Senior Manager, Supply Chain Data Science & AI Operationalization

Applied Materials
Santa Clara
Workplace: OnsiteFull timeUSD 193,500 - 266,000Function: Data Science & Machine LearningExperience: 8-12 yearsEducation: bachelorsSkills: ["Leadership","Communication","Problem-solving","Stakeholder management"]

Lead hands-on delivery of AI operationalization for supply chain analytics, turning one-off analyses into governed, automated, always-on workflows. Own execution for Global Service Operations analytics roadmaps and SLAs, and build repeatable AI-assisted agents and workflows using governed production practices (lineage, monitoring, model lifecycle). Manage and mentor a small team of analysts, applying SQL, Python, Databricks/lakehouse, BI, and LLM methods (RAG, agentic workflows) to deliver measurable business impact.

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FursaFursa
Applied Materials
Applied Materials
4 days ago

Senior Manager, Supply Chain Data Science & AI Operationalization

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Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Lead hands-on delivery of AI operationalization for supply chain analytics, turning one-off analyses into governed, automated, always-on workflows. Own execution for Global Service Operations analytics roadmaps and SLAs, and build repeatable AI-assisted agents and workflows using governed production practices (lineage, monitoring, model lifecycle). Manage and mentor a small team of analysts, applying SQL, Python, Databricks/lakehouse, BI, and LLM methods (RAG, agentic workflows) to deliver measurable business impact.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Manager level

Key Responsibilities

  • •Embed AI, generative AI, and LLM-based methods into supply chain analytics production using governed, automated workflows that scale without adding headcount.
  • •Lead delivery of supply chain analytics across Global Service Operations (Procurement, Order Fulfillment, Reverse Value Chain, supplier operations), owning execution against roadmap and delivery SLAs.
  • •Build and ship repeatable AI-assisted workflows and agents that convert recurring manual work into reusable, governed tools with lineage, monitoring, and clear ownership.
  • •Establish AI operationalization practices including prompt/model evaluation, human-in-the-loop controls, versioning, monitoring, and governance.
  • •Plans, manages, and controls activities of a team of analysts providing business intelligence and strategic planning support, including mentoring and performance of delivery against cycle-time and quality standards.
Travel: Low travel

Pay and Benefits

Salary: USD 193,500 - 266,000
Equity and Bonus:Equity

Key Requirements

  • •Hands-on experience delivering AI and analytics in a supply chain context with measurable business results (dollars, cycle time, or hours reclaimed).
  • •Taken analytics from notebooks to governed production with data lineage, monitoring, and clear ownership.
  • •Deep technical foundation in SQL, Python, Databricks/lakehouse, and enterprise BI.
  • •Applied AI tooling experience with LLMs and generative AI (RAG, agentic workflows) and MLflow or equivalent.
  • •People leadership experience leading or mentoring analysts and managing delivery against demand.
Experience:8-12 yearsSupply chainAnalyticsAILLMs
Education:Bachelor's
Skills:LeadershipCommunicationProblem-solvingStakeholder management
Tech Stack:SQLPythonDatabricksLakehouseBILLMsGenerative AIRAGAgentic workflowsMLflowMLOpsEnterprise applicationKubernetesOpenShiftAzure MLAzure Red Hat OpenShift

Company Brief

Applied Materials
Provides semiconductor manufacturing equipment, services, and software used to build advanced chips and display technologies. Its tools support materials engineering, deposition, etching, inspection, and process control for major electronics manufacturers worldwide.
Industry: Industrial Machinery
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1967
Glassdoor
Glassdoor: 3.9
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