that draw on Oracle ERP, planning, and MES data.

Data and collaboration

  • Improve data integrity and quality across internal supply chain nodes, partnering with data owners and IT on definitions, governance, and integration from Oracle ERP, planning systems, and MES.
  • Build dashboards and reports that give functional teams self-service insight.
  • Present findings and recommendations to cross-functional teams, and coach colleagues on using new analytical and AI tools.

Qualifications

Required

  • Bachelor’s degree in a technical field (mathematics, statistics, operations, information systems, engineering, or business with a technical focus).
  • 3 to 5 years of full-time experience in supply chain, planning, or operations analytics, preferably in a manufacturing environment.
  • Solid knowledge of supply chain concepts, planning processes, and manufacturing operations.
  • Proficiency in SQL and Excel, and working skill in Python for analysis and automation.
  • Experience applying statistical, machine learning, or optimization methods to business problems, and familiarity with generative AI tools in a business setting.
  • Ability to work with large, complex data sets and to build reports or dashboards in a BI tool.
  • Strong analytical, problem-solving, and communication skills, with the ability to explain technical results to non-technical partners.

Preferred

  • MBA or relevant master’s degree.
  • Oracle ERP, Oracle Business Intelligence, and Kinaxis Maestro (Rapid Response) experience.
  • MES, Advanced Scheduling and cost center or process center experience.
  • Semiconductor fab or discrete fabrication experience.
  • Experience with workflow automation, Snowflake AI, or other cloud data platforms.
  • LEAN, 6-Sigma and Continuous Process Improvement experience

Careers Privacy Statement Keysight is an Equal Opportunity Employer.

Santa Rosa, CA Pay Range: MIN $96,000.00 - MAX $161,000.00

Visa sponsorship is not available for this position.

This position requires access to certain goods, software, technology, or technical data subject to U.S. export control laws and regulations. Under these laws and regulations, U.S. persons (which includes U.S. citizens, U.S. nationals, lawful permanent residents, refugees, and asylees) working for Keysight can access export-controlled items without authorization from the U.S. government. For any individual who is not a U.S. person, Keysight may need authorization from the U.S. Department of State, U.S. Department of Commerce, or other appropriate federal agency before the individual can access export-controlled items. Employment in this position for non-U.S. persons is contingent on Keysight’s ability to obtain any required government authorizations.

The Technology Order Fulfillment (TOF) organization is transforming how it analyzes, plans, and operates its global supply chain by applying AI and advanced analytics within planning, supply chain, and operations functions. We are seeking an advanced-level Business Process team member who combines functional supply chain depth with practical AI and data skills. You will work with planners, operations, order fulfillment partners, fab teams, and IT to turn analytics into better decisions and faster execution that support Keysight growth.

Responsibilities

Planning and supply chain analytics

  • Build and maintain models for demand, supply, inventory, capacity, and lead-time analysis. Use statistical and machine learning methods (for example, forecasting, anomaly detection, and scenario analysis) to improve forecast accuracy, service levels, and working capital.
  • Analyze supply, demand, cost, and inventory data across sites to identify risks, constraints, and improvement opportunities, and recommend actions to planners and managers.
  • Support S&OP and planning cycles with data-driven insight, including supply-demand gaps, supplier and partner performance, and what-if scenarios.

Operations and fab analytics

  • Analyze manufacturing and fab performance, including cycle time, yield, WIP, throughput, and capacity, to troubleshoot issues and predict supply outcomes.
  • Provide internal customers with clear, current information on capacity, supply status, and lead times of semiconductor fab operations.
  • Support operations and supply chain projects, including planning tool, MES, and other supply chain initiatives, contributing requirements, testing, and process documentation.

AI-enabled process improvement

  • Identify and implement automation and agentic AI opportunities within planning, supply chain, and operations workflows, such as exception triage, automated reporting, and data-quality checks. Use approved AI tools, including generative AI, to reduce manual effort.
  • Program management from design, development, execution, and continual process improvement. Document current and future-state processes, define the KPIs that measure results, and track the business value delivered.
  • Monitor model and tool performance (accuracy, drift, adoption) and refine as needed, keeping a human in the loop for key decisions.
  • Extend AI-enabled planning and operations workflows onto Snowflake AI, building governed data products, AI-assisted analytics, and automated reporting that draw on Oracle ERP, planning, and MES data.

Data and collaboration

  • Improve data integrity and quality across internal supply chain nodes, partnering with data owners and IT on definitions, governance, and integration from Oracle ERP, planning systems, and MES.
  • Build dashboards and reports that give functional teams self-service insight.
  • Present findings and recommendations to cross-functional teams, and coach colleagues on using new analytical and AI tools.

Required

  • Bachelor’s degree in a technical field (mathematics, statistics, operations, information systems, engineering, or business with a technical focus).
  • 3 to 5 years of full-time experience in supply chain, planning, or operations analytics, preferably in a manufacturing environment.
  • Solid knowledge of supply chain concepts, planning processes, and manufacturing operations.
  • Proficiency in SQL and Excel, and working skill in Python for analysis and automation.
  • Experience applying statistical, machine learning, or optimization methods to business problems, and familiarity with generative AI tools in a business setting.
  • Ability to work with large, complex data sets and to build reports or dashboards in a BI tool.
  • Strong analytical, problem-solving, and communication skills, with the ability to explain technical results to non-technical partners.

Preferred

  • MBA or relevant master’s degree.
  • Oracle ERP, Oracle Business Intelligence, and Kinaxis Maestro (Rapid Response) experience.
  • MES, Advanced Scheduling and cost center or process center experience.
  • Semiconductor fab or discrete fabrication experience.
  • Experience with workflow automation, Snowflake AI, or other cloud data platforms.
  • LEAN, 6-Sigma and Continuous Process Improvement experience

Careers Privacy Statement Keysight is an Equal Opportunity Employer.

Santa Rosa, CA Pay Range: MIN $96,000.00 - MAX $161,000.00

Visa sponsorship is not available for this position.

This position requires access to certain goods, software, technology, or technical data subject to U.S. export control laws and regulations. Under these laws and regulations, U.S. persons (which includes U.S. citizens, U.S. nationals, lawful permanent residents, refugees, and asylees) working for Keysight can access export-controlled items without authorization from the U.S. government. For any individual who is not a U.S. person, Keysight may need authorization from the U.S. Department of State, U.S. Department of Commerce, or other appropriate federal agency before the individual can access export-controlled items. Employment in this position for non-U.S. persons is contingent on Keysight’s ability to obtain any required government authorizations.

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