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 designed for recent graduates or early-career professionals who are highly curious, organized, analytical, and comfortable with emerging technologies.

Responsibilities

• Ai Adoption & Enablement Support business teams as they learn 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 that show employees how AI can reduce manual work, improve analysis speed, and improve documentation quality.
• Build and maintain reusable prompt templates for common business activities such as variance explanations, meeting summaries, SOP creation, Power BI documentation, SQL support, Excel analysis, and reporting commentary.
• Organize AI best practices, job aids, FAQs, and internal guides in Teams/SharePoint.
• Help maintain a searchable AI knowledge base with approved examples, use cases, lessons learned, and reusable assets.
• Support intake of AI use case ideas from Finance, Sales, Supply Chain, Operations, IT, Marketing, Legal, and other functions.
• Document current-state workflows and identify opportunities where AI may reduce manual effort or improve consistency.
• Aid in basic process mapping, requirements gathering, and benefit tracking.
• Prepare use case summaries for review by the Data Analytics & AI leadership team.
• Support governance, risk, and responsible AI practices, including data handling, human review, validation steps, and escalation paths.
• Track AI training attendance, office hour participation, prompt library usage, use case pipeline activity, and adoption feedback.
• Create dashboards or scorecards that 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.

Qualifications

• 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.
• 2 years of professional AI-related experience preferred; internships, co-ops, analytics projects, or coursework.
• 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.
• Excellent written and verbal communication skills, with the ability to translate technical concepts into clear, business-friendly language.
• Highly organized with strong attention to detail and the ability to manage multiple priorities effectively.
• Comfortable working within Microsoft 365 tools, including Excel, PowerPoint, Teams, SharePoint, and Outlook.
• 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.

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.

Pay

The expected pay range for this position is $55,000 - $82,500 annually. Smithfield Foods provides pay ranges that reflect its good faith estimate of the salary or hourly wage the company reasonably expects to pay for a position at the time of hire. Individual compensation will be determined based on several factors, including but not limited to, the scope and responsibilities of the role, location of the position, the candidate’s qualifications and experience, internal equity, external market pay for comparable positions and budget considerations.