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AI & Analytics Intern (Talent Management)

DP World
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Department: People – Talent Management
Location: Charlotte, NC – Americas Regional Office (ARO)
Employment Type: 10-Week Summer Internship (May 31 – August 6)
Reports To: Director, Talent Management – Americas

Job Purpose

The AI & Analytics Intern (Talent Management) will support the digital transformation of Talent Management processes by leveraging artificial intelligence, data analytics, and automation to improve operational efficiency, enhance talent experiences, and enable data-driven decision-making.

Working closely with the Talent Management team, the intern will contribute to the development of AI-enabled solutions, talent dashboards, and digital tools that provide actionable insights for leadership and executive decision-making. The role will focus on leveraging existing talent data, identifying opportunities for innovation, and supporting the use of AI technologies to strengthen performance management, talent reviews, succession planning, and high-potential talent processes.

Key Responsibilities

AI Solutions & Digital Innovation

  • Support the design, development, and implementation of AI-enabled solutions that enhance Talent Management processes and improve the employee, manager, and HR experience.
  • Explore opportunities to leverage generative AI tools to improve productivity, talent insights, and decision-making.
  • Develop AI-powered resources, assistants, prompt libraries, and reusable digital tools to support Talent Management initiatives.
  • Research emerging AI technologies and recommend practical applications within Talent Management.

Talent Analytics & Executive Dashboards

  • Collect, organize, analyze, and interpret existing Talent Management data to identify trends, patterns, and actionable insights.
  • Develop interactive dashboards, reports, and data visualizations to support leadership and executive decision-making.
  • Support the development of standardized talent dashboards covering performance management, talent reviews, succession planning, leadership development, and high-potential talent programs.
  • Identify opportunities to improve data quality, reporting accuracy, and accessibility of talent information.
  • Translate complex data into clear, meaningful insights that support strategic talent discussions and workforce planning.

Process Automation & Optimization

  • Identify opportunities to streamline and automate repetitive Talent Management activities and workflows.
  • Support the development of automated reporting, communications, reminders, and administrative processes using approved digital platforms.
  • Assist with testing, documenting, and improving automated solutions to enhance process efficiency and scalability.
  • Collaborate with Talent Management stakeholders to identify process improvement opportunities.

Talent Management Digital Solutions

  • Support the development of digital resources and AI-enabled tools that enhance performance management, succession planning, and high-potential identification and development processes.
  • Assist in creating digital tools that support manager self-service, goal setting, feedback, talent assessments, and skills and competency mapping.
  • Develop standardized templates, playbooks, knowledge repositories, and process documentation to improve consistency and accessibility.
  • Support the development of interactive guidance materials and digital learning resources for HR Business Partners, Talent Management teams, and managers.

Collaboration & Continuous Improvement

  • Partner with Talent Management stakeholders to understand business needs and identify opportunities to apply AI and analytics.
  • Support digital transformation projects and continuous improvement initiatives across Talent Management.
  • Assist with the adoption of new digital tools by developing user guidance, documentation, and training resources.
  • Contribute innovative ideas and practical solutions that enhance the effectiveness and scalability of Talent Management programs.

Qualifications

  • Currently pursuing or recently completed a Bachelor's degree in Data Analytics, Computer Science, Artificial Intelligence, Information Systems, Business Analytics, Industrial Engineering, Human Resources, Business Administration, Organizational Psychology, or a related field.
  • Demonstrated interest in artificial intelligence, data analytics, digital transformation, and their applications in Human Resources and Talent Management.
  • Strong analytical and problem-solving abilities with an interest in translating data into actionable business insights.
  • Ability to work collaboratively, manage multiple priorities, and communicate technical concepts to nontechnical stakeholders.

Preferred Technical Skills

  • Familiarity with generative AI platforms such as Microsoft Copilot, ChatGPT, Claude, or similar technologies.
  • Proficiency in Microsoft Excel and Microsoft 365 applications.
  • Experience or familiarity with Power BI, data visualization, and dashboard development.
  • Exposure to Microsoft Power Automate, Power Apps, or other workflow automation tools.
  • Basic understanding of data analysis, data management, process mapping, or SQL is desirable.
  • Interest in applying emerging technologies to solve business challenges.

Key Competencies

  • Analytical thinking and problem-solving
  • Digital curiosity and innovation
  • Learning agility and adaptability
  • Initiative and continuous improvement mindset
  • Strong attention to detail
  • Collaboration and teamwork
  • Effective communication
  • Customer and stakeholder focus

Expected Deliverables

  • AI-enabled tools and digital resources supporting Talent Management processes.
  • Interactive talent dashboards and analytics reports that provide actionable insights for leadership.
  • Automated workflows that reduce manual effort and improve process efficiency.
  • Standardized reporting templates, digital playbooks, and process documentation.
  • AI prompt libraries, knowledge repositories, and reusable resources.
  • Recommendations and proof-of-concept solutions that support ongoing digital transformation.

Measures of Success

Success in this role will be demonstrated through the development and adoption of practical AI-enabled solutions, improved accessibility and quality of talent insights, increased reporting efficiency, reduction in manual administrative activities, and contributions to a more efficient, scalable, and data-driven Talent Management function.