Talent Professional

IBM Talent is transforming how we develop skills, leaders, and careers in an AI-enabled world. We create scalable, data-driven, and human-centered solutions that help employees grow and enable IBM to build the capabilities needed for the future. As a Talent Professional, you will help design, build, and improve experiences across Learning & Development, Leadership Development, Early Career Programs, Skills, and Careers. We are looking for builders who combine AI fluency, data, design, judgment, and business acumen to solve talent challenges and create meaningful employee experiences. This entry-level role is ideal for someone passionate about talent, learning, leadership, skills, and the future of work. You will contribute to enterprise talent initiatives by using AI, data, design, and modern technology to improve how employees learn, grow, and develop. Responsibilities • Support the design, development, and improvement of talent, learning, leadership, and career programs. • Use generative AI to conduct research, create content, analyze information, and streamline work. • Build and test basic AI agents, automations, prototypes, and workflow solutions using approved tools. • Analyze talent and workforce data to generate insights, inform decisions, and measure impact. • Create clear, usable, and engaging presentations, communications, resources, and employee experiences. • Support skills frameworks, career pathways, and workforce development initiatives. • Partner with stakeholders to implement, evaluate, and scale talent solutions. • Apply sound judgment to prioritize work, solve problems, and move initiatives forward. • Bachelor's degree in human resources, Business, Psychology, Education, Analytics, Design, Technology, and related fields. • Up to two years of experience gained through internships, academic projects, research, volunteer work, or full-time employment. • Strong analytical, communication, collaboration, and problem-solving skills. • Demonstrated interest in talent, learning, leadership, workforce skills, or employee development. • Ability to navigate ambiguity, learn quickly, and manage multiple priorities. • Curiosity, initiative, and commitment to continuous improvement. • Experience using generative AI tools and evaluating AI-generated outputs. • Experience creating a basic AI agent, automation, dashboard, prototype, or digital experience. • Familiarity with data analysis, visualization, design, or low-code tools. • Understanding of human-centered design and responsible AI principles. • Demonstrated business acumen and stakeholder focus. • Examples of turning an idea into a useful solution, experience, or measurable outcome. United States Enterprise Operations Hybrid Entry Level Raleigh, US Raleigh (0147) International Business Machines Corporation Analytics Artificial Intelligence Automation Communication Continuous Improvement Dashboard Data Analysis Design Education Human Resources Leadership Psychology Research User-centered Design Business Acumen Financial and Operational Combined Uniform Single Reporting Initiative Commitment Curiosity Employee Development Collaboration Professionalism Technology