Senior Computational Designer

Your Opportunity

We are seeking a Senior Computational Designer, Data Centers & Industrial Projects Specialist to join Stantec’s Design Computing team. This is an opportunity to collaborate with the team to support current, and help to develop computational design, automation, and design technology innovation. This role will support Mission Critical and Advanced Manufacturing projects by identifying, prototyping, and implementing high-value automation across architecture, engineering, BIM, and digital delivery workflows.

The successful candidate will work directly with practitioners and project teams to understand current delivery methods, identify automation opportunities, and translate project needs into practical computational workflows. They will build and validate proofs of concept, test them against real project conditions, and coordinate with in-house development, Digital Practice, Digital Delivery, IT, and platform teams to transition successful prototypes into scalable, stable BIM-integrated tools and supported firmwide workflows.

As a senior contributor, this person will help establish repeatable engagement models, define measurable outcomes, communicate value to project and practice leadership, and support consistent, billable deployment of Design Computing within active project work. Curiosity for AI-assisted workflows, rapid prototyping, and emerging coding methods will be valuable as the team continues to move efficiently from idea to tested solution.

This role is critical to moving computational design from project‑specific expertise to firm‑wide capability. The Senior Computational Designer will help Stantec:

• Work more seamlessly across disciplines
• Make design automation operational, not experimental
• Build a sustainable, billable design computing team
• Clearly demonstrate the value of computation to leadership and clients

Your Key Responsibilities

Project Delivery and Design Integration

• Apply computational design methods to mission critical, data center, industrial, advanced manufacturing, and other technically complex building projects.
• Develop parametric and data-driven workflows that connect geometry, program, planning criteria, engineering inputs, equipment layouts, system requirements, performance criteria, and documentation outputs.
• Support early design exploration, option studies, layout evaluation, and decision-making through practical computational methods.
• Work across architecture, electrical, mechanical, structural, and digital delivery teams to improve coordination, reduce manual rework, and increase design clarity.
• Translate project-specific challenges into reusable workflows, automation patterns, and delivery methods that can be applied across future projects and sectors.

Automation, BIM and Digital Delivery

• Lead practitioner and project-team conversations to identify high-value automation opportunities.
• Build Revit-based automations using Dynamo, Rhino.Inside.Revit, Grasshopper, Python, C#, the Revit API, or related workflows, with a focus on electrical and mechanical design, coordination, documentation, and data tasks.
• Automate repetitive design, analysis, QA/QC, documentation, modeling, and data-management tasks where they improve speed, reliability, or coordination across disciplines.
• Build, test, validate, and document proofs of concept against real project needs and conditions.
• Partner with development and platform teams to transition successful prototypes into scalable BIM-integrated tools or supported firmwide workflows.
• Balance innovation with reliability by ensuring automations are maintainable, aligned with project delivery standards, and ready for handoff when appropriate.

Specialist Support for Data Centers and Industrial Projects

• Support planning, test-fit, modularization, spatial coordination, MEP systems coordination, equipment layouts, and repeatable documentation workflows for high-complexity technical projects.
• Structure project data so teams can make faster, clearer decisions across disciplines and phases.
• Help teams evaluate tradeoffs related to layout, coordination, performance, delivery speed, and constructability.
• Identify opportunities to standardize computational workflows across recurring project types, building systems, and client delivery requirements.
• Support workflow scoping, internal training, and hands-on implementation for teams adopting computational methods.

Value, Metrics and Communication

• Define, track, and communicate value metrics for computational design, including hours saved, reduced rework, faster iteration, improved coordination, risk reduction, delivery quality, workflow reuse, project-team adoption, and demonstrated business value.
• Translate technical work into clear project and business language for project managers, discipline leads, clients, and firm leadership.
• Provide regular reporting on active automations, utilization, project impact, adoption barriers, lessons learned, and opportunities for broader deployment.
• Support pursuits, proposals, and internal case studies by showing how automation and computational design improve delivery for mission critical and other technical sectors.