TSSO AI & Data Science Lead

JLL (Jones Lang LaSalle)

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
New York, NY
Salary
$135,000–$155,000 / yr
Posted
2 days ago
Freshness
Confirmed live yesterday
Closes
Nov 27, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $203k
This role $145k
$122k most similar roles pay here $259k

This role pays less than 86% of similar roles. Most pay $160,675–$246,150 — the shaded band above. At the midpoint, this role pays about $145k versus about $203k for comparable roles.

Based on 239 similar postings.

Employer

About JLL (Jones Lang LaSalle)

JLL (Jones Lang LaSalle) is a global professional services firm specializing in real estate and investment management, providing services to buyers, sellers, tenants, landlords, investors, and developers. Industry: Commercial Real Estate Services

JLL (Jones Lang LaSalle) currently has 75 open roles on FindRole.

Listed pay typically runs $147,000–$190,000 across 35 roles with salary data.

Most-posted roles

View all roles at JLL (Jones Lang LaSalle)

At a glance

TL;DR · TSSO AI & Data Science Lead

The TSSO AI & Data Science Lead serves as a technical and strategic leader for Technical Services & Sustainable Operations, driving advanced analytics initiatives to enhance operational excellence. This role involves establishing data-driven foundations, managing the AI and data roadmap, and overseeing the integration of systems across Sustainable Operations, Integrated Operations Centers, Reliability Engineering, and Asset Renewal Planning. You will develop non-financial performance reporting, manage asset readiness project analytics, and lead the development of predictive maintenance identification using Claude AI code. The role requires expertise in Python, R, SQL, Power BI, Tableau, and cloud data platforms while managing enterprise data architecture and governance. By translating facilities management needs into technical requirements, you will solve complex problems regarding data integrity and scalability within the real estate operations domain to ensure seamless interoperability across various operational workflows and lifecycle milestones.

What you'll do

  • Establish and lead the strategic roadmap for AI, data science, and advanced analytics across TSSO operations.
  • Develop executive dashboards and reporting frameworks to track non-financial performance across all TSSO functions.
  • Manage data governance protocols to ensure high quality, security, and accessibility across the enterprise infrastructure.
  • Integrate technical systems across Sustainable Operations, Integrated Operations Centers, and Asset Renewal Planning for seamless interoperability.
  • Translate business requirements into actionable technology solutions and data models to improve operational efficiency.
  • Oversee the development of AI tools and training programs to build internal organizational capabilities.
  • Manage "Citizen AI" initiatives to democratize data capabilities and eliminate redundant work across teams.
  • Lead the integration of large language models and automated code to improve data accuracy in asset management.

What we're looking for

  • Must have 8+ years of progressive experience in data science, analytics, or AI implementation within large-scale operations.
  • Must have 5+ years in leadership roles managing or partnering with analytics teams to drive operational excellence.
  • Must possess a proven track record of delivering enterprise-grade analytics solutions and performance reporting systems.
  • Must have deep expertise in AI/ML technologies, including large language models like Claude AI.
  • Must have a strong background in data governance, quality management, and enterprise data architecture.
  • Must be proficient in Python, R, SQL, Power BI, Tableau, and modern cloud data stack technologies.
  • Experience with real estate operations, facilities management, or transaction services (preferred).

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