Senior Engineering Leader, Data Platform & AI

JLL empowers you to shape a brighter way
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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 find a place where they belong. Whether you have deep experience in commercial real estate, skilled trades, or technology, or you’re looking to apply your relevant experience to a new industry, join us as we help shape a brighter way forward.

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. JLL Technologies is a specialized group within JLL dedicated to bringing technology innovation to commercial real estate. We deliver unparalleled digital advisory, implementation, and services solutions to organizations globally, leveraging technology to increase the value and liquidity of the world's buildings while enhancing productivity and the happiness of those who occupy them.

What this job involves

The JLL Technologies Enterprise Data team is a newly established central organization that oversees JLL’s data strategy. We are seeking data professionals to work with our colleagues at JLL around the globe to provide solutions, develop new products, and build enterprise reporting & analytics capability to reshape the business of Commercial Real Estate using the power of data.

We are seeking an experienced Software Engineering Leader to drive the technical execution of our new data platform vision and transform engineering culture within our data organization. This is a critical leadership role responsible for architecting and delivering foundational platform services while establishing engineering excellence standards that will scale across the organization.

• Design and deliver services architecture for enterprise‑scale data platform capabilities
• Lead development of common search & create functionalities and standardized CRUD operations
• Establish consumption patterns and data governance services that enable organization‑wide adoption
• Drive architectural decisions that balance immediate delivery needs with long‑term scalability requirements

• Elevate software engineering practices, standards, delivery velocity, and efficiency using AI across the data team
• Implement modern Dev Ops practices, AI tools adoption, code quality standards, and sustainable development processes
• Mentor senior engineers and establish cross‑functional collaboration patterns
• Build engineering practices that support platform reliability and organizational growth

• Translate business requirements into executable technical roadmaps with clear milestones
• Ensure timely delivery of critical platform components while maintaining engineering excellence
• Establish reusable services and patterns that accelerate future development initiatives
• Drive adoption of platform capabilities across multiple organizational teams

• 8+ years software engineering experience with 3+ years in leadership roles
• Strong programming background with expertise in Python, Java, Scala, or similar languages used in software applications
• Extensive experience with SDLC methodologies including Agile, Dev Ops, CI/CD pipelines, and release management
• Proven expertise in modern data platform architecture, microservices, and distributed systems
• Experience with search technologies, API development, data governance frameworks, and service deployment
• Track record of transforming engineering organizations and establishing technical excellence in data domains
• Experience leading cross‑functional teams and driving organizational change initiatives
• Knowledge of AI frameworks, cloud services, and readiness to adopt and adapt to new market capabilities
• Hands‑on experience with version control systems, automated testing frameworks, and production deployment strategies
• Hands‑on…