ML/AIWork
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AI Accelerator Program Manager

Oracle · Nashville, US

Job description

The AI Accelerator Program Manager helps Business Operations teams adopt AI by turning manual, file-based, or prototype workflows into trusted, repeatable AI-assisted processes. This role combines business analysis, financial/operational judgment, AI tooling fluency, stakeholder support, and practical documentation.

Responsibilities

  • Partner with stakeholders to understand file-based workflows, pain points, business logic, and desired outcomes
  • Translate ambiguous business processes into structured AI-assisted workflows
  • Use approved AI tools, prompts, skills, scripts, templates, and lightweight automation to support workflow delivery
  • Validate outputs against source files, known-good examples, business rules, and reasonableness checks
  • Document repeatable workflows, human review points, assumptions, limitations, and handoff instructions
  • Support stakeholder adoption through guidance, troubleshooting, office hours, reusable examples, and playbooks
  • Identify recurring barriers, tool gaps, and opportunities for reusable Biz Ops AI patterns
  • Escalate platform, governance, connector, or security issues to the appropriate AI-first, IT, or enterprise support teams

Must-Have Qualifications

  • 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

Preferred Qualifications

  • 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

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