Strategic Sourcing AI & Automation Intern

Hewlett Packard Enterprise • Spring, TX

12h • Hybrid

About The Position

Hewlett Packard Enterprise is seeking an intern to support its Strategic Sourcing organization through research, data and process analysis, and project coordination. The intern will own or materially contribute to an AI, analytics, or automation project that helps sourcing professionals access information, identify opportunities and risks, prepare for negotiations, and make commercial decisions.

The intern will work with sourcing leaders, commodity managers, and cross-functional stakeholders to understand business challenges and define requirements. Project work may include organizing and analyzing pricing records, contracts, supplier data, market intelligence, and other business documents; translating sourcing challenges into workflows and solution concepts; and researching, prototyping, and testing AI-enabled capabilities. Potential applications include negotiation preparation, supplier-risk identification, contract intelligence, and sourcing decision support. Technologies may include generative AI, large language models, retrieval-augmented generation, semantic search, workflow automation, and data visualization.

The intern may develop dashboards, prototypes, user experiences, or decision-support tools; test AI outputs for accuracy, consistency, traceability, and usefulness; and document solution designs, data sources, assumptions, limitations, test results, and future development opportunities. The role includes participating in meetings, reviews, demonstrations, and feedback sessions, and presenting results, potential business impact, and recommendations to Strategic Sourcing leadership. Work must comply with company requirements for confidentiality, data protection, responsible AI, and approved technology platforms.

This entry-level internship is intended for students actively pursuing an undergraduate or graduate degree in a relevant business, technical, analytical, or supply-chain discipline. No prior professional experience is required. The position is hybrid and requires working an average of two days per week from an HPE office. The stated U.S. hourly salary range is $26.00–$30.00 in Texas; actual offers may vary based on location, experience, education, training, and skills.

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.
• Strong analytical and structured problem-solving skills.
• Ability to break down ambiguous business problems into actionable components.
• Strong written and verbal communication skills, including the ability to explain technical concepts clearly to non-technical stakeholders.
• Intellectual curiosity and willingness to learn new technologies and business processes.
• 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.
• Compliance with company requirements for confidentiality, data protection, responsible AI use, and approved technology platforms.

Nice To Haves

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

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, and market intelligence.
• 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 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.
• Complete assigned tasks 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 business-sensitive information.

Benefits

• A suite of benefits intended to support physical, financial, and emotional wellbeing for employees and their loved ones.
• Career-development programs intended to help employees pursue professional goals.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern