Project Data & Specification Sales Intern

Carlisle Companies is a leading manufacturer of building envelope products and solutions that make buildings more energy efficient, durable, and sustainable. We deliver roofing, insulation, waterproofing, and architectural systems for commercial and residential projects using a focus on innovation and continuous improvement to solve today's challenges. We're equally committed to our people, prioritizing safety, inclusion, career growth development, tuition assistance, and excellent benefits. With manufacturing, engineering, R&D, and corporate functions across North America and globally, Carlisle offers stability, agility, and opportunity in a performance-driven culture. Do meaningful work and shape the future of building solutions; apply today and come grow with us.

The Project Data & Specification Sales Intern will support the technical sales side of the Hunter Panels business by building practical, data-driven reporting that helps identify project activity, sales opportunities, and areas for follow-up. The primary focus of this role is to utilize project data platforms such as ConstructConnect and Dodge Construction Network to develop a recurring project opportunity report and supporting process that can be used by the sales operations and internal sales teams after the internship. Secondary responsibilities include reviewing specification platforms for accurate and current Hunter Panels information, helping identify opportunities for accessory sales in order files, and documenting repeatable workflows that improve visibility, follow-through, and sales growth.

Duties and Responsibilities:

• Use ConstructConnect and Dodge Construction Network to gather, organize, and evaluate project activity that may create sales opportunities for Hunter Panels.
• Build a recurring project opportunity report that summarizes relevant project information, potential product fit, sales opportunity, and recommended follow-up.
• Develop an SOP for the Hunter sales team that explains how project data is reviewed, reported, and used to support sales growth.
• Use approved AI platforms such as Microsoft Copilot and Claude to support data review, research organization, report drafting, and process documentation where appropriate.
• Maintain a data-driven approach to identifying trends, gaps, and actionable opportunities within project databases.
• Review specification resources, including Deltek MasterSpec/SpecPoint and RIB SpecLink, to help confirm Hunter Panels information is accurate, current, and positioned correctly.
• Identify outdated, missing, or incorrect specification information and summarize recommended updates for review by the appropriate internal team.
• Review order files to identify potential accessory sales opportunities, with emphasis on fasteners, tapes, and WRB where applicable.
• Create a repeatable accessory sales review report process that helps the internal sales team recognize and follow up on additional sales opportunities.
• Organize project, specification, and order file findings into clear summaries that support follow-up by Sales Operations, Internal Sales, Technical, or Field Sales teams.
• Interact with sales representatives as needed while primarily supporting the internal sales team and Sales Operations priorities.
• Create efficient, lasting processes, templates, and documentation that can continue to be used after completion of the internship.
• Document practical AI use cases, prompts, and review steps that can help the internal sales team maintain consistent reporting and specification review processes.
• Support continuous improvement initiatives tied to project visibility, specification accuracy, sales opportunity tracking, and technical sales support.

Knowledge, Skills & Abilities:

Essential Full Performance Knowledge:

• Microsoft Office Programs

• Excel

• Data organization and reporting

• Understanding and practical use of AI platforms such as Microsoft Copilot and Claude for research, data review, reporting support, and process improvement preferred

• Construction management, data analytics, sales operations, or technical sales concepts preferred

Essential Full Performance Skills:

• Strong attention to detail

• Ability to organize and interpret project and sales data

• Ability to develop clear reports, trackers, and process documentation

• Ability to use AI platforms responsibly to improve reporting, research organization, summarization, and process efficiency

• Strong written and verbal communication skills

• Ability to identify trends, gaps, and follow-up opportunities

• Ability to work independently while staying aligned with team priorities

• Customer- and sales-focused mindset

Essential Full Performance Abilities:

• Written comprehension and expression

• Oral comprehension and expression

• Inductive and deductive reasoning

• Problem sensitivity

• Data interpretation

• Process development

• Follow-through and task ownership

Education & Experience Requirements:

Education: Student pursuing a degree in Data Analytics, Construction Management, Business, Sales, Marketing, Architecture, Engineering, or a related field preferred. Data analytics and/or construction management coursework is preferred.

Experience: None required. Prior experience with Excel, data analysis, construction documents, sales support, or project research preferred.

Equivalency: A combination of education, relevant coursework, internship experience, or demonstrated skills may be considered.

Additional Information:

• Office setting
• Monday-Friday; standard business hours as assigned
• May include remote or hybrid work depending on business needs and internship structure

Our Culture & Values

At Carlisle, our culture is grounded in a shared commitment to our core values: Start with Safety, Focus on Customers, Act with Integrity, Pursue Excellence, Better Every Day, Drive Innovation, and Deliver Results. These values are not just words—they guide our behaviors, decisions, and actions every day. They are the foundation of our business and the reason for our continued success.

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