AI-Driven Document Control Specialist

M.C. Dean, Inc.; Bowling Green (OH); On-site; USD 55,000 - 75,000; Full time

Benefits offered by this job

Collaborative work environment

Career development opportunities

Job summary

M.C. Dean, Inc. seeks a Document Control Specialist in Bowling Green, Ohio, to manage project documentation within a dynamic data center construction environment. The role requires over 4 years of document control experience, particularly in data center or mission-critical projects, and strong familiarity with Autodesk Construction Cloud.

Responsibilities include ensuring version control, coordinating document distribution, and supporting quality control processes. The ideal candidate will be detail-oriented and skilled in managing complex document sets against aggressive deadlines, utilizing AI-driven workflows for efficiency enhancements.

Qualifications

• 4+ years of document control experience in construction, preferably with data center projects.
• Direct experience with ACC or similar platforms.
• Strong understanding of submittal processes and construction drawings.

Responsibilities

• Maintain control of all project documentation within ACC.
• Manage and track drawing sets, shop drawings, and documents.
• Ensure version control and compliance of documents.

Skills

Document control experience

Attention to detail

Coordination skills

Submittal processes understanding

Education

High School Diploma

Tools

Autodesk Construction Cloud (ACC)

Job description

M.C. Dean, Inc. seeks a Document Control Specialist in Bowling Green, Ohio, to manage project documentation within a dynamic data center construction environment. The role requires over 4 years of document control experience, particularly in data center or mission-critical projects, and strong familiarity with Autodesk Construction Cloud.

Responsibilities include ensuring version control, coordinating document distribution, and supporting quality control processes. The ideal candidate will be detail-oriented and skilled in managing complex document sets against aggressive deadlines, utilizing AI-driven workflows for efficiency enhancements.