AI-Driven HR Tech Analyst

Applied Materials, Inc.; Santa Clara (CA); On-site; USD 106,000 - 146,000; Full time

Job summary

Applied Materials, Inc. is seeking an AI Business Analyst for HR Technology in Santa Clara to drive AI initiatives across HR processes and the Workday ecosystem.

You will partner with HR COEs, GIS, and data science teams to translate business needs into technical AI requirements and deliver scalable solutions. The role emphasizes pilot deployments, stakeholder collaboration, and continuous improvement of the employee experience through AI-enabled automation and analytics.

Qualifications

• Strong understanding of functional HR domains (e.g., Core HR, Total Rewards, Talent).
• Deep expertise in Workday platform capabilities (e.g., Business Process Framework, Reporting).
• Demonstrated understanding of AI applications in HR (e.g., Chatbots, NLPs, Predictive Analytics).

Responsibilities

• Partner with HR COEs to identify AI use cases across HR.
• Evaluate the AI features and functionality within our current technology stack and recommend ways to utilize these features to enhance employee experience and process optimization initiatives.
• Provide ongoing support for the AiMEE chatbot ensuring functionality, relevance and user satisfaction.
• Collaborate with stakeholders to identify and prioritize new use cases for AiMEE for global scalability.
• Lead and support pilot deployments of AiMEE across countries, gathering feedback and refining the experience for global scalability.

Skills

HR Domain Knowledge

Workday Expert

AI in HR

Tools

Workday

Job description

Applied Materials, Inc. is seeking an AI Business Analyst for HR Technology in Santa Clara to drive AI initiatives across HR processes and the Workday ecosystem.

You will partner with HR COEs, GIS, and data science teams to translate business needs into technical AI requirements and deliver scalable solutions. The role emphasizes pilot deployments, stakeholder collaboration, and continuous improvement of the employee experience through AI-enabled automation and analytics.