Overview Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 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 powerful, award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. Diversity, equity & inclusion are integral parts of our culture and drivers of innovation at Keysight. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. The role is in Fixed Assets team of General Accounting & Reporting (GAR) within Corporate Controllership. The incumbent will be - Strong accounting and technical knowledge, understanding of Oracle system and Fixed Assets end to end process including but not limited to asset additions, adjustments and retirements, depreciation calculations of various entities across the globe in accordance with US GAAP and Local GAAP. Work with the team to perform monthly sub-ledger close activities and reconciliations. Use accounting and financial systems and tools to input data, generate reports, conduct specialized research projects, and respond to inquiries. Monitoring of processes and identification of improvement opportunities. Responsibilities The role is in Fixed Assets team of General Accounting & Reporting (GAR) within Corporate Controllership. The incumbent will be - Strong accounting and technical knowledge, understanding of Oracle system and Fixed Assets end to end process including but not limited to asset additions, adjustments and retirements, depreciation calculations of various entities across the globe in accordance with US GAAP and Local GAAP. Work with the team to perform monthly sub-ledger close activities and reconciliations. Use accounting and financial systems and tools to input data, generate reports, conduct specialized research projects, and respond to inquiries. Monitoring of processes and identification of improvement opportunities. Qualifications Careers Privacy Statement ***Keysight is an Equal Opportunity Employer.**MBA Finance/CA Inter with 3-4 years of experience in fixed assets accounting profile. Excellent Microsoft Excel and Power Point skills. Ability to prioritize tasks to meet deadlines. Should be a good team player. Strong communication and analytical skills. The role is in Fixed Assets team of General Accounting & Reporting (GAR) within Corporate Controllership. The incumbent will be - Strong accounting and technical knowledge, understanding of Oracle system and Fixed Assets end to end process including but not limited to asset additions, adjustments and retirements, depreciation calculations of various entities across the globe in accordance with US GAAP and Local GAAP. Work with the team to perform monthly sub-ledger close activities and reconciliations. Use accounting and financial systems and tools to input data, generate reports, conduct specialized research projects, and respond to inquiries. Monitoring of processes and identification of improvement opportunities.

Overview Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 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 powerful, award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. Diversity, equity & inclusion are integral parts of our culture and drivers of innovation at Keysight. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. The Keysight Finance and Business Intelligence Initiatives and Solutions Team (FBIS) is chartered to provide finance system solution design and development expertise, consulting, and project management in support of the numerous Finance and Business enterprise initiatives. FBIS is a very global and diverse team involved in critical project work that impacts the achievement of Keysight goals. FBIS is primarily engaged in Plan of Record (POR) process management, solution benchmarking/ROI & recommendations; and overall project management comprising business requirements analysis, functional solution design, product development, testing and deployment. The candidate should have work experience and expertise in financial modules of Oracle EBS; especially in the areas of General Ledger and/ or Accounts Receivable, Implementation & Configuration and it s integration with Boundary applications. The candidate should also have experience in Business process re-engineering, mapping business processes with financial accounting flows and enabling custom solutions as needed from time to time. Overall, the person should have very good grounding in GL/AR processes and be able to work with applications like OneStream/BI/Trintech and other external integrated Business applications. This role will also be involved on managing Finance integration activities for Mergers, Acquisitions & Divestitures (MA&D) executed by Keysight in support of the company s growth initiatives. Responsibilities Analyze, solution, design, development, and deployment of ERP, EPM and BI solutions including related business processes and prereferral applications. Develop & execute the financial systems deployment plan which includes enabling ERP setups, boundary applications & reporting systems to achieve a given project objective Provide ERP and process expertise and consultancy to Operations to achieve next level process optimization. Ensure effective management of change associated with ERP financial process changes - including enhancements, fixes, and documentation. Enable cross functional coordination to align Finance plan & activities with cross functional tracks Ensure integration of solutions throughout the key business flow with an end-to-end solution The Finance SME will be responsible to partner closely with various Finance Operations, Information Technology and Business functions throughout the project lifecycle. Measures of Success Increase customer satisfaction: Effective, efficient Customer consulting by identifying and recommending the innovation/improvement ideas for solutions Increase speed to opportunity: Build/increase FBIS capability, capacity & flexibility, Contribution to FBIS University and Progress per plan on individual development plan Leverage the operating model: Zero compliance issues for process and application design, signoff by sox lead and zero audit issues Accelerate growth: Complete your assigned projects on time, in scope and within resource plan, utilizing project management toolkit. Qualifications Careers Privacy Statement ***Keysight is an Equal Opportunity Employer.**Educational Qualifications: A Bachelors/ master s degree or equivalent University degree preferably in Accounting or Finance. Certified Accountant (CA/ICWA/CPA//CFA or equivalent) / MBA-Fin (from reputed collage) is preferable. Work Experience: 4-6 years post qualification experience in ERP financial modules, primarily in Oracle ERP especially in the areas of General Ledger and understanding of linkages of ERP with EPM packages and BI reporting tools. Communication: Excellent oral and written communication skills with ability to communicate effectively across different levels & geographies Strong Solution Engineering Skills with demonstrated ability in analyzing complex business problems, identifying and implementing solutions that fit into the overall finance system architecture Ability to work in a collaborative decision-making model with stakeholders across the company. Independent, results oriented, with a hands-on attitude Ability to think strategically and tactically Proficiency in using standard desktop computer applications Analyze, solution, design, development, and deployment of ERP, EPM and BI solutions including related business processes and prereferral applications. Develop & execute the financial systems deployment plan which includes enabling ERP setups, boundary applications & reporting systems to achieve a given project objective Provide ERP and process expertise and consultancy to Operations to achieve next level process optimization. Ensure effective management of change associated with ERP financial process changes - including enhancements, fixes, and documentation. Enable cross functional coordination to align Finance plan & activities with cross functional tracks Ensure integration of solutions throughout the key business flow with an end-to-end solution The Finance SME will be responsible to partner closely with various Finance Operations, Information Technology and Business functions throughout the project lifecycle. Measures of Success Increase customer satisfaction: Effective, efficient Customer consulting by identifying and recommending the innovation/improvement ideas for solutions Increase speed to opportunity: Build/increase FBIS capability, capacity & flexibility, Contribution to FBIS University and Progress per plan on individual development plan Leverage the operating model: Zero compliance issues for process and application design, signoff by sox lead and zero audit issues Accelerate growth: Complete your assigned projects on time, in scope and within resource plan, utilizing project management toolkit.

Overview: Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 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 powerful, award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. Diversity, equity & inclusion are integral parts of our culture and drivers of innovation at Keysight. 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: Hands on experience in Finance Functions, like GL, R2R, Payroll Accounting. Ensure monthly activities assigned during financial month-end close are completed within timelines & with accuracy. Handling/monitoring of General Ledger daily operations which includes processing of Journals & Inter-company bookings. Coordinating with different teams/contacts which are cross functional and/or located across geographies. Preparing & reviewing balance sheet reconciliation templates of various finance functions. Should be able to give extensive support & guidance to the team in terms of process simplification, standardization & consistency in performance of the process. Should be able to implement & define all the frameworks in terms of Methods, Tools & measures for any new / improved process. Timely closure of Accounting Activities & preparation of MIS / reports as required by Senior Management or stakeholders. Support Process Manager in implementing strategic decisions. Ensure that GL accounting and operations comply with the Keysight's Accounting and Finance Manual and related SOX Controls. Co-ordination with Statutory and Internal auditors and to ensure timely completion of Audit within stipulated timelines with no adverse remarks Good management skills for day to day operations Good Communication skills (written and spoken). Hands-on MS-office applications and well versed with MS-excel and power-point presentations. Self-driven, positive attitude, flexible to work on multiple tasks and bring ideas to improve the current process. Should be a good team player. Qualifications: Careers Privacy Statement ***Keysight is an Equal Opportunity Employer.*** CA with 0-1 years post qualification work experience or CA-Inter / MBA/ M.Com/ Bachelor's degree majoring in Accounting/Finance with 6-7 years relevant work experience. Exposure to Finance ERP / Oracle will be an added advantage to the applicant.

Overview Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 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 powerful, award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. Diversity, equity & inclusion are integral parts of our culture and drivers of innovation at Keysight. 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 Develop and manager software development projects using Agile Scrum methodologies Responsible for making sure new software tasks are completed each sprint. Able to work in a team environment and be a person other can count on Tackle problems of diverse technical and business scope where solutions require an out-of-box thinking. Work with a global diversified team in a remote environment Leadership skills with ability to manage across regions and cultures Support & adapt to the evolving nature of Job High degree of flexibility to be available to take business calls at odd hours & be able to support business on Indian Holidays Qualifications Careers Privacy Statement ***Keysight is an Equal Opportunity Employer.**Bachelors or Master Degree or University Degree or equivalent plus typically > 2 years of relevant experience as a software developer Requires extensive experience and knowledge in job and ability to work independently. Experience in customer focus operational organizations Strong technical skills (Object oriented programming, C#.Net, HTML 5/CSS/JavaScript, Bootstrap GIT, JIRA, Python etc.) Experience with SQL server, modern frameworks, restful APIs, Ajax, REACT js is a plus Develop and manager software development projects using Agile Scrum methodologies Responsible for making sure new software tasks are completed each sprint. Able to work in a team environment and be a person other can count on Tackle problems of diverse technical and business scope where solutions require an out-of-box thinking. Work with a global diversified team in a remote environment Leadership skills with ability to manage across regions and cultures Support & adapt to the evolving nature of Job High degree of flexibility to be available to take business calls at odd hours & be able to support business on Indian Holidays

Overview Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 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 powerful, award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. Diversity, equity & inclusion are integral parts of our culture and drivers of innovation at Keysight. 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 Develop and manager software development projects using Agile Scrum methodologies Responsible for making sure new software tasks are completed each sprint. Able to work in a team environment and be a person other can count on Tackle problems of diverse technical and business scope where solutions require an out-of-box thinking. Work with a global diversified team in a remote environment Leadership skills with ability to manage across regions and cultures Support & adapt to the evolving nature of Job High degree of flexibility to be available to take business calls at odd hours & be able to support business on Indian Holidays Qualifications Careers Privacy Statement ***Keysight is an Equal Opportunity Employer.**Bachelors or Master Degree or University Degree or equivalent plus typically > 4 years of relevant experience as a software developer Requires extensive experience and knowledge in job and ability to work independently. Experience in customer focus operational organizations Strong technical skills (Object oriented programming, C#.Net, HTML 5/CSS/JavaScript, Bootstrap GIT, JIRA, Python etc.) Experience with SQL server, modern frameworks, restful APIs, Ajax, REACT js is a plus Develop and manager software development projects using Agile Scrum methodologies Responsible for making sure new software tasks are completed each sprint. Able to work in a team environment and be a person other can count on Tackle problems of diverse technical and business scope where solutions require an out-of-box thinking. Work with a global diversified team in a remote environment Leadership skills with ability to manage across regions and cultures Support & adapt to the evolving nature of Job High degree of flexibility to be available to take business calls at odd hours & be able to support business on Indian Holidays

Overview Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 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 powerful, award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. Diversity, equity & inclusion are integral parts of our culture and drivers of innovation at Keysight. 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 Tax technical skills Should have worked on complex Indirect tax returns of medium/large-sized enterprises with in-depth understanding of transaction flows: Should be well versed with updated tax regulatory requirements Should be able to assess the impact of tax regulatory changes on the present process and recommend necessary modifications to incorporate the same Should be able to ensure seamless delivery on present compliance processes, raise the flag proactively, and ensure things do not fall through the cracks Review complex tax reconciliations and provide issue resolution on complex tax accounting queries Should be able to work cross-functionally under the guidance of process manager on issues/queries involving other finance/non-finance functions Strong understanding of tax applications/tax linkages/process flows (quote to cash and procure to pay) with other finance/non-finance functions Should be able to support audits/assignments (MES/SOX/Tax Audits/IRAS) with minimal handholding and supervision Well acquainted with SOX requirements on the process and ensure deviations get reported and documented for assessment of the impact on the controls Strong understanding of ERP skills (Oracle) Qualifications Careers Privacy Statement ***Keysight is an Equal Opportunity Employer.*** Post-graduate, CA/CMA/CS/MBA

Overview Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 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 powerful, award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. Diversity, equity & inclusion are integral parts of our culture and drivers of innovation at Keysight. 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 Responsible for preparation/review of Global Intangible Low Tax income (GILTI), SubPart F & Foreign tax credit calculation. Responsible for preparation/review of different Book to Tax Adjustments and different Schedules for Form 5471 & 8858’s.Candidate should have knowledge & working experience of US GAAP- ASC 740, Foreign tax provision including calculation of deferred tax assets/liabilities.Responsible for preparation/Review of various tax reports generated from Microstrategy/OnestreamExcellent MS-excel skills and proficiency in other Microsoft Office tools.Works on tax assignments with clearly defined objectivesSolves problems of limited scope and complexity Qualifications Careers Privacy Statement ***Keysight is an Equal Opportunity Employer.*** Qualified chartered accountants or equivalents.Minimum 4 years of relevant experience for qualified chartered accountants.Minimum 7 years of relevant experience for semi- qualified chartered accountants.Working Knowledge of Oracle, MSTR, Onestream, and specialized knowledge of Income Tax tool- OneSource Tax Provision would be an added advantage.Should possess strong analytical skills related to Sub part F, GILTI and Foreign Tax credit calculations. Prepare and review various schedules of Form 5471 and 8858, also identify and calculate the book to tax adjustment in accordance with US GAAP- ASC 740 (Accounting for Income Taxes).Excellent MS-excel skills and proficiency in other Microsoft Office tools.Effective Inter-personal communication, including both verbal and written.

Overview: Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 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 powerful, award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. Diversity, equity & inclusion are integral parts of our culture and drivers of innovation at Keysight. 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: Tax technical skills Should have worked on complex Indirect tax returns of medium/large-sized enterprises with in-depth understanding of transaction flows: Should be well versed with updated tax regulatory requirements Should be able to assess the impact of tax regulatory changes on the present process and recommend necessary modifications to incorporate the same Should be able to ensure seamless delivery on present compliance processes, raise the flag proactively, and ensure things do not fall through the cracks Review complex tax reconciliations and provide issue resolution on complex tax accounting queries Should be able to work cross-functionally under the guidance of process manager on issues/queries involving other finance/non-finance functions Strong understanding of tax applications/tax linkages/process flows (quote to cash and procure to pay) with other finance/non-finance functions Should be able to support audits/assignments (MES/SOX/Tax Audits/IRAS) with minimal handholding and supervision Well acquainted with SOX requirements on the process and ensure deviations get reported and documented for assessment of the impact on the controls Strong understanding of ERP skills (Oracle) Qualifications: Careers Privacy Statement ***Keysight is an Equal Opportunity Employer.*** Post-graduate, CA/CMA/CS/MBA

Overview: Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 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 powerful, award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. Diversity, equity & inclusion are integral parts of our culture and drivers of innovation at Keysight. 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: Tax technical skills Examines accounts and records and does Indirect tax computations in accordance with tax regulations as applicable in respective countries. Handling International Indirect taxation (EU VAT and Asia Pac GST) & coordinating with the consultants in the respective countries. Should be able to effectively support the implementation of tax compliance strategies. Handling Indirect Tax litigations with the support of Tax Consultants. Managing & implementing tax law changes in ERP (Oracle) and providing training to tax, front-end functions, and other KBFs to help them deal with routine tax matters on their own. Monitoring & managing complex tax compliance processes to ensure smart compliance. Partnering with the Tax technology team to ensure Tax applications and ERPs are in sync with tax compliance requirements. Supporting leadership team on implementation of process changes necessitated by changes in tax laws. Good understanding of ERPs and various tax-specific applications with an ability to manage transitions or set up new processes, which entails process designing, data mapping, and system configuration Review SOX controls on a regular basis to detect & report control failures, if any, and take mitigation steps Qualifications: Careers Privacy Statement ***Keysight is an Equal Opportunity Employer.*** Qualified Accountant - CA 3+ years in International Indirect taxes.

Overview Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 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 powerful, award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. Diversity, equity & inclusion are integral parts of our culture and drivers of innovation at Keysight. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. We are seeking a Machine Learning Engineer to lead the design, development, and deployment of scalable machine learning models that power business decisions across the enterprise. This role combines technical depth in ML/AI with a strong understanding of business domains such as Sales, Service, Finance, Order Fulfillment, and Supply Chain. You will collaborate closely with Data Scientists, Data Engineers, and business partners to build production-ready solutions that drive measurable impact. Responsibilities 1. Machine Learning Development & Deployment Design and implement supervised and unsupervised models for predictive analytics, including churn prediction, demand forecasting, renewal risk scoring, and cross-sell/upsell opportunity identification. Translate business problems into ML frameworks and production solutions that improve efficiency, revenue, or customer experience. Build, optimize, and maintain ML pipelines using tools such as MLflow, Airflow, or Kubeflow. 2. Cross-Functional ML Use Cases Partner with teams across Sales (e.g., lead scoring, next-best action), Customer Service (e.g., case deflection, sentiment analysis), Finance (e.g., revenue forecasting, fraud detection), Supply Chain (e.g., inventory optimization, ETA prediction), and Order Fulfillment (e.g., delivery risk modeling) to define impactful ML use cases. Develop domain-specific models and continuously improve them using feedback loops and real-world performance data. 3. Model Governance and MLOps Ensure robust model monitoring, versioning, and retraining strategies to keep models reliable in dynamic environments. Work closely with DevOps and Data Engineering teams to automate deployment, CI/CD workflows, and cloud-native ML infrastructure (AWS/GCP/Azure). 4. Data Engineering and Feature Architecture Collaborate with data engineers to define feature stores, data quality checks, and model-ready datasets on platforms like Snowflake or Databricks. Perform feature selection, transformation, and engineering aligned with each domain s business logic. 5. Communication & Stakeholder Collaboration Present technical insights and model results to business and executive stakeholders in a clear, actionable format. Work with Product Owners and Program Managers to scope, prioritize, and plan delivery of ML projects. Qualifications Required: 4+ years of experience in machine learning, data science, or AI engineering, with a strong software engineering foundation. Proficiency in Python, and libraries such as scikit-learn, XGBoost, PyTorch, TensorFlow, or similar. Experience deploying models into production using ML pipelines and orchestration frameworks. Strong understanding of data structures, SQL, and cloud platforms (e.g., AWS SageMaker, Azure ML, or GCP Vertex AI). Preferred: Experience supporting business functions such as Finance, Sales, or Operations with ML use cases. Familiarity with MLOps tools (MLflow, SageMaker Pipelines, Feature Store). Exposure to enterprise data platforms (e.g., Snowflake, Oracle Fusion, Salesforce). Background in statistics, forecasting, optimization, or recommendation systems. Careers Privacy Statement ***Keysight is an Equal Opportunity Employer.**1. Machine Learning Development & Deployment Design and implement supervised and unsupervised models for predictive analytics, including churn prediction, demand forecasting, renewal risk scoring, and cross-sell/upsell opportunity identification. Translate business problems into ML frameworks and production solutions that improve efficiency, revenue, or customer experience. Build, optimize, and maintain ML pipelines using tools such as MLflow, Airflow, or Kubeflow. 2. Cross-Functional ML Use Cases Partner with teams across Sales (e.g., lead scoring, next-best action), Customer Service (e.g., case deflection, sentiment analysis), Finance (e.g., revenue forecasting, fraud detection), Supply Chain (e.g., inventory optimization, ETA prediction), and Order Fulfillment (e.g., delivery risk modeling) to define impactful ML use cases. Develop domain-specific models and continuously improve them using feedback loops and real-world performance data. 3. Model Governance and MLOps Ensure robust model monitoring, versioning, and retraining strategies to keep models reliable in dynamic environments. Work closely with DevOps and Data Engineering teams to automate deployment, CI/CD workflows, and cloud-native ML infrastructure (AWS/GCP/Azure). 4. Data Engineering and Feature Architecture Collaborate with data engineers to define feature stores, data quality checks, and model-ready datasets on platforms like Snowflake or Databricks. Perform feature selection, transformation, and engineering aligned with each domain s business logic. 5. Communication & Stakeholder Collaboration Present technical insights and model results to business and executive stakeholders in a clear, actionable format. Work with Product Owners and Program Managers to scope, prioritize, and plan delivery of ML projects.

Overview Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 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 powerful, award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. Diversity, equity & inclusion are integral parts of our culture and drivers of innovation at Keysight. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. We are looking for a highly skilled Senior Snowflake DBA to lead the administration, performance tuning, and governance of our enterprise Snowflake environment. This role will play a critical part in ensuring the availability, security, and scalability of our cloud data platform, while enabling high-performance analytics and data science across business units Responsibilities 1. Snowflake Platform Administration Manage and monitor Snowflake environments, including warehouse performance, query optimization, and user access. Configure and administer virtual warehouses, roles, databases, schemas, and storage. Oversee resource usage and cost optimization across the platform. 2. Security, Access Control & Governance Implement and maintain role-based access control (RBAC) and data masking/tokenization in accordance with governance and compliance policies. Enforce data security standards, including audit logging, object access tracking, and integration with identity providers (e.g., Okta, Azure AD). Support data privacy and regulatory compliance (e.g., GDPR, HIPAA, SOX) through appropriate controls. 3. Performance Optimization & Monitoring Monitor and fine-tune query performance, storage usage, and compute resource allocation. Leverage Snowflakes Query Profile and Resource Monitors to proactively identify performance bottlenecks and anomalies. Collaborate with data engineering and BI teams to optimize data pipelines and workloads. 4. Platform Support & Incident Management Provide expert-level support for platform incidents, access issues, and job failures. Define and manage backup, recovery, and disaster recovery strategies for Snowflake data and objects. Maintain environmental health and proactively resolve errors or capacity constraints. 5. Automation, Integration & Upgrades Build or enhance automation scripts for provisioning, monitoring, and maintenance (e.g., using Python, dbt, Terraform). Integrate Snowflake with BI tools, orchestration tools (e.g., Matillion, Airflow), and data catalogs. Stay updated on Snowflake releases and evaluate new features for enterprise readiness. Qualifications Careers Privacy Statement ***Keysight is an Equal Opportunity Employer.**Required: 5+ years of database administration experience, with at least 3 years focused on Snowflake. Deep knowledge of SQL, Snowflake architecture, and cloud-based data ecosystems (AWS, Azure, or GCP). Experience implementing RBAC, data masking, and governed access models. Strong understanding of query tuning, cost management, and warehouse scaling strategies. Experience with monitoring tools (e.g., Snowflake Usage Views, third-party monitoring, or custom solutions). Preferred: Snowflake certification(s) (e.g., SnowPro Advanced: Architect or Administrator). Familiarity with data pipeline tools (Matillion, dbt, Fivetran), orchestration (Airflow), and cataloging (Alation, Collibra). Exposure to data engineering, BI, or AI/ML workflows within Snowflake. Scripting experience in Python, Bash, or Infrastructure-as-Code (e.g., Terraform). 1. Snowflake Platform Administration Manage and monitor Snowflake environments, including warehouse performance, query optimization, and user access. Configure and administer virtual warehouses, roles, databases, schemas, and storage. Oversee resource usage and cost optimization across the platform. 2. Security, Access Control & Governance Implement and maintain role-based access control (RBAC) and data masking/tokenization in accordance with governance and compliance policies. Enforce data security standards, including audit logging, object access tracking, and integration with identity providers (e.g., Okta, Azure AD). Support data privacy and regulatory compliance (e.g., GDPR, HIPAA, SOX) through appropriate controls. 3. Performance Optimization & Monitoring Monitor and fine-tune query performance, storage usage, and compute resource allocation. Leverage Snowflakes Query Profile and Resource Monitors to proactively identify performance bottlenecks and anomalies. Collaborate with data engineering and BI teams to optimize data pipelines and workloads. 4. Platform Support & Incident Management Provide expert-level support for platform incidents, access issues, and job failures. Define and manage backup, recovery, and disaster recovery strategies for Snowflake data and objects. Maintain environmental health and proactively resolve errors or capacity constraints. 5. Automation, Integration & Upgrades Build or enhance automation scripts for provisioning, monitoring, and maintenance (e.g., using Python, dbt, Terraform). Integrate Snowflake with BI tools, orchestration tools (e.g., Matillion, Airflow), and data catalogs. Stay updated on Snowflake releases and evaluate new features for enterprise readiness.

Overview Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 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 powerful, award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. Diversity, equity & inclusion are integral parts of our culture and drivers of innovation at Keysight. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. We are looking for a Senior Data Engineer with deep expertise in Snowflake and strong functional understanding of one or more areas: Sales, Service, Order Fulfillment, Supply Chain, and Finance operations. This role will lead the development of scalable, trusted data pipelines that serve as the foundation for enterprise-wide analytics. You will work closely with stakeholders across these domains to design and deliver integrated data products sourced from platforms like Oracle Fusion Cloud, Salesforce, and other business systems Responsibilities 1. Enterprise Data Engineering with Snowflake Build and manage robust ELT pipelines in Snowflake to unify data from Oracle Fusion Cloud, Salesforce, ERP, CRM, and operational systems. Design curated data models to support KPIs across Sales (pipeline, conversion), Service (case resolution, renewals), Order Fulfillment (OTD, backlog), Supply Chain (inventory, procurement), and Finance (revenue, cost, forecasting). Ensure high performance and scalability through warehouse tuning, modular architecture, and cost optimization. 2. Cross-Functional Partnership Collaborate with business leaders in Sales, Customer Service, Finance, Fulfillment, and Supply Chain to gather requirements and translate them into actionable, scalable data solutions. Build shared data assets that support 360 customer views, quote-to-cash analysis, forecast accuracy, supplier performance, and working capital insights. Enable real-time operational reporting and decision-making across functions. 3. Oracle Fusion Cloud Integration Lead data integration efforts for Oracle Fusion Cloud modules including Finance (GL, AP, AR, Projects), SCM (Procurement, Inventory, Order Management), and Service Contracts. Transform Fusion data into analytics-ready formats with reliable metadata, handling complex joins, hierarchies, and time-based calculations. Develop automated pipelines using BICC extracts, APIs, and third-party tools for continuous ingestion and enrichment. 4. Data Governance, Security, and Access Control Implement role-based access, data masking, and security controls tailored to the needs of Finance, Sales, and Operations users. Ensure consistency in business logic and terminology by contributing to a shared data dictionary, metrics glossary, and lineage documentation. Champion data quality, validation, and auditability across all functional domains. Qualifications Careers Privacy Statement ***Keysight is an Equal Opportunity Employer.**Required: 7+ years of experience in data engineering, including 3+ years working with Snowflake. Strong hands-on experience integrating and modeling data from Oracle Fusion Cloud, particularly in Finance, SCM, and Order Management modules. Functional understanding of Sales, Customer Service, Fulfillment, Supply Chain, and Financial processes. Proficient in SQL, and ELT tools such as dbt, Fivetran, or Matillion. Demonstrated ability to work with complex data transformations, large-scale datasets, and cross-domain integration. Preferred: Snowflake SnowPro Certification. Experience with Salesforce, Oracle Analytics Cloud, or similar tools. Familiarity with FP&A tools, Supply Chain platforms, and customer support systems (ServiceNow, Zendesk). Background in supporting executive reporting, real-time operational dashboards, and predictive analytics. 1. Enterprise Data Engineering with Snowflake Build and manage robust ELT pipelines in Snowflake to unify data from Oracle Fusion Cloud, Salesforce, ERP, CRM, and operational systems. Design curated data models to support KPIs across Sales (pipeline, conversion), Service (case resolution, renewals), Order Fulfillment (OTD, backlog), Supply Chain (inventory, procurement), and Finance (revenue, cost, forecasting). Ensure high performance and scalability through warehouse tuning, modular architecture, and cost optimization. 2. Cross-Functional Partnership Collaborate with business leaders in Sales, Customer Service, Finance, Fulfillment, and Supply Chain to gather requirements and translate them into actionable, scalable data solutions. Build shared data assets that support 360 customer views, quote-to-cash analysis, forecast accuracy, supplier performance, and working capital insights. Enable real-time operational reporting and decision-making across functions. 3. Oracle Fusion Cloud Integration Lead data integration efforts for Oracle Fusion Cloud modules including Finance (GL, AP, AR, Projects), SCM (Procurement, Inventory, Order Management), and Service Contracts. Transform Fusion data into analytics-ready formats with reliable metadata, handling complex joins, hierarchies, and time-based calculations. Develop automated pipelines using BICC extracts, APIs, and third-party tools for continuous ingestion and enrichment. 4. Data Governance, Security, and Access Control Implement role-based access, data masking, and security controls tailored to the needs of Finance, Sales, and Operations users. Ensure consistency in business logic and terminology by contributing to a shared data dictionary, metrics glossary, and lineage documentation. Champion data quality, validation, and auditability across all functional domains.

Overview Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 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 powerful, award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. Diversity, equity & inclusion are integral parts of our culture and drivers of innovation at Keysight. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. We are seeking a Senior Machine Learning Engineer to lead the design, development, and deployment of scalable machine learning models that power business decisions across the enterprise. This role combines technical depth in ML/AI with a strong understanding of business domains such as Sales, Service, Finance, Order Fulfillment, and Supply Chain. You will collaborate closely with Data Scientists, Data Engineers, and business partners to build production-ready solutions that drive measurable impact. Responsibilities 1. Machine Learning Development & Deployment Design and implement supervised and unsupervised models for predictive analytics, including churn prediction, demand forecasting, renewal risk scoring, and cross-sell/upsell opportunity identification. Translate business problems into ML frameworks and production solutions that improve efficiency, revenue, or customer experience. Build, optimize, and maintain ML pipelines using tools such as MLflow, Airflow, or Kubeflow. 2. Cross-Functional ML Use Cases Partner with teams across Sales (e.g., lead scoring, next-best action), Customer Service (e.g., case deflection, sentiment analysis), Finance (e.g., revenue forecasting, fraud detection), Supply Chain (e.g., inventory optimization, ETA prediction), and Order Fulfillment (e.g., delivery risk modeling) to define impactful ML use cases. Develop domain-specific models and continuously improve them using feedback loops and real-world performance data. 3. Model Governance and MLOps Ensure robust model monitoring, versioning, and retraining strategies to keep models reliable in dynamic environments. Work closely with DevOps and Data Engineering teams to automate deployment, CI/CD workflows, and cloud-native ML infrastructure (AWS/GCP/Azure). 4. Data Engineering and Feature Architecture Collaborate with data engineers to define feature stores, data quality checks, and model-ready datasets on platforms like Snowflake or Databricks. Perform feature selection, transformation, and engineering aligned with each domain s business logic. 5. Communication & Stakeholder Collaboration Present technical insights and model results to business and executive stakeholders in a clear, actionable format. Work with Product Owners and Program Managers to scope, prioritize, and plan delivery of ML projects. Qualifications Required: 7+ years of experience in machine learning, data science, or AI engineering, with a strong software engineering foundation. Proficiency in Python, and libraries such as scikit-learn, XGBoost, PyTorch, TensorFlow, or similar. Experience deploying models into production using ML pipelines and orchestration frameworks. Strong understanding of data structures, SQL, and cloud platforms (e.g., AWS SageMaker, Azure ML, or GCP Vertex AI). Experience with tools like Datarobot or Dataiku Preferred: Experience supporting business functions such as Finance, Sales, or Operations with ML use cases. Familiarity with MLOps tools (MLflow, SageMaker Pipelines, Feature Store). Exposure to enterprise data platforms (e.g., Snowflake, Oracle Fusion, Salesforce). Background in statistics, forecasting, optimization, or recommendation systems. Careers Privacy Statement ***Keysight is an Equal Opportunity Employer.**1. Machine Learning Development & Deployment Design and implement supervised and unsupervised models for predictive analytics, including churn prediction, demand forecasting, renewal risk scoring, and cross-sell/upsell opportunity identification. Translate business problems into ML frameworks and production solutions that improve efficiency, revenue, or customer experience. Build, optimize, and maintain ML pipelines using tools such as MLflow, Airflow, or Kubeflow. 2. Cross-Functional ML Use Cases Partner with teams across Sales (e.g., lead scoring, next-best action), Customer Service (e.g., case deflection, sentiment analysis), Finance (e.g., revenue forecasting, fraud detection), Supply Chain (e.g., inventory optimization, ETA prediction), and Order Fulfillment (e.g., delivery risk modeling) to define impactful ML use cases. Develop domain-specific models and continuously improve them using feedback loops and real-world performance data. 3. Model Governance and MLOps Ensure robust model monitoring, versioning, and retraining strategies to keep models reliable in dynamic environments. Work closely with DevOps and Data Engineering teams to automate deployment, CI/CD workflows, and cloud-native ML infrastructure (AWS/GCP/Azure). 4. Data Engineering and Feature Architecture Collaborate with data engineers to define feature stores, data quality checks, and model-ready datasets on platforms like Snowflake or Databricks. Perform feature selection, transformation, and engineering aligned with each domain s business logic. 5. Communication & Stakeholder Collaboration Present technical insights and model results to business and executive stakeholders in a clear, actionable format. Work with Product Owners and Program Managers to scope, prioritize, and plan delivery of ML projects.

Overview Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 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 powerful, award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. Diversity, equity & inclusion are integral parts of our culture and drivers of innovation at Keysight. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. We are seeking a Lead Data Engineer with deep expertise in Snowflake and strong functional knowledge of Finance data to architect and deliver trusted, high-performing data products that support financial reporting, forecasting, planning, and compliance. In this role, you will work closely with Finance, FP&A, and Accounting teams to build pipelines and models that enable timely, data-driven decision-making. Responsibilities 1. Snowflake Platform & Pipeline Ownership Design and build robust ELT pipelines in Snowflake to integrate financial data from ERP systems (e.g., Oracle, SAP), billing platforms, and planning tools. Deliver clean, well-modeled financial data marts for P&L analysis, cash flow, variance analysis, forecasting, and budget tracking. Optimize Snowflake usage with efficient schema design, warehouse tuning, and compute/storage cost management. 2. Functional Partnership with Finance Teams Collaborate with Finance, FP&A, and Accounting stakeholders to understand business processes, reporting requirements, and data dependencies. Support financial reporting cycles (monthly close, audits, forecast submissions) by ensuring timely, reliable data pipelines. Translate complex financial logic such as allocations, consolidations, and time-based adjustments into scalable data transformations. 3. Data Governance, Quality & Controls Implement role-based access control, secure data zones, and masking policies to manage sensitive financial and employee data. Partner with Data Governance teams to maintain data dictionaries, financial definitions, lineage documentation, and audit trails. Apply rigorous data quality checks to ensure the integrity of financial metrics used in dashboards, planning models, and reports. 4. Technical Leadership & Best Practices Lead the adoption of modern data engineering frameworks using tools like dbt, Matillion, and CI/CD pipelines for Snowflake. Mentor junior engineers and analysts on SQL optimization, data modeling for finance, and best practices for code reuse and maintainability. Drive continuous improvement in pipeline reliability, monitoring, and performance tuning. 5. Integration Across Finance Tech Stack Integrate Snowflake with FP&A tools (e.g., Onestream) and BI/reporting platforms (e.g., Tableau, Power BI, Microstrategy). Build reusable financial data products that serve multiple use cases planning, tax, audit, compliance, and executive dashboards. Qualifications Careers Privacy Statement ***Keysight is an Equal Opportunity Employer.**Required: 5+ years of experience in data engineering, with at least 3 years working with Snowflake. Proven experience with financial data domains including GL, AR, AP, P&L, balance sheet, and forecasting. Strong SQL skills and hands-on experience with dbt, Matillion, or other ELT tools. Integration experience with ERP systems (Oracle, SAP, NetSuite) and other financial tools. Solid understanding of data modeling, cost controls, and platform performance optimization. Preferred: Snowflake SnowPro Certification. Familiarity with SOX, GAAP, or audit-related data requirements. Experience supporting FP&A, Treasury, or Controllership teams. Knowledge of financial hierarchy management, time-series modeling, and period-based aggregation logic. 1. Snowflake Platform & Pipeline Ownership Design and build robust ELT pipelines in Snowflake to integrate financial data from ERP systems (e.g., Oracle, SAP), billing platforms, and planning tools. Deliver clean, well-modeled financial data marts for P&L analysis, cash flow, variance analysis, forecasting, and budget tracking. Optimize Snowflake usage with efficient schema design, warehouse tuning, and compute/storage cost management. 2. Functional Partnership with Finance Teams Collaborate with Finance, FP&A, and Accounting stakeholders to understand business processes, reporting requirements, and data dependencies. Support financial reporting cycles (monthly close, audits, forecast submissions) by ensuring timely, reliable data pipelines. Translate complex financial logic such as allocations, consolidations, and time-based adjustments into scalable data transformations. 3. Data Governance, Quality & Controls Implement role-based access control, secure data zones, and masking policies to manage sensitive financial and employee data. Partner with Data Governance teams to maintain data dictionaries, financial definitions, lineage documentation, and audit trails. Apply rigorous data quality checks to ensure the integrity of financial metrics used in dashboards, planning models, and reports. 4. Technical Leadership & Best Practices Lead the adoption of modern data engineering frameworks using tools like dbt, Matillion, and CI/CD pipelines for Snowflake. Mentor junior engineers and analysts on SQL optimization, data modeling for finance, and best practices for code reuse and maintainability. Drive continuous improvement in pipeline reliability, monitoring, and performance tuning. 5. Integration Across Finance Tech Stack Integrate Snowflake with FP&A tools (e.g., Onestream) and BI/reporting platforms (e.g., Tableau, Power BI, Microstrategy). Build reusable financial data products that serve multiple use cases planning, tax, audit, compliance, and executive dashboards.

Overview Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 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 powerful, award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. Diversity, equity & inclusion are integral parts of our culture and drivers of innovation at Keysight. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. We are seeking a Senior Data Product Owner to drive the development and delivery of Predictive and Generative AI data products that enable sales growth, improve customer retention, and identify strategic opportunities. This role sits at the intersection of business and data, and is responsible for aligning predictive modeling capabilities with real-world business outcomes by defining requirements, managing priorities, and ensuring adoption across teams. Responsibilities 1. Product Ownership & Roadmap Execution Define and manage the product roadmap for predictive insights across Sales, Marketing, Product, and Customer Success. Translate business needs into product features and data capabilities focused on churn prediction, cross-sell/upsell opportunities, and new logo identification. 2. Business Alignment & Stakeholder Engagement Act as the primary liaison between business stakeholders and technical/data teams. Partner with Sales leaders to ensure predictive insights are directly integrated into Salesforce and other frontline tools. Gather feedback and continuously refine product features to maximize business value. Monitor Generative AI experience to ensure explainability, accuracy, response time and user satisfaction 3. Predictive Insight Enablement Ensure delivery of actionable insights to business units, helping them identify and act on growth opportunities, competitive threats, and customer risk factors. Support the development of Product Line Maps that quantify $ opportunity by business unit or industry. 4. Data Integration & Delivery Coordinate with technical teams to ensure predictive models are properly integrated into existing systems (e.g., SFDC) and surfaced in a business-consumable format. Prioritize delivery features that support proactive customer engagement and renewal risk mitigation. 5. Adoption, Feedback & Iteration Monitor usage, effectiveness, and business outcomes of data products. Run feedback loops with users to enhance product functionality and adoption. Champion data literacy and work closely with enablement teams to support training and onboarding. Qualifications Careers Privacy Statement ***Keysight is an Equal Opportunity Employer.**Required: 5-8 years of experience in data product management, business analytics, or sales operations. Proven success in defining and delivering data products that support sales, customer success, or marketing teams. Strong understanding of predictive analytics concepts (e.g., churn modeling, opportunity scoring). Experience working with tools such as Salesforce, Power BI/Tableau, and data platforms like Snowflake or similar. Preferred: Background in B2B, SaaS, or high-tech environments. Familiarity with agile product development and tools like JIRA Ability to translate business questions into structured data product features. 1. Product Ownership & Roadmap Execution Define and manage the product roadmap for predictive insights across Sales, Marketing, Product, and Customer Success. Translate business needs into product features and data capabilities focused on churn prediction, cross-sell/upsell opportunities, and new logo identification. 2. Business Alignment & Stakeholder Engagement Act as the primary liaison between business stakeholders and technical/data teams. Partner with Sales leaders to ensure predictive insights are directly integrated into Salesforce and other frontline tools. Gather feedback and continuously refine product features to maximize business value. Monitor Generative AI experience to ensure explainability, accuracy, response time and user satisfaction 3. Predictive Insight Enablement Ensure delivery of actionable insights to business units, helping them identify and act on growth opportunities, competitive threats, and customer risk factors. Support the development of Product Line Maps that quantify $ opportunity by business unit or industry. 4. Data Integration & Delivery Coordinate with technical teams to ensure predictive models are properly integrated into existing systems (e.g., SFDC) and surfaced in a business-consumable format. Prioritize delivery features that support proactive customer engagement and renewal risk mitigation. 5. Adoption, Feedback & Iteration Monitor usage, effectiveness, and business outcomes of data products. Run feedback loops with users to enhance product functionality and adoption. Champion data literacy and work closely with enablement teams to support training and onboarding.

Overview Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 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 powerful, award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. Diversity, equity & inclusion are integral parts of our culture and drivers of innovation at Keysight. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. We are seeking a Senior Data Engineer with deep expertise in Snowflake and strong functional knowledge of Supply Chain and Order Fulfillment, including experience integrating data from Oracle Fusion Cloud applications. In this role, you will architect and deliver scalable, trusted data solutions that power analytics across procurement, inventory, logistics, and fulfillment. Youll collaborate with key business and technology stakeholders to optimize supply chain performance through clean, well-governed data. Responsibilities 1. Snowflake-Centric Data Engineering Design and implement robust, scalable ELT pipelines in Snowflake to ingest and process data from Oracle Fusion Cloud (SCM, Procurement, Inventory, Order Management) and other relevant systems. Build and optimize data models that support key supply chain KPIs such as on-time delivery, inventory turns, order cycle time, and supplier performance. Ensure high performance of pipelines and queries through warehouse tuning, partitioning, and Snowflake best practices. 2. Functional Collaboration - Supply Chain & Fulfillment Partner with Procurement, Logistics, Fulfillment, and Supply Chain Planning teams to gather requirements and deliver usable, accurate data products. Enable visibility and analytics across the order-to-ship and procure-to-pay lifecycles, with special emphasis on real-time inventory visibility, order tracking, and supplier management. Translate operational needs into scalable, automated pipelines for daily reporting, exception alerts, and long-range planning. 3. Oracle Fusion Cloud Integration Lead the integration of Oracle Fusion Cloud data models into Snowflake, ensuring proper handling of complex business hierarchies, metadata, and financial controls. Understand Fusion data structures, including subject areas for Purchase Orders, Shipments, Inventory, Costing, and Invoices, and transform them into accessible formats for analytics and forecasting. Troubleshoot and optimize ELT jobs sourced from Fusion s APIs, BICC extracts, or database connectors. 4. Data Governance, Quality & Access Control Implement role-based access controls, data masking, and auditing to protect sensitive supplier, pricing, and order data. Define and enforce standards for data quality checks, lineage tracking, and semantic consistency across global supply chain functions. Contribute to the creation of data dictionaries, metrics catalogs, and documentation aligned with supply chain and fulfillment teams. Qualifications Careers Privacy Statement ***Keysight is an Equal Opportunity Employer.**Required: 7+ years of experience in data engineering, including 3+ years with Snowflake architecture and development. Hands-on experience integrating with Oracle Fusion Cloud (SCM, Procurement, Inventory, or OM modules). Strong SQL and Python skills, and familiarity with ELT tools like dbt, Matillion, Fivetran, or equivalent. Deep understanding of supply chain and fulfillment data domains, including key metrics and operational processes. Demonstrated ability to model complex transactional and hierarchical data structures for analytics consumption. Preferred: Snowflake SnowPro Certification. Experience with real-time data integration or event-based pipelines. Familiarity with supply chain planning tools and logistics platforms Exposure to data visualization and reporting tools such as Tableau or Power BI. 1. Snowflake-Centric Data Engineering Design and implement robust, scalable ELT pipelines in Snowflake to ingest and process data from Oracle Fusion Cloud (SCM, Procurement, Inventory, Order Management) and other relevant systems. Build and optimize data models that support key supply chain KPIs such as on-time delivery, inventory turns, order cycle time, and supplier performance. Ensure high performance of pipelines and queries through warehouse tuning, partitioning, and Snowflake best practices. 2. Functional Collaboration - Supply Chain & Fulfillment Partner with Procurement, Logistics, Fulfillment, and Supply Chain Planning teams to gather requirements and deliver usable, accurate data products. Enable visibility and analytics across the order-to-ship and procure-to-pay lifecycles, with special emphasis on real-time inventory visibility, order tracking, and supplier management. Translate operational needs into scalable, automated pipelines for daily reporting, exception alerts, and long-range planning. 3. Oracle Fusion Cloud Integration Lead the integration of Oracle Fusion Cloud data models into Snowflake, ensuring proper handling of complex business hierarchies, metadata, and financial controls. Understand Fusion data structures, including subject areas for Purchase Orders, Shipments, Inventory, Costing, and Invoices, and transform them into accessible formats for analytics and forecasting. Troubleshoot and optimize ELT jobs sourced from Fusion s APIs, BICC extracts, or database connectors. 4. Data Governance, Quality & Access Control Implement role-based access controls, data masking, and auditing to protect sensitive supplier, pricing, and order data. Define and enforce standards for data quality checks, lineage tracking, and semantic consistency across global supply chain functions. Contribute to the creation of data dictionaries, metrics catalogs, and documentation aligned with supply chain and fulfillment teams.

Overview Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 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 powerful, award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. Diversity, equity & inclusion are integral parts of our culture and drivers of innovation at Keysight. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. We are seeking a skilled Tableau / Power BI Developer to design, develop, and maintain interactive dashboards, reports, and data visualizations that enable data-driven decision-making across the organization. The ideal candidate will combine a strong understanding of data structures with excellent visual storytelling and stakeholder collaboration skills. Responsibilities 1. Dashboard & Report Development Design and develop interactive, user-friendly dashboards and reports using Tableau and/or Power BI. Translate business requirements into compelling visualizations that highlight trends, KPIs, and actionable insights. Optimize dashboards for performance, scalability, and usability. 2. Data Modeling & Preparation Build robust data models and transform datasets using Power BI DAX, Power Query, and Tableau data prep tools. Collaborate with data engineers to ensure high-quality, curated, and governed data sources are used. 3. Business Engagement Work closely with business stakeholders to gather requirements, iterate on design, and deliver meaningful insights. Provide guidance on self-service BI and support users in leveraging dashboards effectively. 4. Maintenance & Documentation Maintain and enhance existing reports, dashboards, and data sources. Ensure thorough documentation of data logic, visualizations, and data lineage. 5. Quality, Governance & Standards Ensure visualizations follow enterprise design standards, data governance, and security protocols. Apply version control, testing, and deployment best practices. Qualifications Careers Privacy Statement ***Keysight is an Equal Opportunity Employer.**Required: 5+ years of experience developing dashboards and data models using Tableau and/or Power BI. Proficiency in SQL and experience working with cloud data platforms (e.g., Snowflake, Redshift, BigQuery). Strong skills in data visualization best practices and data storytelling. Familiarity with DAX, Power Query, and Tableau s calculated fields and LOD expressions. Experience working in Agile or fast-paced environments with business stakeholders. Preferred: Exposure to enterprise systems such as Salesforce, Oracle ERP, or SAP. Experience with Row-Level Security (RLS), performance tuning, and dashboard usage monitoring. Knowledge of Tableau Server or Power BI Service for publishing, scheduling, and managing content. 1. Dashboard & Report Development Design and develop interactive, user-friendly dashboards and reports using Tableau and/or Power BI. Translate business requirements into compelling visualizations that highlight trends, KPIs, and actionable insights. Optimize dashboards for performance, scalability, and usability. 2. Data Modeling & Preparation Build robust data models and transform datasets using Power BI DAX, Power Query, and Tableau data prep tools. Collaborate with data engineers to ensure high-quality, curated, and governed data sources are used. 3. Business Engagement Work closely with business stakeholders to gather requirements, iterate on design, and deliver meaningful insights. Provide guidance on self-service BI and support users in leveraging dashboards effectively. 4. Maintenance & Documentation Maintain and enhance existing reports, dashboards, and data sources. Ensure thorough documentation of data logic, visualizations, and data lineage. 5. Quality, Governance & Standards Ensure visualizations follow enterprise design standards, data governance, and security protocols. Apply version control, testing, and deployment best practices.

Overview Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 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 powerful, award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. Diversity, equity & inclusion are integral parts of our culture and drivers of innovation at Keysight. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. We are seeking a Senior Data Engineer with strong expertise in Snowflake and functional knowledge of Sales and Services data domains to help us build scalable, trusted data products that enable sales optimization, customer success, and services transformation. You ll lead the design and development of high-performance data pipelines supporting critical use cases like sales forecasting, renewals, churn prediction, cross-sell/upsell insights, and field service analytics. Responsibilities 1. Snowflake Platform & Pipeline Development Lead the architecture and development of robust, scalable ELT pipelines in Snowflake to integrate data across Sales (e.g., Salesforce), Services, Customer, and Financial systems. Build data models and marts to support customer 360 views, sales pipeline tracking, renewal performance, and service operations metrics. Partner with analytics teams to ensure data structures support predictive modeling, segmentation, and opportunity scoring. 2. Functional Understanding & Business Partnership Work closely with Sales Ops, Service Ops, and Customer Success teams to translate business needs into scalable Snowflake-based data solutions. Understand key sales metrics (e.g., bookings, pipeline, win rate, renewal rate) and service KPIs (e.g., resolution time, service attach rate) to drive relevant data designs. Lead workshops with functional stakeholders to gather requirements, prioritize data assets, and define SLA-based deliverables. 3. Data Modeling & Performance Optimization Design performant and reusable data models tailored for sales forecasting, churn risk analysis, and services coverage optimization. Tune Snowflake compute and storage performance using Warehouse scaling, Resource Monitors, and Query Profiles. Apply cost governance practices to monitor and optimize platform efficiency. 4. Governance, Quality & Security Implement and manage RBAC, secure views, and data masking policies to ensure only authorized access to sensitive sales/customer/service data. Work with governance teams to maintain trusted data dictionaries, lineage, and quality rules across domains like lead-to-cash, case management, and customer entitlements. Support compliance with privacy regulations (e.g., GDPR) across customer and engagement data. Qualifications Careers Privacy Statement ***Keysight is an Equal Opportunity Employer.**Required: 5+ years of experience in data engineering, with 3+ years focused on Snowflake development and architecture. Strong understanding of Sales and Services business processes, KPIs, and data flows (e.g., CRM, CPQ, renewals, service cases). Proficiency in SQL, Python, and modern ELT tools such as Matillion, dbt, or Fivetran. Proven experience integrating Snowflake with Salesforce, ERP, and service ticketing systems. Hands-on experience with data modeling, data quality frameworks, and cloud-based pipeline orchestration. Preferred: Snowflake SnowPro Certification. Experience working in Agile/Scrum teams supporting Sales Operations, Customer Success, or Field Service functions. Familiarity with BI/analytics tools like Tableau or Power BI and their integration with Snowflake. Exposure to predictive use cases like churn modeling, account scoring, and customer segmentation. 1. Snowflake Platform & Pipeline Development Lead the architecture and development of robust, scalable ELT pipelines in Snowflake to integrate data across Sales (e.g., Salesforce), Services, Customer, and Financial systems. Build data models and marts to support customer 360 views, sales pipeline tracking, renewal performance, and service operations metrics. Partner with analytics teams to ensure data structures support predictive modeling, segmentation, and opportunity scoring. 2. Functional Understanding & Business Partnership Work closely with Sales Ops, Service Ops, and Customer Success teams to translate business needs into scalable Snowflake-based data solutions. Understand key sales metrics (e.g., bookings, pipeline, win rate, renewal rate) and service KPIs (e.g., resolution time, service attach rate) to drive relevant data designs. Lead workshops with functional stakeholders to gather requirements, prioritize data assets, and define SLA-based deliverables. 3. Data Modeling & Performance Optimization Design performant and reusable data models tailored for sales forecasting, churn risk analysis, and services coverage optimization. Tune Snowflake compute and storage performance using Warehouse scaling, Resource Monitors, and Query Profiles. Apply cost governance practices to monitor and optimize platform efficiency. 4. Governance, Quality & Security Implement and manage RBAC, secure views, and data masking policies to ensure only authorized access to sensitive sales/customer/service data. Work with governance teams to maintain trusted data dictionaries, lineage, and quality rules across domains like lead-to-cash, case management, and customer entitlements. Support compliance with privacy regulations (e.g., GDPR) across customer and engagement data.

Overview Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 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 powerful, award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. Diversity, equity & inclusion are integral parts of our culture and drivers of innovation at Keysight. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. We are looking for a Manager - AI & Machine Learning Engineering to lead a team of ML engineers in developing and deploying high-impact machine learning solutions across core enterprise functions including Sales, Service, Finance, Order Fulfillment, and Supply Chain. This role requires a strong mix of technical leadership, people management, and strategic alignment to guide ML engineers from ideation through production deployment. You ll play a key role in shaping the AI/ML delivery roadmap, establishing scalable engineering practices, and driving value through predictive models integrated into critical business workflows. Responsibilities 1. Team Leadership and Talent Development Manage, coach, and grow a high-performing team of machine learning engineers, promoting a culture of innovation, collaboration, and continuous learning. Provide technical direction, architectural oversight, and career mentorship. Define team objectives and success metrics aligned with enterprise priorities. 2. Program Execution and Delivery Drive the successful execution of ML use cases such as customer churn prediction, upsell opportunity scoring, demand forecasting, and operational risk detection. Work closely with data science, data engineering, product, and business stakeholders to define and deliver scalable ML solutions. Oversee delivery timelines, model development, deployment readiness, and feedback integration. 3. ML Engineering and MLOps Strategy Establish best practices in model development, deployment, and monitoring, using tools like MLflow, SageMaker, Azure ML, Airflow, or Kubeflow. Guide the team in implementing CI/CD for ML pipelines, model versioning, feature stores, and performance monitoring. Champion a strong foundation in software engineering, code quality, and reusability in ML development. 4. Functional & Cross-Domain Focus Align ML efforts with key business domains such as Sales (lead scoring, renewals), Service (case triage), Finance (forecasting), Order Fulfillment (ETA, risk), and Supply Chain (inventory planning, logistics optimization). Collaborate with business owners to prioritize high-impact ML use cases and ensure adoption and value realization. 5. Technology & Architecture Oversight Partner with data platform and infrastructure teams to scale ML solutions using Snowflake, Datarobots, and enterprise cloud platforms (AWS, Azure, GCP). Ensure ML models integrate seamlessly with business systems such as Salesforce, Oracle Fusion Cloud, and other operational tools. Qualifications Careers Privacy Statement ***Keysight is an Equal Opportunity Employer.**Required: 8+ years of experience in machine learning, data science, or engineering roles, with 3+ years in a technical leadership or management capacity. Proven experience building and deploying machine learning solutions in production environments. Hands-on background with Python, ML frameworks (scikit-learn, PyTorch, TensorFlow), and orchestration tools. Strong understanding of MLOps practices, model lifecycle management, and pipeline automation. Experience working with cross-functional stakeholders to deliver ML-powered business solutions. Preferred: Experience supporting business functions such as Sales, Finance, or Supply Chain with applied ML. Familiarity with cloud platforms (AWS, Azure, or GCP) and enterprise data tools (Snowflake, dbt, Matillion). Exposure to enterprise platforms such as Oracle Fusion Cloud, Salesforce, or ServiceNow. 1. Team Leadership and Talent Development Manage, coach, and grow a high-performing team of machine learning engineers, promoting a culture of innovation, collaboration, and continuous learning. Provide technical direction, architectural oversight, and career mentorship. Define team objectives and success metrics aligned with enterprise priorities. 2. Program Execution and Delivery Drive the successful execution of ML use cases such as customer churn prediction, upsell opportunity scoring, demand forecasting, and operational risk detection. Work closely with data science, data engineering, product, and business stakeholders to define and deliver scalable ML solutions. Oversee delivery timelines, model development, deployment readiness, and feedback integration. 3. ML Engineering and MLOps Strategy Establish best practices in model development, deployment, and monitoring, using tools like MLflow, SageMaker, Azure ML, Airflow, or Kubeflow. Guide the team in implementing CI/CD for ML pipelines, model versioning, feature stores, and performance monitoring. Champion a strong foundation in software engineering, code quality, and reusability in ML development. 4. Functional & Cross-Domain Focus Align ML efforts with key business domains such as Sales (lead scoring, renewals), Service (case triage), Finance (forecasting), Order Fulfillment (ETA, risk), and Supply Chain (inventory planning, logistics optimization). Collaborate with business owners to prioritize high-impact ML use cases and ensure adoption and value realization. 5. Technology & Architecture Oversight Partner with data platform and infrastructure teams to scale ML solutions using Snowflake, Datarobots, and enterprise cloud platforms (AWS, Azure, GCP). Ensure ML models integrate seamlessly with business systems such as Salesforce, Oracle Fusion Cloud, and other operational tools.

Overview Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 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 powerful, award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. Diversity, equity & inclusion are integral parts of our culture and drivers of innovation at Keysight. 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 Responsible for analysis and evaluation of user business problems and development of business system or process recommendations to meet requirements, including problem definition, evaluation of requirements, and implementation of systems/processes. May participate in business systems planning to define or upgrade business applications or functional solutions. May serve as business liaison to IT. This role may involve a significant amount of project management. Leads project planning, development., progress reporting, issue resolution and delivery of results. Interprets requirements, identifies project scope, plans and directs schedules, monitors project ROI, assigns tasks and tracks performance and milestone achievement. Ensures effective communication across teams/functions. Keeps management informed of progress, key issues and changes which may impact the business. − Design and Development: Analyze, solution design and execute design, development and deployment of tools using technologies like ASP.NET with C#,MVC, Angular, SQL (All Versions), Good in OOPS Concept. MSBI for ETL operations, SharePoint Tech, etc. − Provide Support and Maintenance of the tools developed using the above technologies. Qualifications Careers Privacy Statement ***Keysight is an Equal Opportunity Employer.*** − Work Experience 3-4 years post qualification experience in Design & Development of tools using technologies like ASP.NET with C#, MVC, SQL (All Latest Versions), OOPS Concepts, MSBI for ETL operations. − Basic understanding of Finance/Accounting and processes − Any knowledge to BOT development will be Bonus to this position. Key Knowledge & Skill Requirement − ASP.NET with C#,MVC, Angular, SQL (All Latest Versions), OOPS Concepts, SharePoint tech, MSBI for ETL operations, , − Sound Solution Engineering Skills along with design and development of new tools. − Ability to do coding independently, debugging skills, using the above technologies. − Must be system oriented & have an interest/ aptitude for developing skills in new applications. − Demonstrate customer orientation and sense of urgency to all deliverables. − Understanding of Change Management Process, Autonomy to change processes, solve problem. − Knowledge of Quality Processes used for managing projects and programs. − Timely project completion Show more Show less