Strategic Sourcing AI & Automation Intern

About the Role

Hewlett Packard Enterprise (HPE) is the global edge-to-cloud company. This role is designed as 'Hybrid', requiring an average of 2 days per week in an HPE office.

Job Description 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.
• 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.
• Builds professional skills through collaboration, analysis, experimentation, and delivery of defined project outcomes.

Key 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.

Requirements & Tech Stack

• 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.

Qualifications

• 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.