Director, Data Engineering

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Job Profile:  Director Data Engineering, Platform
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 technology 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
About the role
The Director of Data Engineering, Platform is a key technical leadership role responsible for building, leading, and mentoring the team that designs, builds, and operates JLL's core enterprise data platform. This leader will own the technical strategy and execution for our foundational data infrastructure, including data ingestion, streaming pipelines, data lake/warehouse, and data processing frameworks.
This position is critical to JLL's Data and AI strategy, providing the scalable, reliable, and secure data backbone required to power advanced analytics, AI/ML innovation, and data-driven products across the enterprise. The Director will ensure the platform is built for self-service, enabling capabilities for the Business, Data Science, Analytics, and Application Engineering teams to leverage data with speed and confidence.
This role requires a proven engineering leader with deep technical expertise in modern data architecture, a passion for building high-performing teams, and the ability to partner effectively with stakeholders across the organization to deliver enterprise-scale data solutions.

Key responsibilities
1. Team Leadership & Platform Development
Build, lead, mentor, and inspire a high-performing, globally distributed data platform team.

Define and execute the technical strategy and roadmap for the enterprise data platform, overseeing the end-to-end development lifecycle from architecture to deployment and operations.

Manage hiring, performance, career development, and resource allocation to ensure the team delivers its commitments with excellence.

Champion agile methodologies, a Dev Ops mindset, and a culture of operational excellence, defining and monitoring SLOs for all platform services.

2. Data Governance, Quality & MDM Enablement
Partner with the central Data Governance  team  to implement technical solutions that enforce data policies, standards, and compliance requirements across the platform.

Build platform capabilities for data lineage, metadata management, and data quality monitoring to empower data stewards and ensure data is trusted and well-understood.

Architect and implement robust data security controls, including role-based access (RBAC), encryption, and data masking frameworks to protect sensitive information.

3. Analytics & Insight Enablement
Develop the scalable, foundational data services and self-service tools that empower Data Science and Analytics teams to work efficiently.

Build a performant and reliable platform capable of supporting the entire analytics lifecycle, from historical reporting to predictive modeling and automated decisioning.

Engineer performant and reliable data pipelines that provide clean, structured, and well-documented datasets for consumption by downstream analytics and product teams.

4.Cross-Functional Collaboration
Partner closely with key stakeholders in Data Science, Analytics, Product Management, and Application Engineering to understand their needs and ensure the data platform meets their requirements.

Collaborate with Product and Application teams to provide the data APIs and services needed to embed data insights into digital platform experiences.

Act as a key technical advisor and evangelist for the data platform, driving adoption and ensuring its capabilities are well understood across the organization.

Ensure alignment of platform investments and roadmaps with…