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# IT SLP

- **Company:** Stanley Black & Decker
- **Location:** Towson, MD, United States
- **Salary:** $60,000 - $96,600
- **Contract:** Internship / Graduate position
- **Skills:** Artificial Intelligence, Data Analysis, Information Systems, Systems Development Life Cycle, Information Technology
- **Published:** October 20, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=a5dfbc87670350e1

## About the Role

You love to learn and grow and be acknowledged for your valuable contributions. You're not intimidated by innovation. Wouldn't it be great if you could do your job and do a world of good? In fact, you embrace it. You are curious, adaptable, and energized by innovation. You enjoy learning new technologies and applying them to solve business challenges. You also have:

 * Bachelor's degree in Business, Information Systems, Computer Science, or a related field.
 * Foundational knowledge of IT principles, systems development, project management, and analytical problem-solving.
 * Prior internship in functional IT area which may include Enterprise Architecture, Data Science, Business Insights and Intelligent Automation.
 * Interest in AI, automation, analytics, and emerging technologies, with a willingness to learn and apply new tools quickly.
 * Strong communication and collaboration skills, with the ability to work effectively across teams and levels of the organization.
 * Demonstrated leadership potential, sound judgment, integrity, accountability, and a continuous improvement mindset. Must be willing to rotate work assignments, projects, and teams every 6-12 months throughout the program. Relocation for a minimum of one rotation may be required.
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## Description

* Analyze business processes, assess needs, and support the development of technology solutions that align with business priorities and drive operational improvement.
 * Partner with business stakeholders and IT teams to define requirements, solve problems, and recommend technical or AI-enabled solutions.
 * Support the implementation, testing, documentation, training, and continuous improvement of systems, processes, and AI-driven capabilities. Collaborate across functions to identify opportunities for innovation, enhance user experience, and improve business performance through technology.
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