With AI and Machine Learning advancing, what new roles do you see emerging in the data and analytics space?

Innovation & Emerging TrendsTeam & Organizational Design
3.2k viewscircle icon6 Comments
Sort by:
Senior Data and Analytics Leader in Government2 years ago

As AI and machine learning continue to advance, new roles are emerging in the data and analytics space to leverage these technologies effectively and drive value for organizations. Some of these emerging roles include:

1. Ethics Officer
2. AI Model Validator
3. Data Privacy specialist
4. AI Solution Architect
5. ML engineer
6. AI Product Manager 
7. AI Governance specialist
8. AI Trainer

Director, Information Technology in Services (non-Government)2 years ago

Some existing roles will increase in importance such as Chief Data Officer, Data Privacy Officer, and Data Scientist, but new roles such as AI Strategist, AI Solution Architect, AI Trainer and others be created and evolve.

Director of Data in Consumer Goods2 years ago

1. AI/ML Engineer
2. AI Ethicist
3. AI Product Manager
4. AI/ML Educator
5. Data Labeling Specialist
6. Data Privacy Officer
7. Prompt Engineer

Lightbulb on1
CTO in Software2 years ago

AI Translator
Data Curator
MLOps Engineer
Explainable AI Specialist
Data Privacy Specialist
AI Ethics Officer

Senior Director of Engineering in Software2 years ago

I don't see a lot of new roles emerging. I see more demand for the already existing AI / ML roles.

Content you might like

What are the fundamental leadership capabilities that are needed for an era of exponential technology and AI innovation?

Read More Comments

What are key ways in which your organization should hire affordable AI and data science talent? Check all that apply.

Recruit talent from diverse or non-traditional backgrounds (e.g. different degrees, institutions, or work experience)33%

Recruit less experienced AI talent with a high aptitude to learn 45%

Communicate the intrinsic benefits of the role (e.g., mission, culture, resources, opportunity for impact) 28%

Build talent pipelines through partnerships with academia and professional societies43%

Hire and upskill internal talent51%

Use specialized AI recruitment agencies11%

Other (please share details in comments)2%

View Results

Most of the application team I lead is in Brazil and the global IT leadership (US-based) now wants to move some of that work to a new global delivery center in India to be more cost effective, but I have doubts. The Brazil team is delivering good quality — is cost efficiency enough reason to relocate the work? What are the biggest pros/cons we need to consider?

Read More Comments

How do you think AI will disrupt business across industries? Add to my list: 1. Content creation 2. Photos and video production 3. Basic coding and debugging 4. Strategic analysis to be highly complimented 

Read More Comments

Where does robotic process automation (RPA) deliver the most value?

Backup and restoration7%

User provisioning34%

User notifications14%

Software installations7%

Monitoring13%

Customer service and support desks14%

Data migration2%

Incident management3%

Patch management2%

View Results