Senior Applications Specialist - Geospatial, CAD Engineering, and Construction

The Senior Applications Specialist for Geospatial, CAD Engineering and Construction Workflows will lead project delivery teams to develop, standardize and advance software technology and tools across the Environmental Services (ENS) Global Practice including partnering with the Water (WTR) and Transportation (TRN) on projects. This position will lead the development and implementation of enterprise GIS, CAD, AI and digital delivery initiatives aligned with key technology and data initiatives.

ENS business lines share a need for standardized enterprise GIS, CAD, AI, hardware and software vendor relationships, asset management and field data collection. This role will define and drive those standards while preparing our GIS and CAD workforce for a new era in data management, software development, construction project use, project management, and built-in AI in enterprise platforms such as Esri, open source geospatial, Autodesk and Bentley, supporting modern digital delivery offerings that differentiate us in the marketplace.

• Lead development of standards, reference architectures and roadmaps for enterprise GIS, CAD, AI, and supporting hardware and software.
• Coordinate between disciplines, business lines and Global Practices to develop software and technology that optimize business processes and deliverables, provide seamless integration, and improve data management.
• Serve as the technical lead for enterprise platform strategy, licensing models and governance, balancing standardization with the needs of individual business lines and projects.
• Review research on new software, platforms and emerging technology; evaluate and recommend adoption in support of corporate project delivery and data management initiatives.

• Manage strategic relationships with software and hardware vendors (for example Esri, Autodesk, Bentley, Microsoft, and field data collection and positioning hardware providers), including enterprise agreements, licensing optimization, support escalation and roadmap engagement.
• Lead technical evaluations, pilots and proofs of concept for vendor products and recommend standard configurations.

• Lead design, implementation and administration of enterprise GIS (for example ArcGIS Enterprise, ArcGIS Online and Portal), enterprise open source geospatial and CAD/BIM environments (for example Civil 3D, Autodesk Construction Cloud), including content, security and user management.
• Design geospatial data architectures and pipelines that connect GIS, CAD, asset, project and business systems, with attention to data quality, schema design, coordinate reference systems, and cloud-native and open formats (for example Geo Parquet, COG and PMTiles) alongside legacy formats.
• Develop and promote spatial SQL, ETL and automation practices (for example Python, Arc Py, FME or equivalent, GDAL/OGR) to improve repeatability and scale.
• Establish data governance, versioning, metadata and QA/QC standards for spatial and engineering data.

• Lead standard approaches for asset inventory, condition assessment and asset management including integration with client asset management systems.
• Develop and support field data collection solutions (for example ArcGIS Field Maps, Survey
  123, mobile and high-accuracy GNSS, drone/UAS and reality capture) with standard workflows from field to enterprise database.

• Develop and implement workflows that use GIS, CAD and BIM data in construction projects, including model-based coordination, quantities, progress tracking, inspection, as-built capture and handover to client asset systems.
• Support the development of digital delivery offerings, such as dashboards, web maps, digital twins and data-rich deliverables, that differentiate ENS in the marketplace.

• Lead adoption of built-in AI capabilities in enterprise applications (for example Esri, Autodesk, Bentley and Microsoft platforms) and of GeoAI methods such as feature extraction, classification and imagery and point cloud analysis.
• Establish guidance for responsible, secure and effective AI use, including AI-assisted code generation, prompt practices, validation of AI output, and data privacy and client confidentiality requirements.
• Lead and develop solutions for applications, reports and dashboards for internal and…