Bridge & Structures Technology Leader
About the role
The Bridge and Structures Technology Leader plays a crucial role in shaping the technology vision, governance, and implementation for bridge and structural engineering within HDR’s Transportation Business Group. This position collaborates closely with the Bridge and Structures Director and the Transportation Technology Director to ensure that bridge and structures technology priorities align with the broader HDR technology strategy.
Responsibilities
Develop and maintain the Bridge and Structures technology roadmap in alignment with the TBG Technology Vision and execution plan, including measurable initiatives that elevate project delivery through technology.
Oversee bridge-specific software governance and validation programs across the bridge design software stack.
Advance model-centric, parametric, computational, and digital delivery workflows for Bridges and Structures projects.
Integrate analysis, design, BIM, architecture, data, and visualization tools into cohesive delivery pipelines.
Grow and champion a technology-first culture across the business class through communication, training, and structured adoption support.
Support development of bridge technology-focused career paths (e.g., digital delivery, computational design, automation, data/AI enablement), including role definitions and progression models for technology-enabled bridge delivery roles.
Coordinate bridge technology priorities across TBG technology service teams and corporate technology groups.
Qualifications
Demonstrated experience in bridge analysis, design, and delivery workflows, including use of industry-standard bridge software.
Proven ability to develop, validate, and implement technology-enabled engineering workflows within a consulting engineering environment.
Excellent communication skills and the ability to work collaboratively with diverse teams to find solutions that advance projects and initiatives.
Masters's degree in Civil Engineering, Structural Engineering, or a closely related field.
Experience with computational design, parametric modeling, or low-code engineering platforms applied to bridge and structural engineering.
Familiarity with bridge analysis and design software ecosystems such as MathCAD, LARSA, CSiBridge, SAP2000, sPColumn, LEAP Bridge, MIDAS, AASHTOWare, LUSAS, or similar tools.
Experience integrating analysis, BIM, and data workflows across platforms such as OpenBridge, Revit, Rhino, Grasshopper, or similar environments.
Demonstrated leadership in technology governance, validation processes, or practice-wide software programs.
Familiarity with AI concepts and practical industry applications within transportation and bridge delivery, including automation, computer vision, and decision support analytics.
Experience partnering with AI, data, and software teams to move prototypes into validated, production-ready workflows with appropriate governance and risk controls.
Experience mentoring engineers and helping define technology-focused career paths within bridge engineering.
Experience with programming languages such as Matlab, Python, or Visual Basic for Applications.
Preferred Qualifications
Demonstrated experience in bridge analysis, design, and delivery workflows, including use of industry-standard bridge software.
Proven ability to develop, validate, and implement technology-enabled engineering workflows within a consulting engineering environment.
Excellent communication skills and the ability to work collaboratively with diverse teams to find solutions that advance projects and initiatives.
Masters's degree in Civil Engineering, Structural Engineering, or a closely related field.
Experience with computational design, parametric modeling, or low-code engineering platforms applied to bridge and structural engineering.
Familiarity with bridge analysis and design software ecosystems such as MathCAD, LARSA, CSiBridge, SAP2000, sPColumn, LEAP Bridge, MIDAS, AASHTOWare, LUSAS, or similar tools.
Experience integrating analysis, BIM, and data workflows across platforms such as OpenBridge, Revit, Rhino, Grasshopper, or similar environments.
Demonstrated leadership in technology governance, validation processes, or practice-wide software programs.
Familiarity with AI concepts and practical industry applications within transportation and bridge delivery, including automation, computer vision, and decision support analytics.
Experience partnering with AI, data, and software teams to move prototypes into validated, production-ready workflows with appropriate governance and risk controls.
Experience mentoring engineers and helping define technology-focused career paths within bridge engineering.
Experience with programming languages such as Matlab, Python, or Visual Basic for Applications.