Next start date: August 1st
Next start date: August 1st
Next start date: August 1st
Next start date: August 1st
Next start date: August 1st
Next start date: August 1st
Next start date: August 1st
Next start date: August 1st
Next start date: August 1st
Next start date: August 1st
HERO_AAS in AI for Business AASAIB

AI Operations Manager:
run smarter,
automate better.

AI Operations Managers apply automation and machine learning to make business operations faster, more reliable, and data-driven. No coding required — just the judgment to know which processes AI should touch and how to measure the results.

Money icon white
$91K
Median annual salary (BLS, 2024)
growth icon white
+21%
Job growth 2024–2034 (Much faster than avg)
Graduates white icon (1)
3–6 yrs
Typical experienceto senior ops role
admissions-apply-new-workplace ready-ICON
Growing
Demand acrosslogistics, finance, health

What does an AI Operations Manager actually do?

An AI Operations Manager ensures that AI tools, automation pipelines, and machine learning outputs are integrated effectively into day-to-day business operations. They identify processes that are good candidates for automation, implement AI solutions, and continuously monitor performance to catch errors before they cascade. In a typical week, they might review the accuracy of an ML-based demand forecasting model, run a retrospective on an automated workflow, and brief leadership on operational KPIs. The role sits at the crossroads of process improvement and AI deployment — and it requires more operational expertise than technical depth.
01
Identify Automation Opportunities
Map current workflows to find high-volume, rule-based processes where AI and automation can reduce manual effort and error rates.
02
Manage ML Output Quality
Monitor AI model outputs for accuracy and drift. Escalate issues to data teams and define acceptable performance thresholds for business use cases.
03
Optimize Operational Processes
Apply Lean and Six Sigma thinking alongside AI tools to reduce bottlenecks, cut cycle times, and improve throughput across operational functions.
04
Report on AI-Driven KPIs
Build dashboards and reporting frameworks that translate AI performance data into operational metrics leadership can act on.

The skills that define this role

AI Operations Managers combine process improvement expertise with the ability to evaluate and manage AI tooling — no engineering background required.
Communication & Professional skills_Icon
Process Automation
  • AI Tool Evaluation
  • Change Management
Global Business_Icon
ML Output Monitoring
  • Workflow Mapping
  • Risk Assessment
Finance & Accounting_Icon
Lean / Six Sigma
  • RPA Platforms
  • Vendor Management
Technology & Digital Transformation_Icon
Operational KPIs
  • Data Dashboard Literacy
  • Cross-functional Collaboration

The business degree built for AI roles

Nexford's BSAIB combines operational strategy with AI application — equipping working professionals with the skills to step into AI operations leadership.
Technology & Digital Transformation_Icon
BS in Applied & Integrated Business (BSAIB)
Undergraduate · Online · Flexible
Covers operational management, data-driven decision making, and AI application in business contexts. Graduates move into AI operations, analytics, and process improvement roles globally. No CS prerequisites required.

From analyst to operations leadership

AI Operations roles grow quickly as organizations scale their automation and AI deployments.
Step 01 · Entry
Operations Analyst
0–2 years
$50K–$84K
Step 02 · Mid
AI Operations Manager
3–6 years
$100K–$145K
Step 03 · Senior
VP of AI Operations
7+ years
$115K–$185K+
Salary ranges reflect US national salary data (ZipRecruiter, Glassdoor, 2026). Individual outcomes vary by location, experience, and employer.

Questions we actually hear.
Answered directly.

What does an AI operations manager do?

An AI operations manager keeps AI systems running well once they're live — monitoring performance, catching model drift, managing updates, and driving adoption across teams. Some versions of the role lean technical (pipelines and monitoring); others focus on optimizing and scaling AI-driven processes across the business.

How is an AI operations manager different from a traditional operations manager?

A traditional operations manager runs stable, predictable processes; an AI operations manager runs systems that change over time and need retraining, monitoring, and governance. The job adds a layer: making sure the AI keeps performing as the real world shifts around it.

 

Do you need to code to be an AI operations manager?

It depends on the flavor of the role. The business-focused version rewards process and adoption skills over coding; the technical version expects familiarity with tools like MLflow, cloud platforms (AWS, Azure), and monitoring systems. Either way, you need to understand how AI systems behave in production.

What skills and tools does an AI operations manager need?

Process optimization, cross-functional coordination, and AI governance sense — plus, for technical roles, data pipelines, model monitoring, and platforms like AWS SageMaker or Azure ML. The common thread is turning a working model into reliable, everyday operations.

How much does an AI operations manager earn?

In the US, AI operations manager roles typically pay around $90,000–$120,000, part of a path from roughly $55,000 as an operations analyst to $140,000 and beyond at VP level. Technical, production-heavy roles tend to pay toward the top.

Which Nexford program helps you become an AI operations manager?

The B.S. in AI for Business builds the operational and applied-AI foundation, while the MS in AI and Technology Management covers governing and scaling AI across an organization. Every course requires you to use and evaluate AI, so you practice running these tools rather than just learning about them.

Ready to become an
AI Operations Manager?

Build the operational expertise and AI fluency companies are hiring for right now. No CS background needed.
Undergraduate
Explore the BSAIB curriculum and operations track
Resources
Download the AI Careers brochure
Admissions
Talk to an advisor about your AI career path