Applied Materials, Inc

Senior Manager, Supply Chain Data Science & AI Operationalization

Applied Materials, Inc • $193K — $266K *
Santa Clara, CA 95051In-Person
Manufacturing & Automotive
8 - 10 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 5-12 years of hands-on experience in AI delivery and supply chain analytics with proven business impact.
  • Proficient in SQL, Python, and using platforms like Databricks for enterprise BI.
  • Expertise in applied AI tooling including LLMs and generative AI methods.
  • Experience deploying analytics on MLOps platforms such as ARO or Kubernetes.
  • Demonstrated people leadership skills with experience managing teams of analysts.

Responsibilities

  • Drive the operationalization of AI in supply chain analytics, transitioning from manual analysis to automated workflows.
  • Lead analytics delivery across Global Service Operations, managing execution against roadmaps and delivery standards.
  • Develop repeatable, AI-assisted workflows to convert manual tasks into governed tools.
  • Transition high-value analytical tools from prototype to governed production with monitoring and clear data lineage.
  • Establish AI operationalization practices, ensuring outputs are reliable and decision-ready.
  • Manage a team of analysts providing intelligence and strategic planning support.
  • Lead project teams in designing systems for analyzing diverse big data sources and communicate insights to management.

Benefits

  • Comprehensive benefits package.
  • Relocation assistance available.
  • Opportunities for participation in a bonus program.
  • Potential stock award program.
Full Job Description
Key Responsibilities
  • Drive strong AI operationalization as the core of the role: embed AI, generative AI and LLM-based methods into how supply chain analytics is produced, turning manual, one-off analyses into governed, automated, always-on workflows that scale output without adding headcount.
  • Lead delivery of supply chain analytics within Applied Materials' Global Service Operations (Procurement, Order Fulfillment, Reverse Value Chain and supplier operations), owning execution against the function's roadmap and delivery SLAs.
  • Build and ship the repeatable, AI-assisted workflows and agents that convert recurring manual work into reusable, governed tools, hands-on where it counts.
  • Take high-value tools from prototype to governed production (Databricks, BI hosting, enterprise application / MLOps hosting) with data lineage, monitoring, model lifecycle management and clear ownership.
  • Establish and apply AI operationalization practices: prompt and model evaluation, human-in-the-loop controls, versioning, monitoring and governance, so AI outputs are trusted and decision-ready.
  • Plans, manages and controls the activities of a team of analysts that provides business intelligence and strategic planning support for the business.
  • Leads project teams to design and develop the methods, processes and systems that consolidate and analyze structured and unstructured, diverse "big data" sources; communicates insights and findings to business management to improve business processes.
  • Performs and directs complex statistical and data-mining analysis; provides input on and design of data acquisition systems, data structure and database design.
  • Brings expertise or identifies subject-matter experts in support of multi-functional efforts to identify, interpret and produce recommendations based on company and external data.
  • Helps business groups understand their data; applies analytics to derive insights and works with the business to determine actions and KPIs for those actions.
  • Selects, develops and evaluates personnel, ensuring efficient operation of the function.
  • Leads or participates in project teams developing analytical models, algorithms and automated processes, applying SQL and Python, to cleanse, integrate and evaluate large datasets.
  • Tracks delivery cycle time, quality and business impact (dollars influenced, hours reclaimed) and reports to the function lead.


Functional Knowledge
  • Regarded as the technical expert in supply chain analytics and AI operationalization: SQL, Python, Databricks / lakehouse, BI, and applied AI / LLMs (RAG, agentic workflows) used to productionize workflows.
  • Demonstrates in-depth expertise in own discipline and broad knowledge of other disciplines within the function.


Business Expertise
  • Understands supply chain economics (procurement, inventory, repair and reverse value chain, order fulfillment, supplier performance); anticipates business issues and recommends process, product or service improvements.


Leadership
  • Leads projects with notable risk and complexity; develops the strategy for project execution and mentors analysts to raise the delivery bar.


Problem Solving
  • Solves unique and complex problems with broad business impact; reframes recurring manual analyses as automatable, governed capabilities rather than point solutions, using conceptual and innovative thinking.


Impact
  • Impacts the direction and resource allocation for programs and projects; delivers governed, AI-assisted tools that compound in value across the supply chain, within general functional policies and industry guidelines.


Interpersonal Skills
  • Communicates complex ideas, anticipates objections and persuades others, often at senior levels, to adopt a different point of view; partners with function stakeholders as collaborators, not ticket submitters.

About the role

A hands-on delivery leadership role. Applied Materials' Global Service Operations moves billions of dollars of parts, repairs and inventory across Procurement, Order Fulfillment and the Reverse Value Chain. The analytics that steer those decisions today are strong, and ready to be amplified with AI at scale. You will turn the function's roadmap into shipped, governed, AI-assisted tools, building where it counts, leading a small team of analysts, and holding delivery to clear cycle-time and quality standards.

First-year outcomes
  • The highest-value analyses in your domain converted from one-off manual work to repeatable, governed, AI-assisted workflows.
  • Key tools graduated from notebooks to governed production, each with lineage, monitoring and a named owner.
  • Delivery consistently meeting published cycle-time and quality SLAs, with measurable reduction in turnaround.
  • A small analyst team leveled up, with raised standards and reduced key-person risk.

Required qualifications
  • Hands-on experience delivering AI and analytics in a supply chain context, with measurable business results (dollars, cycle time or hours reclaimed).
  • Strong builder: has taken analytics from notebooks to governed production with lineage, monitoring and clear ownership.
  • Deep technical foundation: SQL, Python, Databricks / lakehouse, enterprise BI.
  • Applied AI tooling: LLMs and generative AI (RAG, agentic workflows), MLflow or equivalent, AI-assisted development tools.
  • Experience deploying governed services on an enterprise application / MLOps platform such as ARO (Azure Red Hat OpenShift) or equivalent (Kubernetes / OpenShift, Azure ML, cloud-native).
  • People leadership: has led or mentored analysts and managed delivery against demand.
  • Partners with function stakeholders to translate their decisions into analytics they act on.

Preferred qualifications
  • Semiconductor, high-tech or complex global supply chain experience (parts, repair, reverse logistics, order fulfillment).
  • Domain depth in reverse value chain / repair, inventory optimization, supplier performance or on-time-delivery analytics.
  • Contributed to standing up an AI / analytics center of excellence or MLOps practice.

Education and experience
  • Bachelor's degree required; advanced quantitative degree preferred. 8 to 12 years in data science / advanced analytics, including hands-on supply chain analytics and AI delivery and some team leadership.


Relocation Available

Additional Information

Time Type:
Full time

Employee Type:
Assignee / Regular

Travel:
Yes, 10% of the Time

Relocation Eligible:
No

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.

About Applied Materials, Inc

Applied Materials specialize in materials engineering solutions. They optimize equipment and fab operations through consulting, spare parts, services, and automation software. They also provide supply chain services from transactional spares through programs, rebuilds, and forecasted parts management. Their products and technologies include semiconductors, displays, roll web coating, solar, and automation software.

**Applied Materials, Inc. Careers**

Join the innovative world of Applied Materials, Inc., a leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our global team is driving innovation and growth in the industries we serve. This is where your expertise can make a true impact.

Work You’ll Do

At Applied Materials, Inc., you will be part of a company that prides itself on fostering a culture of innovation, diversity, and professional growth. As a member of our team, you will lead groundbreaking projects at the intersection of technology, leadership, and engineering excellence. We offer a variety of job opportunities that allow you to explore your potential and push the boundaries of what's possible.

Innovate and Lead

Join a team where innovation is at the heart of everything we do. You will work alongside the brightest minds in the industry, utilizing your skills to contribute to projects that are not only exciting but also crucial for technological advancements. Our leadership is committed to providing you with the guidance and support needed to achieve your career goals.

Career Growth and Opportunities

Whether you are looking for an internship, a full-time position, or leadership roles, Applied Materials, Inc. provides an array of career paths to help you achieve your professional aspirations. Our commitment to career growth is evident through extensive training programs and opportunities for advancement.

Diversity and Inclusion

At Applied Materials, Inc., we believe that diversity fuels innovation. We are dedicated to building a diverse team that reflects the global communities we serve. Our diversity training programs are designed to enhance collaboration and foster an inclusive environment where all employees can thrive.

Benefits and Culture

Our employees enjoy a range of benefits that support both their professional and personal lives. From health and wellness programs to competitive retirement plans, we ensure that our team is taken care of. The culture at Applied Materials, Inc. is built on collaboration, respect, and a commitment to excellence.

Join Our Team

Explore the job opportunities at Applied Materials, Inc. and find the position that matches your skills and passions. We are continuously hiring and looking for individuals who are curious, creative, and ready to drive innovation in a dynamic industry.

Stay Connected

Keep up to date with the latest company news, career tips, and industry insights by joining our network. Engage with us on professional networking platforms and stay ahead in your career journey.

Apply Now

Ready to take the next step in your career? Submit your resume, prepare for your interview, and join a team that’s dedicated to materializing the technologies of tomorrow. Discover the impact you can make at Applied Materials, Inc. and help us shape the future.

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--- This page for Applied Materials, Inc. Careers incorporates all the requested elements, maintaining the "Company Content Style" with a focus on innovation, career growth, and the dynamic team environment.
Learn more about Applied Materials, Inc
Size
27,000 employees
Market Cap
$80.7 billion
Industry
Manufacturing & Automotive
Net Income
$3.8 billion
Founded
1967
5 Year Trend
+11.9%
Revenue
$18.2 billion
NASDAQ
AMAT
* Ladders Estimates

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