Career Foundation Program (CFP) - Data Analytics - May/Spring 2027 Graduates

Smithfield Foods•Smithfield, VA

About The Position

Smithfield is seeking an entry-level Career Foundation Program Associate for its Data Analytics Track. The associate will support adoption of approved Data Analytics and AI tools across Finance, Sales, Supply Chain, Operations, Commercial, and enterprise analytics teams. The role helps business users apply AI to practical daily work, including reporting automation, workflow improvement, prompt development, documentation, training, and responsible AI usage. This role is part of Smithfield’s Career Foundation Program, which gives recent college graduates the opportunity to explore career options through function-specific rotations. The program lasts 18 to 24 months, depending on the rotational track. Associates contribute to the goals of each assigned department, assist with problem-solving, take leadership roles on certain projects, support short- and long-term objectives, and deliver high-level results. Company senior leaders, an assigned manager, mentor, and program manager provide guidance and support throughout the rotations. Associates may relocate one to two times during the program and travel up to 15–25% of the time, including periodic overnight travel. The work is primarily office-based, though it may also involve facilities and laboratory environments and visits to production plants. The role may involve exposure to wet or humid conditions, extreme heat or cold, moving mechanical parts, fumes or airborne particles, chemicals, and varying noise levels. The position may require occasional lifting or moving of up to 25 pounds, as well as sitting, handling or feeling objects, and talking or hearing. The expected pay range is $21.63–$31.25 per hour. A relocation package is available. Smithfield describes its culture as grounded in gratitude, communication, respect, and accountability, with a commitment to learning, collaboration, and innovation.

Requirements

Bachelor’s degree from a regionally accredited four-year college or university, or current enrollment in college with anticipated graduation by the end of the current semester.
Ability to relocate one to two times during rotations.
High level of professionalism and discretion, and ability to self-manage time from remote locations.
Excellent written and oral communication skills.
Proficiency in Word, PowerPoint, and Excel.
Ability to travel up to 15–25% of the time, including periodic overnight travel.
Currently authorized to work in the United States.
Valid state driver’s license with an acceptable driving record, depending on rotational track.
Ability to work well with others in a fast-paced, dynamic environment.
Ability to be respectful, approachable, and team-oriented while building strong working relationships and a positive work environment.

Responsibilities

Assist business teams in learning and using approved AI tools, including Microsoft Copilot, Copilot Studio, Power BI, and other enterprise platforms.
Support AI office hours, training sessions, demonstrations, and enablement workshops.
Translate business needs into practical AI use cases, prompts, and workflows.
Create examples showing how AI can reduce manual work, improve analysis speed, and improve documentation quality.
Build and maintain reusable prompt templates for common business needs.
Organize AI best practices, job aids, and FAQs within Teams or SharePoint, and contribute to a centralized AI knowledge base.
Assist with intake of AI use case ideas across Finance, Sales, Supply Chain, and Operations.
Document current workflows and identify opportunities for AI-driven improvements.
Support basic process mapping, requirements gathering, and documentation, and prepare summaries for review by senior team members.
Maintain an AI use case registry, prompt library inventory, and lightweight lifecycle documentation.
Support documentation of responsible AI practices, including data handling, human review, validation steps, and escalation paths.
Ensure AI enablement materials reinforce expectations for data security, confidentiality, accuracy, and appropriate use.
Partner with senior team members to align AI use cases with internal governance, audit, and compliance expectations.
Track training attendance, office hour participation, prompt library usage, use case pipeline activity, and adoption feedback.
Help create dashboards or scorecards showing AI enablement progress, business engagement, and productivity opportunities.
Gather user feedback and summarize recurring questions, friction points, and training needs.
Assist analysts and business users in applying AI to routine work such as report documentation, meeting recaps, data quality checks, dashboard explanations, and recurring analysis.
Identify repetitive support tasks that could become self-service guides, prompts, automations, or standard templates.
Stay current on emerging AI capabilities and summarize relevant updates for the team.
Contribute to assigned departments’ goals, assist with problem-solving, take leadership roles on certain projects, and help achieve department objectives.