As a Senior Data Informatics Manager at KLA, you will lead the strategy, development, and delivery of advanced AI/ML engineering solutions to enable data-driven decision-making, intelligent automation, and operational excellence. Your role will involve shaping and scaling solutions in areas such as predictive analytics, workflow automation, quality intelligence, conversational AI, and enterprise data science. **Key Responsibilities:**
Lead the vision, roadmap, and execution of enterprise AI/ML and data informatics initiatives to improve operational efficiency, decision support, and service quality. - Drive the design, development, and deployment of advanced analytical solutions using various techniques including classification, clustering, regression, and neural networks. - Oversee the development of Generative AI and NLP-based solutions, including applications involving summarization, sentiment analysis, and automation. - Lead the creation of context-aware conversational systems, including RAG-enabled assistants and chatbot platforms. - Guide the implementation of agentic AI systems to automate workflows and enhance enterprise decision-making. - Partner with cross-functional stakeholders to identify high-value opportunities and translate them into scalable AI/ML solutions. - Establish best practices across the AI/ML lifecycle, including data preparation, model development, deployment readiness, and continuous improvement. - Mentor and develop high-performing teams of data scientists and ML engineers. - Communicate technical strategy and solution value effectively to senior leaders and stakeholders. **Required Qualifications:**
Masters degree or higher in Data Science, Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline. - 5+ years of experience in data science, analytics, machine learning, or informatics. - Expertise in machine learning, statistical methods, and Generative AI technologies. - Strong experience in text analytics, sentiment analysis, and unstructured data processing. - Proficiency in modern analytics and ML development tools such as Python, R, and TensorFlow. - Strong communication and leadership capabilities. **Preferred Qualifications:**
Experience leading teams in data science or AI/ML engineering environments. - Hands-on experience with automation and agentic AI. - Ability to adopt emerging technologies effectively. In summary, as a Senior Data Informatics Manager at KLA, you will have the opportunity to lead impactful AI/ML initiatives, work with cutting-edge technologies, and contribute to the advancement of the semiconductor manufacturing ecosystem. As a Senior Data Informatics Manager at KLA, you will lead the strategy, development, and delivery of advanced AI/ML engineering solutions to enable data-driven decision-making, intelligent automation, and operational excellence. Your role will involve shaping and scaling solutions in areas such as predictive analytics, workflow automation, quality intelligence, conversational AI, and enterprise data science. **Key Responsibilities:**
Lead the vision, roadmap, and execution of enterprise AI/ML and data informatics initiatives to improve operational efficiency, decision support, and service quality. - Drive the design, development, and deployment of advanced analytical solutions using various techniques including classification, clustering, regression, and neural networks. - Oversee the development of Generative AI and NLP-based solutions, including applications involving summarization, sentiment analysis, and automation. - Lead the creation of context-aware conversational systems, including RAG-enabled assistants and chatbot platforms. - Guide the implementation of agentic AI systems to automate workflows and enhance enterprise decision-making. - Partner with cross-functional stakeholders to identify high-value opportunities and translate them into scalable AI/ML solutions. - Establish best practices across the AI/ML lifecycle, including data preparation, model development, deployment readiness, and continuous improvement. - Mentor and develop high-performing teams of data scientists and ML engineers. - Communicate technical strategy and solution value effectively to senior leaders and stakeholders. **Required Qualifications:**
Masters degree or higher in Data Science, Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline. - 5+ years of experience in data science, analytics, machine learning, or informatics. - Expertise in machine learning, statistical methods, and Generative AI technologies. - Strong experience in text analytics, sentiment analysis, and unstructured data processing. - Proficiency in modern analytics and ML development tools such as Python, R, and TensorFlow. - Strong communication and leadership capabilities. **Preferred Qualifications:**
Experience leading teams in data science or AI/ML engineering environments. - Hands-on experienc
