Director – Real Estate Management Services Data & Intelligence

Jones Lang LaSalle, Inc.; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Jones Lang LaSalle (JLL) invites applications for a Director of REMS Data & Intelligence in London. Lead data stewardship, integration and analytics across REMS, partnering with leaders, researchers and technology teams to turn datasets into trusted insights.

You will oversee data validation, governance, and AI-enabled workflows, ensuring platforms deliver value to clients and internal stakeholders. Reports to Global Director for Capital Markets & REMS Data & Intelligence.

Qualifications

• Real estate data experience required (e.g., facilities/property management, occupancy planning, portfolio, or development data)
• Demonstrated track record of impact and creativity — evidence of driving tangible results matters more than a specific credential
• Strong data analysis background with complex, multi-source datasets
• Experience with data discovery, cataloguing, and stewardship
• Skilled at identifying and resolving overlapping, duplicate, or conflicting data across sources and definitions
• Experience building data validation and enrichment workflows to ensure high-quality data from source systems
• Proficiency in Python, R, or SQL, and generative and agentic AI tooling — including building AI agents or workflows that automate data tasks
• Understanding of data integration, ETL, and database management
• Familiarity with AI/ML concepts and their business application
• Strong collaborator, able to understand what data and intelligence other researchers and analysts need, and deliver it in a usable form
• Skilled at managing a wide range of stakeholders — across business, research, and technology functions — with differing priorities
• Self-starter, comfortable working both strategically and tactically in a fast-paced environment
• Bachelor's degree in Data Science, Computer Science, Real Estate, or a related field
• Minimum of 6 years in a data or platform role

Responsibilities

• Data discovery and prioritization with REMS teams to identify key datasets.
• Data stewardship: maintain dataset inventory and governance.
• Data alignment and deduplication across sources to produce a single trusted version.
• Data validation and enrichment workflows to ensure high-quality data.
• Market insights: monitor how peers use similar data to inform our approach.
• Cross-functional partnering to source data and drive adoption across teams.
• AI-augmented insights: apply data science and AI to strengthen decision-making.
• Enabling storytelling: deliver underlying data for researchers' narratives.

Skills

Real estate data

Data analysis

Python/SQL

AI tooling

Data governance

ETL

Data integration

Stakeholder mgmt

Cross-functional

Strategic thinking

Education

Bachelor's degree

Tools

Python

SQL

Job description

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 peopleand empowering them tothrive, 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.

Director – Real Estate Management Services (REMS) Data & Intelligence

Research Innovation is one of JLL Research's platform teams, built to turn our data, machine learning, AI, and insights capabilities into a competitive advantage.

This role is responsible for working with the REMS business, REMS Research leaders, and REMS technology teams to prioritize, source, and make actionable the data that generates the greatest opportunity for insight — including facilities and property management data, occupancy planning data, portfolio data, and development cost and trend data, drawn from one of the world's largest real estate occupier services companies. From there, the role works across the full Research organization — property sector and industry teams, other business line teams, and local market teams — to ensure that data gets used and folded into insights broadly, not just within REMS.

The Research Innovation Team is looking for a Director with real estate data experience to help us turn that untapped opportunity into usable, trusted tools. This role focuses on data stewardship, integration, and analysis — ensuring the tools and platforms we build for Research stay aligned with what teams and clients actually need. Reports to the Global Director for Capital Markets & REMS Data & Intelligence.

Key Responsibilities

• Data discovery & prioritization: Work with the REMS business, REMS Research leaders, and REMS technology teams to identify and evaluate major datasets; prioritize what to source and integrate first based on insight potential
• Data stewardship: Act as data custodian — maintain a dataset inventory, know where data lives, and ensure proper governance
• Alignment & deduplication: Reconcile overlapping or conflicting data across sources — for example, where two teams hold similar data under different definitions, or where survey instruments and operational data tell overlapping stories — so Research works from a single, trusted version
• Data validation & enrichment: Build workflows that validate and enrich data coming from source systems, so Research experts can trust they're working with the highest-quality data available
• Market insights: Track how other firms are using comparable data to inform our approach
• Cross-functional partnership: Manage a range of stakeholders — REMS Research leadership, REMS business leaders, and REMS data and technology teams — to source and make data actionable, then work across property sector, industry, business line, and local market teams to ensure it's adopted and used research-wide
• Tooling & product alignment: Partner with Research Innovation and technology teams to ensure platforms and tools reflect Research's priorities and real-world data needs — not building wholesale products, but keeping them aligned to what the data and business require
• AI-augmented insights: Spot opportunities to apply data science and machine learning to strengthen research and decision-making, including building agentic AI tools that automate data workflows and surface insights faster
• Enabling storytelling: Partner closely with the researchers and analysts building stories from the data, making sure they get the underlying data and intelligence in the form and detail they need — rather than telling those stories directly

Skills and Qualifications

• Real estate data experience required (e.g., facilities/property management, occupancy planning, portfolio, or development data)
• Demonstrated track record of impact and creativity — evidence of driving tangible results matters more than a specific credential
• Strong data analysis background with complex, multi-source datasets
• Experience with data discovery, cataloguing, and stewardship
• Skilled at identifying and resolving overlapping, duplicate, or conflicting data across sources and definitions
• Experience building data validation and enrichment workflows to ensure high-quality data from source systems
• Proficiency in Python, R, or SQL, and generative and agentic AI tooling — including building AI agents or workflows that automate data tasks
• Understanding of data integration, ETL, and database management
• Familiarity with AI/ML concepts and their business application
• Strong collaborator, able to understand what data and intelligence other researchers and analysts need, and deliver it in a usable form
• Skilled at managing a wide range of stakeholders — across business, research, and technology functions — with differing priorities
• Self-starter, comfortable working both strategically and tactically in a fast-paced environment
• Bachelor's degree in Data Science, Computer Science, Real Estate, or a related field
• Minimum of 6 years in a data or platform role

Location:

On-site –London, GBR

Job Tags:

At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you'repursuing.

JLL Privacy Notice

Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.

For more information about how JLL processes your personal data, please view our Candidate Privacy Statement.

For additional details please see our career site pages for each country.

Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process – you may email us at [e-mail]. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page I want to work for JLL.