Technology/AI Lead

*US AMR-Jones Lang LaSalle Americas, Inc.; City of Albany (NY); Hybride; USD 132 000 - 150 000; Plein temps

Avantages offerts par ce poste

401(k) plan with matching

Medical, Dental & Vision

Paid parental leave

Paid time off

Daily Pay

Résumé du poste

Jones Lang LaSalle Incorporated is seeking a Technology/AI Lead in Albany, NY for a hybrid role. The position combines EAM/CMMS expertise with AI-powered automation to improve facilities, project management, finance, and operations across diverse client sites. Expect travel to client sites and production rollout, with compensation in the listed range.

The role reports to the Sr. Director of Business Operations and partners with technology, data, and client stakeholders.

Qualifications

• Bachelor's degree or higher in a relevant field.
• 7+ years in enterprise asset management, maintenance/reliability, or facilities operations.
• Experience with EAM/CMMS platforms and multi-site deployment.
• Experience applying AI/ML, predictive analytics, or automation to maintenance workflows.
• Strong knowledge of reliability methods and data governance.

Responsabilités

• Identify opportunities for AI, automation, and process redesign across facilities, projects, finance, and operations.
• Design and deploy AI-enabled solutions for predictive maintenance and automated reporting.
• Build asset data governance and ETL links between systems; create KPI dashboards in Power BI; collaborate with data engineering on Databricks.
• Apply governance for responsible AI use and implement access controls and security.
• Track performance against KPIs and present ROI and adoption progress.
• Train teams on new AI-enabled tools and support rollout.

Connaissances

SQL

Python

Power BI

Cross-functional collaboration

Client-facing

Formation

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

Outils

Databricks

EAM/CMMS platforms

Cognos

Description du poste

JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.

Role Summary

The Technology/AI Lead will design, build, and deploy AI-enabled solutions and process improvements across the account. The work spans facilities management, project management, finance, and operations. This is a hands‑on, blended role. It pairs deep EAM/CMMS and reliability engineering expertise with AI-powered automation and analytics, along with the operational judgment to find where intelligent automation will cut cost, reduce downtime, and improve service delivery across a complex, geographically distributed utility portfolio. The Technology/AI Lead will turn account pain points into working solutions, take them from proof of concept to production, and measure their impact against KPIs agreed with client leadership. This hybrid role combines in‑office collaboration with flexibility to work remotely, plus some travel to client sites as needed.

Responsibilities

• Opportunity identification and process improvement

  Assess facilities, project management, finance, and operations workflows across the account to find opportunities for AI, automation, and process redesign. Prioritize them by impact, feasibility, and fit with account objectives. Map current‑state processes with on‑site teams, identify bottlenecks and manual effort, and design streamlined future‑state workflows before applying technology. Maintain a structured innovation pipeline for evaluating, piloting, and scaling emerging AI, IoT, and automation capabilities relevant to utility and critical infrastructure facilities.

• AI solution design and delivery

  Build and deploy AI‑enabled solutions for predictive maintenance of critical building systems, AI‑assisted capital project forecasting, and automated reporting. Architect AI‑powered automation within the account's EAM/CMMS platforms, including predictive analytics, automated diagnostics, and intelligent reporting that reduce manual effort for facilities teams. Design and optimize reliability programs, including reliability‑centered maintenance, FMEA, root cause analysis, asset criticality analysis, and risk‑based PM intervals. Develop asset lifecycle and capital planning models that use maintenance and condition data to inform repair‑versus‑replace and capital deferral decisions. Develop POCs to validate proposals, then move prototypes into production‑grade, monitored solutions.

• Asset data and analytics

  Enhance asset data governance standards, including equipment coding, asset hierarchies, and data quality controls, so the asset register is accurate and AI‑ready. Build ETL and data links between EAM/CMMS, financial, and project systems using SQL and Python, including structure for unstructured data such as work orders and inspection reports. Design executive KPI dashboards in Power BI or similar tools covering PM compliance, MTBF/MTTR, downtime trends, backlog, and cost performance. Partner with JLL's data engineering teams on the Databricks platform, defining the business logic, metric definitions, and asset data requirements that feed the governed semantic layer and natural‑language query tools.

• Governance, security, and compliance

  Apply governance frameworks for responsible AI use in the regulated utility environment, covering data quality, lineage, model performance monitoring, and evaluation of AI‑generated answers against trusted data. Implement access controls such as row‑ and column‑level security and masking so solutions respect data classification, privacy, cybersecurity, and client technology standards.

• ROI measurement and reporting

  Track and report initiative performance against agreed KPIs, including cost savings, downtime reduction, forecast accuracy, and user adoption. Present business cases, progress updates, and innovation roadmaps to JLL account leadership and client stakeholders.

• Adoption and enablement

  Train facilities and project teams on new AI‑enabled tools, translate technical capability into practical workflows, develop training materials, run workshops, and provide user support during rollout.

Required Qualifications

• Bachelor's degree in mechanical engineering, industrial engineering, facilities management, data science, business or a related field.
• 7+ years of experience in enterprise asset management, maintenance and reliability, or facilities operations, including technology implementation.
• Expert-level experience with one or more EAM/CMMS platforms including configuration, data migration, and multi‑site deployment.
• Demonstrated experience applying AI/ML, predictive analytics, or automation to maintenance and asset management workflows.
• Strong grounding in reliability methods: predictive and preventive maintenance, reliability‑centered maintenance, FMEA, root cause analysis, and asset criticality analysis.
• Working proficiency in SQL and Python, plus dashboarding tools such as Power BI or Cognos.
• Experience with asset data governance, data quality, and ETL in an enterprise environment.
• Demonstrated process improvement experience, such as process mapping, workflow redesign, or Lean/Six Sigma methods.
• Proven ability to manage cross‑functional work in a client‑facing environment, lead training and adoption, and explain technical concepts clearly to non‑technical stakeholders.

Preferred Qualifications

• Experience in utility, energy, petroleum, industrial, or critical infrastructure environments.
• Experience with IoT‑enabled building systems or condition monitoring.
• Energy optimization experience is a plus given the Gen2 roadmap.
• Familiarity with ISO55001 asset management standards and asset lifecycle or capital planning.
• Experience with Databricks, or with integrating EAM data into a lakehouse or semantic layer.
• Exposure to LLM‑based tools such as RAG, AI agents, or natural‑language query, applied to maintenance or asset data.
• Background in change management.
• PMP, CFM, CMRP, Lean Six Sigma, or EAM platform certifications are a plus.

Reporting and Collaboration

The Technology/AI Lead will report to the on‑account Sr. Director of Business Operations. They will collaborate closely with JLL's technology, data, and innovation teams and with client's facilities, operations, and other stakeholders.

This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship.

Expected compensation for this position: 132,000.00 – 150,000.00 USD per year. Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations.

Location: On‑site – Albany, NY, Northborough, MA

Personalized benefits that support personal well‑being and growth:

• 401(k) plan with matching company contributions
• Comprehensive Medical, Dental & Vision Care
• Paid parental leave at 100% of salary
• Paid Time Off and Company Holidays
• Early access to earned wages through Daily Pay

Equal Employment Opportunity & Disability Accommodations

Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities.

If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process – you may email us at [e-mail]. This email is only to request an accommodation.

For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here.

Pursuant to the Arizona Civil Rights Act, criminal convictions are not an absolute bar to employment.

Pursuant to Illinois Law, applicants are not obligated to disclose sealed or expunged records of conviction or arrest.

Pursuant to Columbia, SC ordinance, this position is subject to a background check for any convictions directly related to its duties and responsibilities. Only job‑related convictions will be considered and will not automatically disqualify the candidate.

California Residents only. If you are a California resident as defined in the California Consumer Privacy Act (CCPA) please view our Supplemental Privacy Statement which describes your rights and disclosures about your personal information.

Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance, JLL will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

For more information about how JLL processes your personal data, please view our Candidate Privacy Statement.

About JLL

For over 200 years, JLL (NYSE: JLL), a leading global commercial real estate and investment management company, has helped clients buy, build, occupy, manage and invest in a variety of commercial, industrial, hotel, residential and retail properties. A Fortune500® company with operations in over 80countries around the world, our employees bring the power of a global platform combined with local expertise. Driven by our purpose to shape the future of real estate for a better world, we help our clients, people and communities SEE A BRIGHTER WAY.

JLL is the brand name, and a registered trademark, of Jones Lang LaSalle Incorporated. For further information, visit jll.com.