AI & HR: Emerging roles

As AI continues to transform HR, several emerging roles and responsibilities are coming to the forefront. Now’s the time to upskill your current talent teams into these types of roles or expand your own skills for the future.

Here are a few of the AI-related roles that will be essential in leveraging the technology to enhance HR processes and make data-driven decisions.

AI Ethics and Bias Analyst

Responsibilities: Ensuring that AI systems used in HR are fair and unbiased. This involves monitoring, identifying, and mitigating biases in algorithms and data.

Skills: Knowledge of AI ethics, bias mitigation techniques, and a deep understanding of HR practices.

HR Data Scientist

Responsibilities: Analyzing HR data to derive insights and predictions. Data scientists use AI and machine learning to make data-driven decisions in recruitment, employee retention, and performance management.

Skills: Data analysis, machine learning, programming, and domain knowledge in HR.

HR Automation Specialist

Responsibilities: Focusing on the automation of HR processes like onboarding, benefits administration, and employee inquiries. These specialists design and implement chatbots, workflow automation, and other AI-driven solutions.

Skills: Knowledge of HR processes, automation tools, and basic AI concepts.

AI-Powered HR Analyst

Responsibilities: Leveraging AI for HR analytics, including workforce planning, employee engagement, and performance evaluations. These analysts generate reports and insights for strategic decision-making.

Skills: Data analysis, data visualization, and proficiency with AI analytics tools.

As AI continues to evolve and become more integrated into HR processes, these emerging roles are likely to become increasingly important in helping organizations harness the full potential of AI for HR operations and strategic decision-making.