AI Operations Analyst
Listed on 2026-09-13
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IT/Tech
AI Business & Operations, AI Engineer (Applied/Software)
At IEM, we’re not just building innovative electrical distribution systems, we’re shaping the future. IEM is dedicated to delivering world-class solutions for complex power needs. After 75 years, we continue to push the boundaries of what’s possible. Whether you’re an experienced professional or just starting out, you’ll have the opportunity to contribute, grow, and make a lasting impact on industries that power the world’s most dynamic markets.
Location: Austin, TX - USA
Reports To: VP, Enterprise AI & Automation
Salary Range: $106,
Position SummaryIEM is seeking a driven AI Operations Analyst to turn practical AI opportunities into working solutions. You will be the entry point for new AI ideas, guide the promising ones through prototyping, and help employees adopt what gets built. You will also own the enablement work behind those tools: access, licenses, onboarding and offboarding. Success means learning that work, then simplifying or automating it.
We want someone who sees how a business process actually works and instinctively looks for a better way to run it, whether that is an AI model, an agent, a workflow automation, an API integration, or a small custom application. You do not need to be a senior software engineer, but you should learn fast and enjoy building. This is a visible, hands-on role for someone already experimenting with these tools who wants to shape how a growing enterprise adopts AI.
- Process Discovery:
Partner with teams across IEM to find manual, repetitive, or error-prone work, and determine whether AI, automation, integration, or process redesign is the right fix. - Solution Development:
Design, build, test, and deploy practical solutions using AI tools, workflow automation, agents, and APIs, then maintain and improve them after launch. - Measurement & Continuous Improvement:
Define success measures such as time saved, errors reduced, and adoption, then improve, expand, or retire solutions based on what they demonstrably deliver. - AI Project Intake & Prioritization:
Serve as the entry point for new AI requests, separating genuine business needs from interest in a particular tool, and prioritize what moves forward. - AI Literacy, Training & Enablement:
Deliver onboarding, workshops, and training that build real proficiency with approved AI tools, and help employees build their own automations. - AI Platform Operations:
Run day-to-day administration of IEM’s AI platforms, and keep procedures, FAQs, and adoption reporting current. - Access & License Management:
Manage access requests and approvals, provision and reclaim licenses, and flag underused or over allocated seats. - Governance & Compliance:
Confirm that AI tools, user access, and deployed solutions meet IEM’s AI governance and data security standards, and elevate exceptions.
- AI Mindset:
You always invite AI to the table as a thinking partner—experimenting broadly while keeping human judgment in the lead. - Proven AI Implementation:
You’ve put an AI solution into real use inside an organization—one others relied on—while navigating stakeholder needs, budget limits, and security requirements. - Practical Technical Judgment:
You know when AI is not the right tool, and can weigh accuracy, cost, privacy, security, and how much human oversight a solution needs. - AI & Automation Tool Fluency:
You have hands‑on knowledge of generative AI tools, automation platforms, APIs, and business‑system integrations—and can quickly learn new ones. - Relevant
Experience:
You’ve worked in operations, process improvement, automation, or IT. What you’ve built matters more than years served. - Organization & Follow‑Through:
You prioritize competing work, document it, and finish it. - Communication & Enablement:
You explain…
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