AI Accelerator Program Manager

Oracle Oracle · Enterprise · Nashville, TN +1

This role focuses on translating business processes into AI-assisted workflows using approved AI tools. The Program Manager will partner with stakeholders, document workflows, validate outputs, and identify opportunities for reusable AI patterns. The role requires experience in business operations or a related analytical field, strong structured thinking, and hands-on fluency with AI tools.

What you'd actually do

  1. Partner with stakeholders to understand file-based workflows, pain points, business logic, and desired outcomes
  2. Translate ambiguous business processes into structured AI-assisted workflows
  3. Use approved AI tools, prompts, skills, scripts, templates, and lightweight automation to support workflow delivery
  4. Validate outputs against source files, known-good examples, business rules, and reasonableness checks
  5. Document repeatable workflows, human review points, assumptions, limitations, and handoff instructions

Skills

Required

  • 1-3+ years of experience in business operations, finance, data analysis, consulting, technical support, or a related analytical role
  • Strong structured thinking and ability to break messy workflows into clear steps
  • Strong Excel and file-based analysis skills
  • Business or financial reasonableness judgment
  • Hands-on fluency using AI tools to structure work, analyze files, generate reusable instructions, and validate outputs
  • Clear written communication and documentation habits
  • Comfort working with scripts, prompts, structured files, templates, and repeatable workflow assets

Nice to have

  • Experience with OpenAI/Codex-style tools
  • Familiarity with reusable AI skills, agents, prompts, playbooks, or workflow templates
  • Exposure to Python, SQL, JSON/YAML, markdown, or lightweight automation
  • Experience with cloud infrastructure, usage, billing, capacity, finance, audit, or operational workflows
  • Experience supporting internal users through training, enablement, or workflow adoption

What the JD emphasized

  • Hands-on fluency using AI tools to structure work, analyze files, generate reusable instructions, and validate outputs