AI Project Manager resume skills and keywords
In 30 AI Project Manager job postings from 22 employers analysed on October 23, 2026, the most requested skills are Communication (77 %), Project Management (73 %), Leadership (63 %), Agile (47 %) and LLMs (40 %). Of the top 40 skills, 31 are hard skills, tools or certifications and 9 are soft skills.
Download the full list as a CSV or check your own resume against a posting with the free keyword scanner.
Top 40 skills in AI Project Manager job postings
| Skill | Share of postings | Type |
|---|---|---|
| Communication | 77 % | Soft skill |
| Project Management | 73 % | Hard skill |
| Leadership | 63 % | Soft skill |
| Agile | 47 % | Hard skill |
| LLMs | 40 % | Tool |
| AI Tools | 37 % | Tool |
| Azure | 37 % | Tool |
| Generative AI | 33 % | Tool |
| Problem Solving | 33 % | Soft skill |
| Change management | 30 % | Hard skill |
| Stakeholder management | 30 % | Soft skill |
| PMP | 27 % | Certification |
| Attention to detail | 27 % | Soft skill |
| Data Science | 27 % | Hard skill |
| Artificial Intelligence | 23 % | Hard skill |
| Agile/Scrum | 23 % | Hard skill |
| Jira | 23 % | Tool |
| Collaboration | 23 % | Soft skill |
| Machine learning | 20 % | Hard skill |
| Python | 20 % | Tool |
| SQL | 20 % | Tool |
| Machine Learning Operations | 20 % | Hard skill |
| Organizational skills | 20 % | Soft skill |
| AI and Machine Learning | 20 % | Hard skill |
| GCP | 20 % | Tool |
| Resource Allocation | 20 % | Hard skill |
| Accountability | 20 % | Soft skill |
| Digital Transformation | 20 % | Hard skill |
| Waterfall | 20 % | Hard skill |
| Scrum Master | 20 % | Certification |
| Data Privacy | 17 % | Hard skill |
| Data visualization | 17 % | Hard skill |
| AWS | 17 % | Tool |
| Cloud Platforms | 17 % | Tool |
| Data pipelines | 17 % | Hard skill |
| Smartsheet | 17 % | Tool |
| AI Governance | 17 % | Hard skill |
| Databricks | 13 % | Tool |
| Decision making | 13 % | Soft skill |
| Microsoft Office | 13 % | Tool |
Hard skills vs soft skills vs tools and certifications
Hard skills (16)
- Project Management 73 %
- Agile 47 %
- Change management 30 %
- Data Science 27 %
- Artificial Intelligence 23 %
- Agile/Scrum 23 %
- Machine learning 20 %
- Machine Learning Operations 20 %
- AI and Machine Learning 20 %
- Resource Allocation 20 %
- Digital Transformation 20 %
- Waterfall 20 %
- Data Privacy 17 %
- Data visualization 17 %
- Data pipelines 17 %
- AI Governance 17 %
Soft skills (9)
- Communication 77 %
- Leadership 63 %
- Problem Solving 33 %
- Stakeholder management 30 %
- Attention to detail 27 %
- Collaboration 23 %
- Organizational skills 20 %
- Accountability 20 %
- Decision making 13 %
Tools and software (13)
- LLMs 40 %
- AI Tools 37 %
- Azure 37 %
- Generative AI 33 %
- Jira 23 %
- Python 20 %
- SQL 20 %
- GCP 20 %
- AWS 17 %
- Cloud Platforms 17 %
- Smartsheet 17 %
- Databricks 13 %
- Microsoft Office 13 %
Certifications and licenses (2)
- PMP 27 %
- Scrum Master 20 %
Keyword phrases recruiters use
Multi-word phrases that recur across these ai project manager postings, with the share of postings that use each one.
How to use this on your resume
Treat the table as a checklist, not a script. Put the skills you genuinely have in your skills section, using the same wording as the posting, and back the top ones with a bullet that shows the result.
Each job posting differs from the average, so compare your resume with the actual ad: paste it into the resume keyword scanner to see which terms you already have and which are missing. The ATS keywords guide explains where to place them so applicant tracking systems read them.
Skip any skill you cannot talk about in an interview; a keyword that falls apart under one question costs more than it gains. For a full layout with these skills in context, see the AI Project Manager resume example. Then prepare for the AI Project Manager interview questions that test them.
Build a ai project manager resume with these skills
Start in the editor, tailor your bullets to the job you want and download an ATS-friendly resume.