AI Operations Analyst

Elios, Inc.; Northern (KY); Hybrid; USD 60,000 - 90,000; Full time

Job summary

Elios, Inc. in the United States is seeking an AI Operations Analyst for a fully remote, junior/early-career IC role with a base pay of $60,000–$90,000.

This position sits in Business Operations at a remote insurance and risk-advisory firm, focusing on adoption and feedback to ensure AI workflows are trusted and used consistently. You will train teams, map actual workflows, monitor usage, and bridge the gap between frontline users and leadership, always aiming to align tools with real work and

Qualifications

• Ownership mindset with ability to build trust with non-technical colleagues.
• Strong communication skills and ability to train others.
• Basic data literacy and comfort with AI tools.

Responsibilities

• Be the embedded adoption champion of AI systems, answering 'can it do this?' and 'why did it do that?' in person.
• Drive adoption through short trainings, side-by-side walkthroughs, and quick reference notes.
• Track who is using what and where users encounter difficulties.
• Keep deployed tools aligned with real_workflows, mapping and flagging drift early.
• Translate between floor staff and leadership in plain language.
• Operate and lightly extend deployed tools and oversee usage.
• Aggregate analytics from AI apps and escalate when beyond scope.

Job description

AI adoption Change management Process mapping Prompt engineering Workflow automation Business operations ChatGPT Data literacy Stakeholder enablement Excel

Job Description

AI Operations Analyst

Location: Fully remote (US) | Type: Junior / early-career individual contributor | Pay: $60,000-$90,000 base

About the Role

This is the embedded adoption-and-feedback seat that grows into an AI Program Manager. The role sits in Business Operations at a fully remote insurance and risk-advisory consulting firm.

The company is putting AI tools and workflows into production. Building them is the easy half. Getting people to trust them and use them consistently is harder, and that's where this role comes in.

You'll be the in-house owner of adoption and feedback, the person who makes the technology stick. You'll work closely with teams day to day, train people one on one, spot when real workflows drift from what a system assumes, and keep the gap between the floor and leadership small.

This is an early-career, individual-contributor role. You'll be hired for how quickly you learn, how much you own, and how well you work with people who are nervous about AI, not for a long resume. The technical pieces are teachable, and you'll have real support there.

What You'll Own

Be the embedded champion day to day, walking the floor, sitting with teams using AI systems, answering the "can it do this?" and "why did it do that?" questions in person, and building trust one conversation at a time

Drive adoption use by use through short training sessions, side-by-side walkthroughs, and quick reference notes written in the team's own language

Track who is using what, and where people get stuck

Keep systems aligned to how work really happens, map the actual workflow, notice where it has drifted from what the AI assumes, and flag issues before output goes wrong

Translate between the floor and leadership, in both directions, using plain language

Operate and lightly extend the deployed tools

Pull the numbers behind analytics and AI applications, then upscale cleanly to the internal lead when something is beyond your scope

What to Look For

An ownership instinct

The ability to build trust with non-technical people

Comfort being the visible advocate for a new way of working

A maniacal problem-solver pattern, someone who keeps after the best way to solve a business problem and reaches for whatever tool fits, without getting stuck on being "the tool X expert"

AI Engagement

AI engagement is expected, not a bonus

The candidate should be able to show they've already leaned into tools like ChatGPT or Claude on their own initiative

Technical Signals, Secondary but Teachable

Basic data literacy

Process mapping and workflow observation

General comfort exploring software tools

Nice to Haves

Consulting, professional-services, or customer-facing experience

Time in an operations, customer success, support, or coordinator role

A track record of being first to adopt a new analytical tool and pulling others along

Experience training or onboarding coworkers

Growth Path

This role can grow from AI Operations Analyst to AI Program Manager, with ownership expanding to a portfolio of systems, teams, and lightweight governance.

The growth path leans heavily toward consulting, change management, consensus-building, and cross-functional coordination.

Reporting Structure

This role reports into Business Operations.