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Lifecycle Asset Data Lead - Buildings

Job in Calgary, Alberta, T1W 0K6, Canada
Listing for: WSP Global Inc.
Full Time position
Listed on 2026-11-05
Job specializations:
  • IT/Tech
    Information & Knowledge Management, Data Engineering, Data Analyst
Salary/Wage Range or Industry Benchmark: 111000 - 163000 CAD Yearly CAD 111000.00 163000.00 YEAR
Job Description & How to Apply Below

What if you could redefine what's possible? With us, you can.

With us, you can. You want Purpose. Growth. Opportunity. People who get it.

We are the home of ambitious, passionate, and innovative world shapers.

With an unmatched breadth and depth of engineering, advisory and science‑based expertise, our global minds unite to power local solutions.

We are pathfinders and impact makers.

We are Visioneers.

We are WSP.

The Opportunity Build the Future with Us

A building’s story does not end at handover—and neither should the value of its data. As the Lifecycle Asset Data Lead - Buildings , you will shape WSP’s digital twin readiness and lifecycle data strategy for Property & Buildings, connecting the intelligence behind great design with the demands of long-term operational performance.

Reporting to the Digital Solutions Manager – Buildings, you will work with project delivery teams across Canada to build capabilities to ensure that the asset information WSP delivers to clients is structured, complete, accurate, controlled and usable for operations, maintenance and lifecycle decision-making. Digital twins, BIM and open data standards are the tools; operational, decision-ready asset information is the outcome.

This is a practitioner-led role. Receiving “AHU-01, Manufacturer X, Model Y” is not enough. You will be the person coaching delivery teams to meet client requirements, ensuring the asset also carries its location, system and parent/child relationships, classification, serial number, commissioning date, warranty, criticality, maintenance strategy, documents, replacement value, expected life and condition, and whether those fields are structured consistently enough to support the client’s CMMS/EAM, lifecycle planning and reporting.

Bring a new dimension to major building programs: help turn project information into the intelligence that powers living, evolving assets.

Your Impact
  • Shape WSP’s digital twin readiness and lifecycle data roadmap for Property & Buildings, bridging design intelligence and operational needs

  • Build capability across WSP through training, upskilling and mentorship, embedding lifecycle thinking into everyday project delivery

  • Act as an advisor to building owners, facility managers and operations teams on asset data strategy; bridging knowledge of engineering, asset management and facility operations; and translating implications into value, leaner operations and reduced risk

  • Define asset information requirements, handover specifications and acceptance criteria for client projects, aligned to ISO 19650 and to each client’s asset management objectives under ISO 55001

  • Develop asset hierarchies, functional location structures, classification mappings and data dictionaries aligned to the client’s CMMS/EAM or IWMS

  • Advise delivery teams on the transformation of design-phase models into structured, asset-rich data environments ready for operational systems through data cleansing, migration, reconciliation and QA/QC work streams

  • Review and validate contractor and BIM deliverables (COBie, IFC, model data and documents) against client project requirements, and reject data that does not meet them

  • Establish integration pathways between BIM data and operational platforms (IWMS, CMMS/EAM, BMS/BAS and IoT) through APIs, ETL processes and data mapping

The Skills That Set You Apart

8-12 years of relevant experience including at least 3 years expertise in asset data management, lifecycle information frameworks, and digital twin maturity models

Demonstrated ability to lead through influence, drive cross-functional collaboration, and challenge designers, contractors and system vendors when data does not meet requirements.

Strong knowledge of data standards and frameworks including COBie, IFC, Uni Format,…

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