AI Enablement Analyst

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The position summary states the general nature and purpose of the job. Overall accountabilities are defined in this section.

Smithfield is seeking an AI Enablement Analyst to support the adoption of approved AI tools across Finance, Sales, Supply Chain, Operations, Commercial, and enterprise analytics teams. This entry‑level role will help business users apply AI to practical day‑to‑day work, including reporting automation, workflow improvement, prompt development, documentation, training support, and responsible AI usage.

The role is designed for a recent college graduate or early‑career professional who is highly curious, organized, analytical, and comfortable learning emerging technologies. The analyst will work closely with the Data Analytics & AI team to help scale AI adoption in a safe, governed, and business‑value‑focused way.

The below statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. May perform other duties as assigned.

• 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
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• Assist with AI office hours, training sessions, demonstrations, and small‑group enablement workshops.
• Help translate business problems into clear AI use cases, prompts, process maps, and repeatable workflows.
• 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.
• Assist with basic process mapping, requirements gathering, and benefit tracking.
• Prepare use case summaries for review by the Data Analytics & AI leadership team.

• Help 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 Smithfield's expectations for data security, confidentiality, accuracy, and appropriate use.
• Partner with senior team members to ensure AI use cases align with internal governance, audit, and compliance expectations.

• Track AI training attendance, office hour participation, prompt library usage, use case pipeline activity, and adoption feedback.
• Help create dashboards or scorecards that show AI enablement progress, business engagement, and productivity opportunities.
• Gather user…