Infrastructure Digital Twin & Asset Intelligence Lead

WSP

United States

On-site

USD 153,000 - 228,000

Full time

14 days+

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Job summary

WSP seeks an experienced Asset Intelligence & Digital Twin Specialist to develop, integrate, and operationalize digital asset ecosystems for transportation clients in the United States. The role focuses on connecting engineering, construction, operations, and asset management data into interoperable workflows to transform project data into actionable asset intelligence.

Responsibilities include implementing digital twins, data exchange workflows, and reality capture integration across DOT

Qualifications

Bachelor's degree in Engineering or related field.
10+ years of experience supporting digital delivery, BIM, asset information management, digital twin, or interoperability initiatives within infrastructure programs.
Thorough understanding of BIM, BIM-GIS integration, information requirements management, ISO 19650 principles.
Working knowledge of LiDAR processing and UAS imagery workflows, photogrammetry, reality mesh development, and point cloud integration.
Practitioner-level knowledge applying advanced modeling concepts to transportation infrastructure and ITS.

Responsibilities

Support development and implementation of transportation digital twins for roadway, bridge, tunnel, tolling, and operational infrastructure assets.
Establish workflows that integrate BIM, GIS, engineering, reality capture, and asset management information into connected digital environments.
Develop digital asset information structures to support planning, design, construction, operations, and maintenance.
Assist clients in transitioning from project-centric information management to enterprise asset intelligence frameworks.
Design and implement information exchange workflows between engineering, geospatial, construction, and asset management systems.
Support integration of asset information into CDEs, EAM platforms, GIS systems, and digital twin platforms.
Develop requirements for asset information capture, validation, governance, and lifecycle management.
Support implementation of open standards and interoperable information exchange practices.
Manage integration of LiDAR, photogrammetry, imagery, and survey information into digital delivery workflows.
Develop and validate reality meshes, point clouds, and existing conditions models.
Integrate reality capture data with BIM, CAD, GIS, and asset information systems.
Define asset information requirements and digital handover processes.
Support development of Asset Information Models (AIM) and digital as-built strategies.
Assist with metadata standards, data quality management, and data governance.
Facilitate workshops and stakeholder engagement related to digital delivery, BIM, and digital twin implementations.