Building Asset Data Lead

Step into a pivotal leadership role shaping how building data delivers long-term value beyond design and construction. As the Building Asset Data Lead, you will define WSP’s digital twin readiness and lifecycle data strategy for Property & Buildings—bridging the gap between design excellence and operational performance.

This is an opportunity to influence how major building programs transition into intelligent, data-driven assets, while building capability across teams and delivering measurable outcomes for clients managing complex portfolios.

Your Impact

- Define and advance WSP’s digital twin readiness posture, enabling delivery of sophisticated, operations‑ready digital handover packages
- Lead the transformation of design-phase models into structured, asset‑rich data environments ready for operational systems integration
- Standardize lifecycle data frameworks using open standards (COBie, IFC) and classification systems (UniFormat, OmniClass)
- Partner with clients to develop business cases demonstrating lifecycle value, operational efficiencies, and risk reduction
- Act as a trusted advisor on digital twin and asset data strategies, bridging engineering, facilities management, and operations
- Establish integration pathways between BIM data and operational platforms including IWMS, CMMS, IoT, and BMS
- Build and lead a cross‑disciplinary Digital & Data Leadership Council to advance governance and innovation
- Drive cultural transformation through training, upskilling, and mentorship—embedding lifecycle thinking into everyday project delivery

The Skills That Set You Apart

- Deep expertise in asset data management, lifecycle information frameworks, and digital twin maturity models
- Proven experience working directly with building owners, facility managers, and operations teams to deliver high‑value data solutions
- Robust knowledge of data standards and frameworks including COBie, IFC, UniFormat, OmniClass, and ISO 19650




- Working understanding of operational technologies such as IWMS (e.g., Planon), CMMS (e.g., IBM Maximo), and BMS platforms
- Experience connecting design data to operations systems through APIs, ETL processes, and data integration architectures
- Fluency in BIM platforms such as Revit and Autodesk Construction Cloud, with an understanding of downstream data impacts
- Demonstrated ability to lead through influence and drive cross‑functional collaboration
- Strong communication skills, translating complex technical concepts into clear client value narratives

Compensation

AB, BC, NT, NU, SK & YT: $122,900 – 162,800
MB & ON: $112,100 – 154,400
NB, NL, NS, PE & QC: 111,000 – 147,400

Disclosure: The final salary awarded for this role may vary from the above range based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs. The wage range provided in this job posting may be subject to change for business purposes.

Job Info

- Job Identification 90380
- Posting Date 07/03/2026, 03:04 PM

Application & Safety Information

Health and Safety is a core paramount value of WSP. Given the importance of keeping one another safe it is expected that you comply with our Health, Safety & Environment (HSE) policy at all times as well as client HSE policies when working at client locations. Full details here.

Some safety‑sensitive positions involve fieldwork and may include work in a variety of environmental conditions, such as remote or isolated areas, working alone, and in inclement weather (within safe and reasonable limits).

WSP welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.

WSP is committed to the principles of employment equity. Only the candidates selected will be contacted.

WSP does not accept unsolicited resumes from agencies. Full details here.

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📌 Buildings Digital Asset Data Lead (Toronto)
🏢 WSP
📍 Toronto