AI & Smart Building Tech Analyst — Hybrid/Remote

CBRE Global Workplace Solutions (GWS)

Greater London

Hybrid

GBP 70,000 - 110,000

Full time

33 hours ago
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Benefits offered by this job

Flexible hybrid/remote work
Global tech pathways

Job summary

CBRE Global Workplace Solutions (GWS) seeks a Technology Analyst to lead discovery, hands-on development, and portfolio-wide rollout of AI, automation, and smart building solutions for a tier-one client portfolio across EMEA.

You will walk plant rooms with engineers to uncover bottlenecks, prototype solutions with low-code engines and AI tools, and scale pilots into standard operating systems across millions of square feet.

Qualifications

  • 2-5 years delivering technology implementations or operational innovation programs.
  • Experience with low-code development and systems integration.
  • Ability to write structured requirements and lead pilots end-to-end.
  • Bachelor's degree in Information Systems, Analytics, CS, Engineering or equivalent.

Responsibilities

  • Scan for proptech and smart building innovations; partner with cross-functional teams to prioritise tech initiatives.
  • Translate ideas into business charters and technical requirements; evaluate data availability and ROI.
  • Build MVPs and automated workflows using low-code tools and modern APIs/AI frameworks.
  • Lead end-to-end pilot execution on-site and develop deployment playbooks for regional rollout.

Skills

Low-code development
APIs integration
Stakeholder communication
Data architecture
Google Apps Script

Education

Bachelor's degree in Information Systems/Analytics/CS/Engineering

Tools

AppSheet
Power Apps
Vertex AI
LLM APIs

Job description

CBRE Global Workplace Solutions (GWS) seeks a Technology Analyst to lead discovery, hands-on development, and portfolio-wide rollout of AI, automation, and smart building solutions for a tier-one client portfolio across EMEA.

You will walk plant rooms with engineers to uncover bottlenecks, prototype solutions with low-code engines and AI tools, and scale pilots into standard operating systems across millions of square feet.

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