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)3 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 Goods3 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 Software3 years ago

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

Senior Director of Engineering in Software3 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

Why do you think there are so few mature AI-driven autonomous pentesting solutions on the market, and why does this topic seem to generate more hype than in-depth technical discussion?

Read More Comments

Do you think that "process debt" (workflow inefficiency) is more potentially harmful than technical debt when implementing AI? How do you identify and quantify process debt in your organization, and how do you begin to address it?

What is your primary concern when using AI/LLM-based financial analytics tools?

Data leakage36%

Regulatory compliance64%

Accuracy of analysis91%

Integration with existing systems27%

Cost of deployment9%

View Results

How is your Q4 planning impacting your IT org’s talent structure?

Based on the approach to GenAI at your org, what stage are you at on the GenAI hype cycle?

Early interest and excitement about possibilities23%

Expectations are exceeding current capabilities44%

Disillusionment after failures to implement effectively12%

Starting to understand where the true value is14%

Successfully implementing and seeing consistent benefits7%

View Results