layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

AI Operations Analyst at Industrial Electric Manufacturing | LAYIQ

Key Responsibilities

The first three areas are the core of the role and the primary basis for evaluating performance.
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 overallocated seats.
Governance & Compliance: Confirm that AI tools, user access, and deployed solutions meet IEM’s AI governance and data security standards, and escalate exceptions.

Qualifications Required

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 technical concepts plainly to non-technical colleagues.
Preferred Skills & Experience
Track record as the go-to AI or automation resource on a team.
Requirements gathering, process mapping, or change management support.
Python, TypeScript, low-code automation, AI agents, APIs, or system integrations.
Reporting or operational data analysis with Excel, SQL, or similar tools.
Experience in manufacturing or other environments where employees are not desk-based.
Coursework or certifications in AI or project management; applied work weighs more.
General Competencies
Bias Toward Action: Builds the small version and shows it instead of scheduling a meeting.
Business Impact Orientation: Prioritizes measurable gains in productivity, quality, or cost.
User-Centered Communication: Listens well, asks good questions, treats people with respect.
Problem-Solving & Adaptability: Troubleshoots methodically, escalates early, learns fast.
Operational Discipline: Documents accurately, tracks details, finishes what is started.
Job Location
Position is located in Austin, TX, and is primarily in-person.
Some travel is required to IEM facilities or for project kickoffs.
Interviews are conducted in person in Austin.

AI Operations Analyst

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Key Responsibilities

Qualifications Required

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