Supply Chain Advanced Analytics Management - (B3)

Role: Supply Chain Advanced Analytics Management - (B3)

Location: Santa Clara, CA (On-site)

As part of the Applied Global Services (AGS) network optimization team, your primary role will be to apply supply chain advanced analytics and optimization approaches to solve complicated network problems including distribution network design, transportation mode and routing, inventory hub and spoke, warehousing capacity, and other areas where simulation and modeling can bring significant cost and service improvements. This position will be the subject matter expert in the use of data science, machine learning, and similar advanced optimization techniques in the field of supply chain operations. In this highly visible role, you will collaborate with key functional stakeholders to gain expertise in the technical and functional areas of supply chain optimization.

Minimum Qualifications

• A graduate degree in a quantitative OR operations field such as Operations Research, Industrial Engineering, Supply Chain, Statistics or related major
• 7-10 years of overall experience in supply chain analytics, logistics, transportation, or related function
• 5+ years of hands-on experience with data modeling using SQL, Python, etc. Solid understanding of statistical modeling techniques such as regression, classification, decision trees, etc
• 5+ years of hands-on experience using optimization software such as Gurobi, CPLEX, or Xpress. Experience with machine learning algorithms such as clustering, classification, reinforcement learning, and experience using OR multi-objective linear programming (LP), mixed-integer linear programming (MILP), and other optimization approaches

Preferred Qualifications

• MBA/MS degree and demonstrated work experience in solving supply chain optimization problems is highly desired
• SAP or similar ERP, WMS software user experience is a plus
• Semiconductor/Tech industry experience is a plus
• Spares & Service, aftermarket domain experience is a plus
• Willingness to roll up your sleeves and do whatever is necessary to achieve program objectives

Key Responsibilities

• Develop and expand the utilization of advanced supply chain analytics techniques and collaborate with stakeholders to solve practical problems in areas such as network design, fulfillment operations, logistics, and planning, etc.
• As a supply chain optimization practitioner, develop proofs-of-concept and lead continuous improvement projects (CIP) resulting from network analytics to reduce supply chain costs and/or increase service performance
• Develop a good understanding of current network design, planning and fulfillment policies, warehousing and transportation operations for various modes (truckload, LTL, parcel and HWA freight, etc.), other related business processes critical for network optimization
• Manage the full lifecycle of cross-functional programs with considerable impact across multiple organizations. Project scope could be moderate to high in complexity and includes processes with outsourced logistics operations providers, freight forwarders
• Define the program, set objectives, analyze data, and drive improvements that are quantifiable with business metrics. Collaborate with cross-functional teams including IT organizations to deploy the improvements. Provide visibility into the roadmap, milestone, and tracking of program objectives
• Develop comprehensive output reports from optimization scenarios using Tableau, Power BI and support analytics improvement initiatives across network operations organization
• Manage multiple tasks and priorities concurrently and work well under tight timelines
• Contribute to thought leadership for the subject of supply chain optimization

Functional Knowledge

Demonstrates depth and/or breadth of expertise in own specialized discipline or field

Business Expertise

Demonstrates understanding of business, cross-functional, financial, and people aspects and ability to analyze business processes

Leadership

May lead functional teams or projects with moderate to high resource requirements, risk, and/or complexity without direct reporting authority over the project team

Problem Solving

The ability to structure complex problems, do root cause analysis with an eye for recognizing data patterns and process connections. Ability to deep-dive large sets of data from multiple sources, formulate/validate hypotheses, and make business recommendations

Impact

Work autonomously in an ambiguous environment yet collaborate in a matrixed team environment, seeking to understand business problems, attention to details, challenge status quo, and apply continuous innovation in a fast-paced environment

Interpersonal Skills

Excellent written and verbal communication skills and ability to successfully communicate ideas and sell strategic plans to cross-functional stakeholders. Ability to multi-task in a fast-paced environment

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Qualifications

Education:

Bachelor's Degree

Skills:

Certifications:

Languages:

Years of Experience:

4 - 7 Years

Work Experience:

Additional Information

Time Type:

Full time

Employee Type:

Assignee / Regular

Travel:

Yes, 20% of the Time

Relocation Eligible:

Yes

U.S. Salary Range:

$100,000.00 - $137,500.00

The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. 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.

For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement.

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.