Sr Spatial Data Specialist
Listed on 2026-01-01
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IT/Tech
Data Engineer, Digital Media / Production
About Us
Freeman is a global leader in events, on a mission to redefine live for a new era. With a data-driven approach and the industry’s largest network of experts, Freeman’s insights shape exhibitions, exhibits, and events that drive audiences to action. The integrated full-service solutions leverage a 97-year legacy in event management as well as new technologies to deliver moments that matter.
SummaryThe Senior Spatial Data Specialist is a key technical and strategic individual contributor with deep expertise in spatial data systems, architectural assets, and media formats. Responsible for developing and managing the systems, standards, and services that centralize built‑environment data across the enterprise. This role bridges the AEC, media, and creative production worlds, ensuring that spatial data — from scans to BIM models and digital twins — is captured, cataloged, and optimized for creative, planning, and production teams.
This individual combines advanced knowledge of spatial data formats (BIM Models, CAD, GIS Layers, PLY, 3
DGS) with creative vision to build scalable, future‑ready systems that drive visualization, design, and storytelling workflows. They champion the establishment of spatial data services, pipelines, and governance models that convert raw environmental data into valuable creative assets.
This position will support our Design team. It is eligible to work a hybrid schedule, generally requiring work in‑office and/or show site 2‑3 days per week. The ideal candidate will be based out of any of the following locations:
- Las Vegas, NV
- Dallas, TX
- Design and direct the enterprise spatial data platform, unifying architectural, geospatial, and media data.
- Set standards for data formats, metadata schemas, and interoperability across BIM, CAD, GIS (ESRI, QGIS), LiDAR, and 3D media environments.
- Establish data lifecycle governance for ingestion, version control, access, and archiving.
- Own platform KPIs including adoption rates, data accuracy, and stakeholder satisfaction to ensure enterprise‑wide value.
- Define best practices for environment capture workflows.
- Lead vendor analysis, onboarding, and performance oversight for scanning and 3D environment capture providers.
- Develop quality assurance and intake protocols to guarantee precise, consistent spatial data assets.
- Coordinate with regional teams and vendors to manage on‑site data capture activities and resolve real‑time operational challenges.
- Collaborate with Creative, Strategy, and Growth teams to ensure spatial and visual data is accessible for concepting, visualization, and storytelling.
- Develop pipelines to bring built environment data into creative platforms such as AutoCAD, Sketch Up, and Adobe tools.
- Act as an advisor to creative and experience design leaders on spatial data applications.
- Partner with Real Estate, Operations, and Growth teams to align spatial data capabilities with business needs.
- Explore and implement AI‑assisted modeling, real‑time digital twins, AR/VR/MR, and spatial analytics to enable design and production.
- Collaborate with Data, Technology, and Creative Innovation teams to implement new tools for automated environment reconstruction, asset tagging, and generative visualization.
- Continuously evaluate emerging AEC and spatial media technologies to future‑proof enterprise capabilities.
- 7+ years of experience in AEC data management, environment capture, or spatial media systems, ideally bridging architectural and creative pipelines.
- Bachelor’s degree preferred, High School Diploma or Equivalent with relevant work experience required.
- Deep understanding of AEC and spatial formats (Revit, DWG, OBJ, USD, 3
DGS, etc.). - Experience with BIM/GIS integration, 3D scanning workflows (LiDAR, 3
DGS), and asset management platforms. - Demonstrated ability to lead cross‑functional and vendor teams to design and operationalize new systems and standards.
- Strong knowledge of metadata design, taxonomy, and data governance.
- Familiarity with AI/ML techniques…
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