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Hewlett Packard Enterprise

Builds servers, networking and private cloud

Strategic Sourcing AI & Automation Intern

Procurement & SourcingPosted on Nov 9
InternshipSpring, TX, USA

About the Job

Requirements

  • Currently pursuing a Bachelor's or Master's degree in Business Analytics, Supply Chain, Information Systems, Computer Science, Data Science, Artificial Intelligence, Industrial Engineering, Finance, Economics, or a related field.
  • No prior professional experience is required.
  • Strong analytical and structured problem-solving skills, including the ability to break ambiguous business problems into actionable components.
  • Ability to communicate technical concepts clearly to non-technical stakeholders.
  • Ability to work independently and collaborate effectively across business and technical teams.
  • Strong attention to detail when working with financial, commercial, contractual, or supplier information.
  • Strong time-management skills and ability to deliver against defined project milestones.
  • Currently enrolled at an accredited college, university, or academic institution and pursuing a relevant Bachelor's or Master's degree.

Responsibilities

  • Support Strategic Sourcing through research, data analysis, process analysis, and project coordination.
  • Own or materially contribute to an AI, analytics, or automation project supporting Strategic Sourcing.
  • Collaborate with sourcing leaders, commodity managers, and cross-functional stakeholders to understand business challenges and define structured requirements.
  • Gather, organize, and analyze structured and unstructured information, including pricing records, contracts, supplier data, market intelligence, and other business documents.
  • Translate sourcing challenges into workflows, data requirements, solution concepts, and project deliverables.
  • Research, design, prototype, and test AI-enabled capabilities for negotiation preparation, supplier-risk identification, contract intelligence, and sourcing decision support.
  • Explore and apply generative AI, large language models, retrieval-augmented generation, semantic search, workflow automation, and data visualization where appropriate.
  • Develop dashboards, prototypes, user experiences, or decision-support tools that make sourcing information easier to access and use.
  • Test AI-generated outputs for accuracy, consistency, traceability, and business usefulness.
  • Document solution designs, data sources, assumptions, limitations, testing results, and opportunities for future development.
  • Participate in team meetings, project reviews, demonstrations, and periodic feedback sessions.
  • Present project results, potential business impact, and recommendations to Strategic Sourcing leadership.
  • Fulfill assigned tasks and responsibilities in a timely manner and deliver work against defined project milestones.
  • Follow company requirements for confidentiality, data protection, responsible AI use, and approved technology platforms when handling contracts, pricing, supplier information, personal data, or other business-sensitive content.
  • Contribute to project-based initiatives that improve how Strategic Sourcing professionals access information, identify opportunities and risks, prepare for negotiations, and make commercial decisions.
  • Support work that may reduce manual supplier negotiation preparation, surface historical pricing and commitments, identify supplier and supply-chain risks, locate contractual and commercial provisions, transform fragmented information into sourcing intelligence, and develop reusable AI-enabled approaches.

Desired Qualifications

  • Previous internships, university projects, research, hackathons, analytics projects, or AI-related coursework are beneficial.
  • Demonstrated interest in applying technology, analytics, and AI to real-world business problems is highly desirable.
  • Experience or coursework in generative AI and large language models is beneficial.
  • Experience or coursework in prompt engineering and AI workflow design is beneficial.
  • Experience or coursework in retrieval-augmented generation, semantic search, document chunking, or embeddings is beneficial.
  • Experience or coursework in Python, SQL, Power Query, or similar analytical tools is beneficial.
  • Experience or coursework in Microsoft Power BI or other data-visualization platforms is beneficial.
  • Experience or coursework in Microsoft Power Platform, Copilot Studio, or similar low-code/no-code development tools is beneficial.
  • Experience or coursework in APIs, data integration, or basic application development is beneficial.
  • Experience or coursework in structured and unstructured data analysis is beneficial.
  • Experience or coursework extracting and analyzing information from PDF, Word, and Excel files is beneficial.

About the Company

Hewlett Packard Enterprise

Builds servers, networking and private cloud

Hewlett Packard Enterprise sells servers, storage, networking and hybrid cloud software to large companies, governments and service providers. Its GreenLake platform lets customers run on-premises hardware as a metered cloud service, and its Cray supercomputers run national lab and AI training workloads. The networking business, built on Aruba and Juniper Networks, supplies campus, data-center and routing equipment. Revenue comes from hardware sales, multiyear support contracts, financing and subscriptions. The company traces its roots to Hewlett-Packard, founded in 1939, became a separate public company in 2015 and is headquartered in Houston, Texas.

Company size
10,001+
Company stage
IPO
Headquarters
Houston, TX
Founded
1939

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