Pay
$154K–$225K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Chicago, IL
Actively hiring, first seen by us todayWork setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: Full-TimeFrom the employer’s posting
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 manage a small, close-knit team of specialists and interns.
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.
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.
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
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.
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
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.
In the employer’s words · Read in context
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$154K–$225K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Day 0
Early. Similar jobs usually come down between day 7 and day 54.
From 8,063 similar postings that came down. Coming down is not always a hire.
1 open job
Open jobs by the week we first saw them, last 12 weeks.
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- 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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New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
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
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
Preferred
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Chicago, IL
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.
No clear work-authorization passage found. Eligibility is unconfirmed.