Job Description

Digital Twin & Asset Data Manager -- Chicago

About Reconstruct

AI Automated Inspector is a "physical Ai" company that transforms reality capture — 360° imagery and video walkthroughs taken on-site — into automatically generated floor plans, digital twins, and spatial analytics. Our platform helps healthcare, construction, and facilities management customers understand and manage their physical spaces with precision and confidence 1000x faster than previously available.

As a fast-growing company, every team member plays a meaningful role in delivering accurate spatial data to our customers. This role owns the system that makes that accuracy possible, from raw capture to finished digital twin.

Role Overview

The Digital Twin & Asset Data Manager will lead the Company's final deliverables to its customers, owning the end-to-end process by which 360° imagery and video walkthroughs become accurate, customer-ready floor plans, digital twins, and asset data. You’ll set the quality standards, optimize the workflows, and own the end product.

This is a hands-on leadership role. You’ll manage a small, close-knit team of specialists and interns. You will also be a player-coach fluent in the work that needs to be done: diagnosing registration and alignments, judging whether a capture is fit for production, and verifying that scale, coordinates, and asset placement are accurate. You’ll work closely with the VP's of Operations and Engineering to turn recurring QA steps into automated checks with customer-facing teams to make sure what we promise matches what we deliver.

Key Responsibilities

• Own the final deliverable to our operations, facility and compliance customers in healthcare and construction.
• Define and maintain accuracy and quality standards (tolerances, acceptance criteria, escalation paths) and the documentation that supports them.
• Hire, train, and manage operations interns and reality capture staff
• Track throughput, turnaround time, rework rates, and accuracy metrics; report on them to leadership and use them to drive process improvements
• Partner with Engineering and Operations to prioritize improvements, automate QA steps, and feed learnings back into the platform
• Serve as the technical point of contact for customers on capture requirements, deliverable specifications, and accuracy questions, particularly for healthcare facility and construction clients
• Plan capacity and scheduling across concurrent customer projects, including coordination with field capture teams.

About the Team

You’ll report to the VP of Operations and lead a growing team responsible for the core of what the Company delivers. Our team values consistent precision, operational rigor, and clear documentation. You’ll work closely with Operations, Engineering, and the Go-To-Market teams while directly influencing how the company scales as our customer base grows.

We’re building tools that matter. Accurate floor plans and digital twins help healthcare facilities track critical assets, ensure life-safety compliance, detect physical environment defects, and manage physical space at scale. In this role, you’ll be the person tying them all together.

Required

• Experience in reality capture, digital twin production, VDC/BIM, surveying, GIS, or a closely related spatial data field
• Track record of building and/or improving QA processes, standard operating procedures, and operational metrics
• Strong written and verbal communicator, able to document standards clearly and explain technical issues to non-technical customers and stakeholders
• Comfortable operating in a fast-moving, growth-stage environment where processes are being established
• Work in-office 5 days per week with occasional travel to customer sites throughout the United States.

Preferred

• Experience with healthcare facilities, construction, or facilities management clients
• Proficiency with point cloud and CAD/BIM tools (e.g., Autodesk ReCap, Revit, AutoCAD, Leica Cyclone, NavVis, Matterport)
• Scripting experience (Python or similar) for automating spatial data workflows
• Experience working alongside software or computer vision teams to automate processes

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