IT Operations Manager

M1878

Future work distribution

Human onlyCollaborationAI only
50%
34%
16%
50%

Human only

34%

Collaboration

16%

AI only

This chart shows how the job's tasks split between humans and AI. "AI only" means a task AI can handle without a human — not a job removed: the role recomposes and the human refocuses on judgment, relationships and oversight.

AI Position of the Job

AI onlyAugmentation Potential0%40%100%0%40%100%Low ExposureAugmentedIn TransformationHigh AutomationMiraTalento.com
AI only :
Now 16%
3 years 18%
5 years 20%

AI Impact on this job

The IT Production Manager is a critical role in ensuring system availability, performance, and security. While AI can accelerate technical aspects, the core of the job remains human-driven: judgment, coordination, and business alignment.

The role is viewed as an ENHANCED PROFESSION: automation is limited in critical decision-making, while AI assistance significantly boosts productivity.

What will change

  • Optimization of processes and resources to improve IT system efficiency (analysis, capacity planning, scripts, SOP).
  • Supervision and coordination of IT production activities to ensure infrastructure availability, performance, and security.
  • Ensures seamless implementation of updates and changes without disrupting ongoing operations or causing service interruptions.

What AI will improve

  • Optimizes processes and resources to improve IT system efficiency (capacity planning, optimization scripts, SOP).
  • Manages incidents and problems to minimize operational impact through continuous monitoring and maintenance.
  • Supervises and coordinates IT production activities to enhance service availability and quality with AI support.

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For IT Operations Manager, AI can already do 16% of tasks on its own — on average. What about you?

Your strengths against AI

Contextual judgment and decision-making in complex situationsLeadership and management of technical teamsEffective communication with business stakeholders and partners
Recommendations & outlook

Skills to develop

  • Master data-driven management and workflow automation using LLMs and specialized tools (capacity planning, SOP, dashboards).
  • Develop incident management and orchestrated deployment skills through AIOps and pipelines (LLMs + specialized tools).
  • Strengthen leadership and stakeholder management with decision traceability and collaboration via specialized tools and dashboards (including LLMs).

3-year outlook

In three years, the role will retain its human core while leveraging automation for detection, analysis, and orchestration. The position will shift toward greater responsibility in governance, prioritization, and strategic direction, with stronger collaboration between teams and business units.

AI tools used in this profession

Solutions deployed in production by professionals in this field

A general LLM assistant is already within reach

Before any specialized software, a latest-generation LLM assistant (Claude, ChatGPT, Mistral Le Chat, Gemini…) is available for this profession. Versatile, it helps draft, summarize, translate, structure or explore ideas. We treat it as a common baseline shared by almost every profession, distinct from specialized tools.

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Tasks most exposed to AI alone

6
Manage incidents and problems to minimize impact on operations through continuous monitoring and maintenance.25%
Ensure system performance and deploy cybersecurity strategies to protect data.25%

Tasks most augmented by AI

7
Optimize processes and resources to improve the efficiency of IT systems.58%
Manage incidents and problems to minimize impact on operations through continuous monitoring and maintenance.53%

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Frequently Asked Questions

Automation and AI aren’t replacing the role; they’re transforming its responsibilities. As an IT Production Manager, you’ll coordinate systems, ensure continuity, and orchestrate automation solutions. Your influence grows when you combine leadership, technical expertise, and strategic vision.

Headcounts will evolve: some positions may be automated, but new roles will emerge around governance, security, and continuous optimization. Your team will reorganize around key skills such as system orchestration, quality control, and change management.

Identify upskilling levers: AI and automation, security and data management, as well as agile methodologies. Engage in continuous training and seek transformation projects where you can apply these skills. Expand your network and collaborate with Data and Security teams to solidify your role as a production leader.

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