Strategic Sourcing AI & Automation Intern

Location: Spring, Texas, United States of America

Strategic Sourcing AI & Automation Intern

This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.

Who We Are

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description

Job Family Definition

Students currently pursuing an undergraduate or graduate degree in areas such as Business Analytics, Supply Chain, Information Systems, Computer Science, Data Science, Artificial Intelligence, Industrial Engineering, Finance, Economics, or a related discipline. Applies academic knowledge, analytical thinking, emerging technologies, and creative problem-solving to real business challenges. Collaborates with business and technical stakeholders to research, design, prototype, test, and improve solutions while developing practical professional experience.

Management Level Definition

Entry-level internship role that performs assigned work under the guidance of a supervisor or experienced team members. Contributes to project-based activities, develops practical knowledge of business processes and technologies, and builds professional skills through collaboration, analysis, experimentation, and delivery of defined project outcomes.

Responsibilities

Support the Strategic Sourcing organization 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 supporting negotiation preparation, supplier-risk identification, contract intelligence, and sourcing decision support.

Explore and apply technologies such as 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.

Education & Experience

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 required.

Previous internships, university projects, research, hackathons, analytics projects, or AI-related coursework are a plus.

Demonstrated interest in applying technology, analytics, and AI to solve real-world business problems is highly desirable.

Knowledge & Skills

Strong analytical and structured problem-solving skills.

Ability to break down ambiguous business problems into actionable components.

Strong written and verbal communication skills.

Ability to communicate technical concepts clearly to non-technical stakeholders.

Intellectual curiosity and willingness to learn new technologies and business processes.

Ability to work independently while collaborating 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.

Experience or coursework in one or more of the following is beneficial:

Generative AI and large language models.

Prompt engineering and AI workflow design.

Retrieval-augmented generation, semantic search, document chunking, or embeddings.

Python, SQL, Power Query, or similar analytical tools.

Microsoft Power BI or other data-visualization platforms.

Microsoft Power Platform, Copilot Studio, or similar low-code/no-code development tools.

APIs, data integration, or basic application development.

Structured and unstructured data analysis.

Extracting and analyzing information from PDF, Word, and Excel files.

Impact/Scope

University students actively enrolled in an accredited college, university, or academic institution and pursuing a Bachelor’s or Master’s degree in a relevant technical, analytical, business, or supply-chain discipline. The intern contributes to project-based in