Leadership Development Intern
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Job Description
About Company:
Experian is a global data and technology company that empowers opportunities for people and businesses worldwide. They operate across various markets, including financial services, healthcare, automotive, and insurance, using data, analytics, and software to redefine lending practices, prevent fraud, simplify healthcare, deliver digital marketing solutions, and provide insights into the automotive market. With a team of 23,300 people across 32 countries, Experian is listed on the London Stock Exchange (EXPN) and has its corporate headquarters in Dublin, Ireland. They focus on innovation and invest in advanced technologies.
Job Description:
This is a remote, part-time (20 hours/week), six-month internship supporting Experian’s Global Center of Excellence in Leadership Development and Learning. You’ll report directly to the Global Head of Learning and Leadership Development and contribute to projects shaping the future of leadership at Experian.
Responsibilities include:
• Contributing to the Leadership Development strategy through research and presentation preparation.
• Supporting Leadership Development platforms and building learning programs like the CEO Forum and the Product Management Academy through research, feedback sessions, and evaluation planning.
• Developing content and communications to boost leader engagement.
• Tracking usage metrics and promoting global adoption of leadership tools.
• Participating in work analyzing the value of learning and leadership on business metrics.
Qualifications:
• Currently enrolled in a Master’s degree or higher in Instructional Design, I/O Psychology, Organization Development or other relevant degree.
• Previous experience in Instructional Design, organization development or an interest in leadership development.
• Moderate to advanced experience with Excel including creation of VLOOKUPs and pivot tables.
• Proficiency in psychometric statistics, including some level of experience with data modeling, factor analysis, regression techniques, and interpreting complex assessment data to inform talent strategies.
