Senior Data Informatics Manager – AIML Engineering Development

Job Description/Preferred Qualifications

Senior Data Informatics Manager AI/ML Engineering Development

We are seeking a highly accomplishedSenior Data Informatics Managerto lead the strategy development and delivery of advancedAI/ML engineering solutionsthat enable data-driven decision-making intelligent automation and operational excellence across the enterprise. This leader will play a critical role in shaping and scaling solutions spanningadvanced analytics machine learning Generative AI NLP large language models (LLMs) Retrieval-Augmented Generation (RAG) and agentic AI frameworks.

The ideal candidate brings a strong blend oftechnical depth applied innovation and business partnership with a track record of delivering high-impact solutions in areas such as predictive analytics workflow automation quality intelligence system intelligence conversational AI and enterprise data science.

Key Responsibilities

• Lead the vision roadmap and execution of enterpriseAI/ML and data informatics initiativesthat improve operational efficiency decision support and service quality.
• Drive the design development and deployment of advanced analytical solutions usingclassification clustering regression time series analysis neural networks and statistical modeling.
• Oversee the development ofGenerative AI and NLP-based solutions including applications involving summarization text mining sentiment analysis automation and LLM-enabled workflows.
• Lead the creation ofcontext-aware conversational systems includingRAG-enabled assistants chatbot platforms and knowledge-driven AI applications.
• Guide the implementation ofmulti-agent and agentic AI systemsto automate complex workflows improve orchestration and enhance enterprise decision-making.
• Partner closely with cross-functional stakeholders across engineering operations product cybersecurity and business teams to identify high-value opportunities and translate them into scalable AI/ML solutions.
• Establish and promote best practices across the AI/ML lifecycle including data preparation model development validation deployment readiness performance monitoring and continuous improvement.
• Mentor and develop high-performing teams of data scientists ML engineers and informatics professionals fostering technical excellence innovation and business impact.
• Communicate technical strategy solution value and execution progress effectively to senior leaders and diverse stakeholder groups.

Required Qualifications

• Masters degree or higher inData Science Computer Science Statistics Applied Mathematics Engineering or a related quantitative disciplinewith research focus indata mining machine learning text mining databases statistics and forecasting.
• 5 years of progressive experiencein data science analytics machine learning or informatics including experience delivering enterprise-scale solutions.
• Demonstrated expertise inmachine learning and statistical methods including classification clustering regression time series analysis hypothesis testing Bayesian analysis and neural networks.
• Strong experience withGenerative AI technologies includingLLMs OpenAI tools NLP techniques LangChain LangGraph AutoGen swarm or multi-agent frameworks and vector database-based architectures.
• Proven experience building or leading solutions involvingRAG advanced chatbots knowledge-aware AI systems and intelligent workflow automation.
• Expertise intext analytics summarization sentiment analysis and unstructured data processingfor real-world business applications.
• Proficiency with modern analytics and ML development tools such asPython R SAS TensorFlow PyTorch SQL and data visualization platforms.
• Strong communication and leadership capabilities with the ability to influence technical and business stakeholders and convert complex challenges into scalable solutions.

Preferred Qualifications

• Experience leading teams or mentoring technical professionals indata science AI/ML engineering or data informaticsenvironments.
• Hands-on experience withLLM-powered automation systems intelligence workflows or agentic AI.
• Demonstrated ability to quickly adopt emerging technologies and apply them effectively to create innovative production-relevant solutions.

Minimum Qualifications

• Masters degree or higher inData Science Computer Science Statistics Applied Mathematics Engineering or a related quantitative disciplinewith research focus indata mining machine learning text mining databases statistics and forecasting.
• 5 years of progressive experiencein data science analytics machine learning or informatics including experience delivering enterprise-scale solutions.
• Demonstrated expertise inmachine learning and statistical methods including classification clustering regression time series analysis hypothesis testing Bayesian analysis and neural networks.
• Strong experience withGenerative AI technologies includingLLMs OpenAI tools NLP techniques LangChain LangGraph AutoGen swarm or multi-agent frameworks and vector database-based architectures.

We offer a competitive family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment while ensuring we provide benefits that meet the diverse needs of our employees.

KLA is proud to be an equal opportunity employer

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