Operations Roles + AI: The New Standard for Hiring COO-Level Talent

Operations leaders have always been responsible for making the business run better.

In 2026, that job includes AI.

A strong COO or senior operations hire does not need to be a data scientist. But they do need to understand how AI can improve workflows, reduce manual work, strengthen reporting, and help teams make better decisions.

That is the new standard: not “AI expert,” but AI-fluent operator.

Why AI now belongs in operations

Operations teams sit closest to the systems that keep a company moving.

They manage processes, handoffs, reporting, tools, customer workflows, internal communication, and cross-functional execution. That makes them one of the best places to find practical AI use cases.

PwC’s Pulse Survey found that 54% of COOs say increasing the use of AI and generative AI is a high priority, while 46% are hiring employees with the skills needed to close capability gaps. PwC, COO Pulse Survey

That is a clear signal. AI is no longer only a technology discussion. It is an operating model discussion.

What AI-fluent operations leaders actually do

AI-fluent operators are not just using ChatGPT to write emails.

They look at how work flows through the business and ask:

• Where are people repeating the same task?

• Where does information get lost?

• Where are approvals too slow?

• Where are teams making decisions without good data?

• Where do customers wait too long?

• Where do managers lack visibility?

• Where can automation help without creating risk?

Then they turn those questions into practical improvements.

For example, an AI-fluent operations leader might:

• Summarize customer feedback into themes

• Build a dashboard that flags stalled work

• Automate parts of a recruiting or onboarding process

• Improve documentation with AI-assisted drafts

• Use AI to clean and categorize data

• Create a weekly executive summary from multiple sources

• Build quality checks into a support workflow

• Use AI to compare vendor proposals

• Reduce manual reporting work

The value is not the tool. The value is better operating discipline.

The COO role is becoming more cross-functional

AI touches every function.

Sales may use it for prospect research. Marketing may use it for content and reporting. Finance may use it for forecasting support. HR may use it for screening workflows and employee support. Customer teams may use it for summaries, routing, and knowledge-base improvements.

A COO-level hire needs to connect these efforts without letting the company become chaotic.

That means creating standards around:

• Tool selection

• Data privacy

• Approvals

• Documentation

• Workflow ownership

• Measurement

• Training

• Change management

Without that structure, teams may adopt tools quickly but fail to create real business value.

What to look for when hiring

When hiring an operations leader today, screen for four traits.

1. Process thinking

Can the candidate map how work actually gets done?

Ask: “Tell me about a process you improved. What changed, and how did you measure the result?”

You want someone who can see the whole system, not just one task.

2. AI judgment

Can the candidate use AI without blindly trusting it?

Ask: “Where would you use AI in an operations workflow, and where would you keep human review?”

Strong candidates will talk about accuracy, sensitive data, approvals, and quality control.

3. Data comfort

The candidate does not need to be a full analyst, but they should be comfortable with metrics.

Ask: “Which operating metrics would you track weekly for this role?”

Look for practical answers tied to speed, quality, cost, customer experience, or team capacity.

4. Change leadership

AI projects fail when people do not adopt them.

Ask: “How would you roll out a new workflow to a team that is already busy?”

A strong operator knows that communication, training, and feedback loops matter.

Avoid the “tool collector”

Some candidates know many tools but cannot explain results.

That is a red flag.

A good operations leader should be able to explain:

• The business problem

• The workflow before and after

• The tools used

• The risks managed

• The result measured

• The people affected

Tool familiarity is useful. Operating judgment is essential.

Nearshore operations talent can be a strong fit

For US companies, nearshore operations talent can be especially valuable.

Operations work often requires real-time collaboration, fast follow-up, and regular communication across departments. LATAM time-zone alignment can make that easier than fully offshore models.

Strong nearshore operations candidates may bring experience with:

• CRMs

• Project management tools

• Support platforms

• Recruiting systems

• Reporting dashboards

• AI assistants

• Workflow automation tools

• Documentation systems

But the key is integration. A nearshore operations leader should be treated as part of the core operating team, not as a back-office add-on.

A simple scorecard for COO-level hiring

Use this scorecard in interviews:

• Can they explain complex work simply?

• Can they identify bottlenecks?

• Can they use AI responsibly?

• Can they measure improvement?

• Can they lead people through change?

• Can they communicate clearly with executives and frontline teams?

• Can they build repeatable systems?

• Can they say no to low-value automation?

The last point matters. Not every workflow should be automated. Strong operators know when a human step protects quality.

AI raises the standard, but the basics still matter

AI does not replace the fundamentals of operations.

A great operations leader still needs:

• Clear communication

• Accountability

• Follow-through

• Good documentation

• Decision-making discipline

• Cross-functional trust

• Customer awareness

• Financial awareness

AI simply gives strong operators more leverage.

It helps them see patterns faster, reduce repetitive work, and create better visibility across the business. But it cannot replace leadership, judgment, or ownership.

The practical takeaway

If you are hiring COO-level or senior operations talent, do not search for someone who only “knows AI.”

Search for someone who can use AI to make the business run better.

That means better workflows, better reporting, faster decisions, stronger documentation, and clearer accountability.

The best operations leaders in 2026 will not be defined by the tools they use. They will be defined by the systems they improve.