AI-Driven Facilities Tech Lead

Jones Lang LaSalle Incorporated; Northborough (MA); Hybrid; USD 132,000 - 150,000; Full time

Benefits offered by this job

401(k) plan with matching company

Comprehensive Medical, Dental & Vision

Paid parental leave

Paid Time Off and Company Holidays

Daily Pay

Job summary

Jones Lang LaSalle Incorporated seeks a Technology/AI Lead to design, build, and deploy AI-enabled solutions across facilities management, project management, finance, and operations. This hands-on, hybrid role blends EAM/CMMS expertise with AI automation, with travel to client sites as needed.

The ideal candidate will lead innovation from proof of concept to production, measure KPIs with client leadership, and collaborate with JLL’s data engineering teams on Databricks.

Qualifications

• Bachelor’s degree in mechanical/industrial engineering, facilities mgmt, data science or related field.
• 7+ years in enterprise asset management, maintenance and reliability or facilities operations.
• Expert-level experience with EAM/CMMS platforms (configuration, data migration, multi-site deployment).
• Experience applying AI/ML, predictive analytics, or automation to maintenance workflows.
• Reliability methods: RCM, FMEA, RCA, risk-based PM intervals.
• SQL and Python proficiency; dashboards in Power BI or Cognos.
• Asset data governance, data quality, and ETL in an enterprise environment.
• Process improvement: Lean Six Sigma or similar.

Responsibilities

• Identify opportunities for AI/automation in facilities management workflows.
• Map current processes with on-site teams and design streamlined future-state workflows.
• Develop AI-enabled solutions for predictive maintenance and automated reporting.
• Architect AI/automation within EAM/CMMS and other systems.
• Build asset data governance and KPI dashboards to monitor performance.
• Partner with data teams on Databricks and semantic layers.
• Train teams and drive tool adoption during rollout.
• Present progress and ROI to account leadership.

Skills

SQL

Python

Power BI

Cognos

AI/ML

Education

Bachelor’s degree in mechanical engineering, industrial engineering, facilities management, data science, business or related field

Tools

EAM/CMMS platforms

Job description

Jones Lang LaSalle Incorporated seeks a Technology/AI Lead to design, build, and deploy AI-enabled solutions across facilities management, project management, finance, and operations. This hands-on, hybrid role blends EAM/CMMS expertise with AI automation, with travel to client sites as needed.

The ideal candidate will lead innovation from proof of concept to production, measure KPIs with client leadership, and collaborate with JLL’s data engineering teams on Databricks.