IT Project Owner Coordinator (MOA)

M1875

Future work distribution

Human onlyCollaborationAI only
48%
38%
14%
48%

Human only

38%

Collaboration

14%

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 14%
3 years 17%
5 years 19%

AI Impact on this job

The role of IT Business Coordinator relies on human expertise to understand your needs and drive solutions, even as AI takes over repetitive tasks. With AI tools, you’ll gain speed, but your judgment and ability to manage stakeholders remain indispensable.

Moderate risk: AI boosts productivity, but the core of the role remains human.

What will change

  • Partial automation of efficiency assessments and corrective actions through AI-generated queries and dashboards.
  • Standardized quality control and verifications for deliverables and tests.
  • Implementation tracking and risk summaries assisted by AI.

What AI will improve

  • Rapid generation of scenarios and recommendations.
  • Continuously updated reports and dashboards.
  • Project planning and coordination enhanced by AI.

This result describes the occupation — not your role yet

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For IT Project Owner Coordinator (MOA), AI can already do 14% of tasks on its own — on average. What about you?

Your strengths against AI

Critical thinking and problem-solvingStakeholder management and change leadershipDecision-making in uncertain environments
Recommendations & outlook

Skills to develop

  • Develop the ability to co-build with AI: craft relevant queries, interpret results, and validate actions; tools: LLM + IT Business Coordinator tools.
  • Master project tracking and orchestration tools, and collaborate with technical teams; integrate AI dashboards into daily processes; tools: LLM + specialized platforms.
  • Support change and train users; create training content and quizzes with AI; tools: LLM + specialized tools.

3-year outlook

Over the next three years, AI will enhance your analytical and management capabilities. The role will remain people-centric and user-focused, with a growing emphasis on strategic consulting and continuous process optimization. Profiles combining business expertise and AI tools will be in high demand.

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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Turn AI into an HR advantage

Support your people, secure key skills and steer the transition with concrete data.

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Tasks most exposed to AI alone

7
Evaluate information system effectiveness and propose corrective actions to optimize processes.25%
Check the quality of work and ensure deliverables comply with initial specifications.25%

Tasks most augmented by AI

7
Evaluate information system effectiveness and propose corrective actions to optimize processes.64%
Check the quality of work and ensure deliverables comply with initial specifications.54%

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Frequently Asked Questions

No, this role won’t disappear in the short term, but it will evolve. AI can automate repetitive tasks and accelerate data analysis, but it still requires human oversight to understand business needs and prioritize initiatives. You will remain a key driver of transformation, translating business objectives into IT solutions and ensuring traceability of requirements.

The number of people required will depend on the scope and level of automation, but your role will remain essential. You will work closely with business teams and technical experts to ensure alignment and traceability of requirements. Teams may focus more on governance, functional architecture, and change management, which could reduce the number of operational resources while increasing impact.

To adapt, develop dual expertise in business and technology: master process management, requirements engineering, and analysis tools. Strengthen your ability to lead projects in agile mode, collaborate with data scientists and business stakeholders to turn needs into concrete solutions. Finally, invest in change management and communication to support users in adopting new solutions and ensure long-term business value.

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