Our Team:

The AGS Service Business Unit provides support to customers utilizing Applied Materials systems for wafer fabrication.

The opportunity and what you’ll do:

The candidate will work within a team to grow service revenue and improve margin performance with an emphasis on utilizing data analytics to improve the efficiency of existing programs and service offerings.

The ideal candidate will apply Engineering based understanding and data analytics to service agreements, and spare part trends to find correlations to guide strategy development.

Key Responsibilities:

• Uses data analytics to glean insights on how to grow service business revenue and margin.
• Uses data analytics to characterize performance of the AGS installed fleet and ties in this knowledge to service product development.
• Facilitates Intercompany communication to align on product strategies, provide guidance on pricing, spare level contents, and restricted part orders.
• Manage Strategic vendor Issues.
• Manage Product Development, Continuous Improvement Programs, changes, and communication.

Skills & Qualifications:

• Understand the key challenges customers face for specific products.
  • Platform specific challenges
  • Process specific challenges
  • Consumable specific challenges
• Understands key business drivers; uses this understanding to accomplish own work
  • Understand the key markets and segments for semiconductor manufacturing companies
  • Understand the key technology nodes within the market
  • Understand the value drivers for each segment and technology node
• Business acumen
  • Understand the key performance indicators of the business
    • Revenue
    • Gross Margin
    • Market Share
    • SAM
  • Understand how to generate reports to communicate past performance
  • Understand how to accurately forecast future performance
• Interprets internal and external business challenges and recommends best practices to improve products, processes, and/ or services.

• Solves problems in straightforward situations; analyzes possible solutions using technical experience and judgment and precedents 

• Utilizes analytic and business intelligence tools.
• Proficient with valuable data analysis tools:
  • Power BI
  • Excel
  • JMP
• Fundamental understanding of statistical analysis
  • Control charts
  • Control limits
  • Box plot analysis

Functional Knowledge:

• Demonstrates expanded conceptual knowledge in own discipline and broadens capabilities

Required Education and/or Certifications:

• Engineering Degree (Mechanical Engineering/Material Science, with Data Science/Analytics background is preferred, program management skill is a plus)

Years of Experience:

• 0-3 years’ experience in semiconductor and/or data analytics

Additional Information:

Travel %: Role dependent, can be 20% or greater

Relocation Eligible (Y/N): Y

Opportunity can be Remote (Y/N): N

Qualifications

Education:

Skills

Certifications:

Languages:

Years of Experience:

Work Experience:

Additional Information

Travel:

Relocation Eligible:

U.S. Salary Range:

The salary offered to a selected candidate will be based on a number of factors including location and level and will vary depending on confirmed job-related knowledge, skills, and experience.  In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable.

Applied Materials is an Equal Opportunity Employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.