AI Enablement Analyst
The Role
The AI Enablement Analyst supports the adoption of approved AI tools across various departments including Finance, Sales, Supply Chain, Operations, Commercial, and enterprise analytics teams. This role is ideal for recent graduates or early-career professionals who are curious, organized, analytical, and tech-savvy.
Responsibilities
- Ai Adoption & Enablement Support business teams in learning to use approved AI tools such as Microsoft Copilot, Copilot Studio, Power BI, Databricks AI capabilities, and other enterprise-approved platforms.
- Assist with AI office hours, training sessions, demonstrations, and small-group enablement workshops.
- Create simple, practical examples showing employees how AI can reduce manual work, improve analysis speed, and improve documentation quality.
- Build and maintain reusable prompt templates for common business activities.
- Organize AI best practices, job aids, FAQs, and internal guides in Teams/SharePoint.
- Support intake of AI use case ideas from various functions, document current-state workflows, and identify opportunities for AI to reduce manual effort or improve consistency.
- Document use case summaries for review by the Data Analytics & AI leadership team.
- Support documentation of responsible AI practices, ensuring alignment with internal governance, audit, and compliance expectations.
- Track AI training attendance, office hour participation, prompt library usage, use case pipeline activity, and adoption feedback.
- Create dashboards or scorecards to show 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 be turned into self-service guides, prompts, automations, or standard templates.
- Stay current on emerging AI capabilities and summarize relevant updates for the team.
Requirements
Education & Experience: Bachelor's Degree from an accredited four-year college or university in Business Analytics, Data Analytics, Information Systems, Finance, Supply Chain, Computer Science, Industrial Engineering, or related field and 2+ years of relevant work experience; or equivalent combination of education and experience, required.
Other Experience: 2 years of professional AI-related experience preferred; internships, co-ops, analytics projects, or coursework.
AI & Automation Interest: Strong interest in artificial intelligence, analytics, automation, and business process improvement, with basic familiarity using tools such as Microsoft Copilot, ChatGPT, Claude, Gemini, or similar platforms.
Communication Skills: Excellent written and verbal communication skills, with the ability to translate technical concepts into clear, business-friendly language.
Organization & Attention to Detail: Highly organized with strong attention to detail and the ability to manage multiple priorities effectively.
Technical & Microsoft 365 Proficiency: Comfortable working within Microsoft 365 tools, including Excel, PowerPoint, Teams, SharePoint, and Outlook.
Collaboration & Work Environment: Ability to work in an in-office setting and collaborate directly and effectively with cross-functional business teams.
Experience with Power BI, Power Automate, Copilot Studio, Databricks/Snowflake, SQL, Python, or Excel advanced formulas.
Familiarity with finance, supply chain, manufacturing, or food production business processes.
Experience creating training materials, SOPs, documentation, dashboards, or process maps.
Exposure to prompt engineering, workflow automation, or low-code/no-code tools.
Strong curiosity and willingness to learn new AI tools quickly.
Qualifications
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.
Reasonable accommodations may be made to enable individuals to perform the essential functions.
Skills
- Experience with Power BI, Power Automate, Copilot Studio, Databricks/Snowflake, SQL, Python, or Excel advanced formulas.
- Familiarity with finance, supply chain, manufacturing, or food production business processes.
- Experience creating training materials, SOPs, documentation, dashboards, or process maps.
- Exposure to prompt engineering, workflow automation, or low-code/no-code tools.
- Strong curiosity and willingness to learn new AI tools quickly.
Benefits
The expected pay range for this position is $55,000 - $82,500 annually. Smithfield Foods provides a comprehensive benefits package, including health insurance, retirement plans, paid time off, and more. Relocation package available.
Equal Opportunity Employer
Smithfield Foods is an equal opportunity employer committed to workplace diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, gender identity, protected veterans status, status as a disabled individual or any other protected group status or non-job characteristic as directed by law.