TSSO AI & Data Science Lead
Listed on 2026-09-13
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IT/Tech
Data Analyst, Data Science Manager, Data Engineering, Business Systems & Technology Analysis
Position Overview
The TSSO AI & Data Science Lead will drive strategic AI and analytics initiatives across Technical Services & Sustainable Operations (TSSO), establishing data-driven foundations that enhance operational excellence and accelerate innovation. This role serves as the technical and strategic leader for AI, data science, and advanced analytics capabilities, holding decision‑making authority over the AI and data roadmap and operating across matrix partnerships spanning Sustainable Operations, Integrated Operations Centers, Reliability Engineering, and Asset Renewal Planning to ensure these systems work as one connected ecosystem.
Position OverviewThe TSSO AI & Data Science Lead will drive strategic AI and analytics initiatives across Technical Services & Sustainable Operations (TSSO), establishing data-driven foundations that enhance operational excellence and accelerate innovation. This role serves as the technical and strategic leader for AI, data science, and advanced analytics capabilities, holding decision‑making authority over the AI and data roadmap and operating across matrix partnerships spanning Sustainable Operations, Integrated Operations Centers, Reliability Engineering, and Asset Renewal Planning to ensure these systems work as one connected ecosystem.
Key Responsibilities Performance Management & Reporting- Support TSSO non‑financial performance reporting by mapping data sources and facilitating efficient reporting methodologies
- Develop and maintain executive, non‑enterprise dashboards and reporting frameworks that track operational performance across all TSSO functions
- Support ARP analytics and ongoing dashboard updates, including scorecard, tracker, and advanced statistics
- Ensure critical access to EDP for data extracts by leading integration with Claude AI and technical delivery teams
- Lead vital development of preventive maintenance (PM) identification using Claude AI code to improve data accuracy and asset management
- Troubleshoot Property Hub data discrepancies core to ARP initiatives
- Conduct ADQ Next Gen dashboard variance analyses and reconciliation to ensure data integrity
- Drive ARP data model development and implementation to instill confidence in analytics results and AI utilization, moving solutions beyond pilot stage into full operational adoption with measurable impact on business outcomes
- Partner with and train Analytics Services team on AI‑analytical tools to build organizational capability and ensure scalability
- Establish access to all data across the LCAM ecosystem and JLL’s “data lake” tables, enabling comprehensive asset lifecycle analytics
- Support data integration across lifecycle milestones to support seamless data integration across operational workflows
- Lead in ensuring proper governance of data standards
- Provide expertise in AI processing for OnePM load files to enhance client delivery
- Drive integration of data topology for LCAM outcomes, ensuring consistency and reliability
- Support prioritization of tech stack and Business Requirements Documents (BRDs) to ensure timely development and deployment of technology
- Support data integration across delivery teams and workflows to achieve efficiencies that drive margin
- Ensure proper governance of WPM and TSSO data standards and quality frameworks
- Translate business (FM) needs into actionable technology requirements and data solutions, in close strategic partnership with the WPM organization to align tools and priorities across teams
- Own WPM TSSO Asset Data Governance, working cross‑functionally with relevant teams to bridge technical innovation with business value creation
- Partner with JLLT Product, Data, Azara, and…
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