Manager - AI and Analytics
Applied Materials
- Location
- Santa Clara,CA
- Work model
- On-Site
- Level
- Mid
- Salary
- $184k – $253k/yr
- H-1B history
- 125 approvals (FY2023)
- Posted
- Aug 28, 2026
About this role
Who We Are
Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world’s technology.
What We Offer
Salary: $184,000.00 - $253,000.00 Location: Santa Clara,CA You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more. At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits .
Key Responsibilities
Negotiate with customers to architect and design business BI and data management application and platform solutions to address complex cross functional and technical needs, and converts design to functional and technical specifications. Identifies and recommend industry BKM's for integrated solution design and standards. Manage BI,, Big Data and AI/Ml software application and platform configuration and/or coding, including query and report building, dashboard creation, and master data and integration object development. Introduce and manage BKMs for delivery of self service models. Responsible for the Data Science lifecycle including data curation, and model,build, test and deployment. Lead overall testing (unit, integration, performance, acceptance) and data conversions using standard tools and following established processes and guidelines. Oversees contingent workers performing configuration, coding and object development work. Perform Quality assurance. Manage the execution of BI application and platform evaluations and POC's. Assess vendor strategies, roadmaps and next generation technologies, and recommend changes to architectural strategy and technology roadmap. Manage personnel providing business Intelligence, big data or AI/ML application and platform support services to meet performance, availability, customer service level agreement, and customer satisfaction targets. Monitors specific IT systems or set of systems for availability, performance and capabilities and reports anomalies through predefined process. Manages completion of root cause analysis and resolution of complex outages or incident trends working with infrastructure and technical teams, support providers and application vendors. Recommends and executes required corrective actions. Participate in evaluation and recommendation of patches, point releases, major upgrades and new systems. Deliver and manage personnel ressponsible for the delivery of BI, Big Data and AI/ML project and support services within area of responsibility within allocated budget. Develops project budgets. Develops understanding cost model and cost drivers for service(s) and recommend service area budgets and cost optimization activities. May be responsible for timely renewal of maintenance and subscription contracts. Adheres to and manages junior staff to adhere to GIS project management, software application development, testing, service management, change management, RCA and other relevant processes, standards, governance and controls. May manage execution of sox contols and testing, and support internal and external audits. Plan and manage medium to large scale Business intelligence, Big Data or AI/ML application or