Sr. Director, Data Engineering

About this role

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.   

Sr. Director, Data Engineering (REMS)   About JLL and JLL Technologies   JLL is a leading professional services firm that specializes in real estate and investment management. Our vision is to reimagine the world of real estate, creating rewarding opportunities and amazing spaces where people can achieve their ambitions. In doing so, we will build a better tomorrow for our clients, our people, and our communities.     JLL Technologies is a specialized group within JLL. At JLL Technologies, our mission is to bring technological innovation to commercial real estate. We deliver unparalleled digital advisory, implementation, and services solutions to organizations globally. Our goal is to leverage technology to increase the value and liquidity of the world's buildings, while enhancing the productivity and happiness of those that occupy them.  

What this job involves   We are seeking an experienced Sr. Director, Data Engineering to lead the REMS (Real Estate Management Services) Data Engineering team within JLL Technologies. In this role, you will own people leadership, delivery, and technical direction for the data platforms and pipelines that power REMS products across JLL's global real estate management operations — spanning property and lease data, facilities workflows, work order management, and operational intelligence.     You will set priorities in close partnership with REMS Product and Engineering leadership, govern the technical roadmap, grow a high-performing team, and ensure the delivery of reliable, well-governed data assets that scale with the business. The scope spans platform strategy, data architecture, team development, and stakeholder alignment across REMS and enterprise data functions.     The ideal candidate blends Principal Data Engineer-level technical credibility — expert data engineering, cloud architecture, and cross-domain platform delivery — with proven experience managing through leads and managers, navigating complex enterprise environments, and translating real estate management data challenges into durable engineering capabilities.  

Location: Chicago or Dallas Travel 20%

What you'll get to do   As Director of Data Engineering for REMS, your "customers" include REMS Product leadership, application and platform engineering teams, facilities and property operations practitioners who depend on accurate and timely data, and enterprise data consumers across JLL. Your mission is to lead the REMS Data Engineering function — defining the roadmap, operating model, team structure, and engineering standards that turn complex real estate management data into trusted, scalable platform capabilities.     This is an opportunity to shape how data engineering enables the next generation of REMS products — from intelligent property workflows and lease analytics to data-driven operational automation — while building the engineering culture, governance practices, and technical foundations that make that platform sustainable and trusted across JLL.   Key responsibilities   Strategic architecture and vision: Define and drive the REMS data platform strategy, consolidating fragmented data sources and legacy pipelines into a unified, governed, and scalable architecture that serves as the foundation for analytics, AI, and operational decision-making across real estate management.   Technical leadership: Provide hands-on technical leadership across the REMS Data Engineering team and related initiatives — setting architectural standards, design patterns, and engineering best practices that raise the quality bar across the organization and ensure alignment with enterprise platform standards.   Data platform delivery: Oversee the design, delivery, and continuous improvement of REMS data pipelines, APIs, and backend data services that ingest, transform, and serve property, lease, facilities, and operational data to downstream products, analytics, and AI systems.   Data modeling and architecture: Own data modeling standards across REMS — including relational, dimensional, and NoSQL schemas — ensuring data structures are designed for performance, maintainability, and reliable consumption by business intelligence, data science, and application teams.   Data governance and quality: Establish DataOps practices, data quality frameworks, lineage tracking, and compliance controls that ensure REMS data products are production-ready, auditable, and trusted — with clear ownership models and monitoring across all data assets.   Enterprise integration and API strategy: Architect integration patterns and API strategies that enable seamless data access across REMS applications, analytics platforms, and enterprise systems — including event-driven patterns and consumption standards for both internal and external data consumers.   Cross-functional leadership: Partner with REMS Product, Application Engineering, Enterprise Data, and business stakeholders to align data platform capabilities with product strategy and operational priorities — translating complex data challenges into actionable roadmaps with measurable outcomes.   Team development and mentorship: Hire, develop, and retain data engineers and team leads across all levels; conduct architecture and delivery reviews, provide technical guidance, and build a team culture defined by ownership, curiosity, and continuous improvement.   Stakeholder management: Serve as the data engineering voic

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