About The Position

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. Role Overview As Principal Product Manager for our Leasing Data Platform, you will own the strategy and execution of a mission-critical data product powering our Leasing business. This is a data platform leadership role, responsible for transforming raw leasing data into scalable, high-quality, AI-ready data assets that drive differentiated insights, automation, and measurable business outcomes. You will partner with engineering, product, data science, analytics, and business leadership to deliver a modern data platform that enables advanced analytics, machine learning, and workflow automation. The ideal candidate brings deep experience building enterprise data products and leveraging AI tools to accelerate product development and value creation.

Requirements

  • 9–12+ years of product management experience, including ownership of enterprise data platforms or data products
  • Proven track record of delivering scalable data products (e.g., data platforms, analytics products, APIs, ML-enabled systems) from strategy through production
  • Hands-on experience leveraging AI tools (e.g., generative AI copilots, experimentation tools, ML lifecycle tooling) to accelerate product discovery and delivery
  • Ability to define and measure success through data quality, adoption metrics, and business outcomes
  • This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship.

Responsibilities

  • Data Product Strategy & Ownership Define and execute the end-to-end product strategy for the Leasing Data Platform, including data ingestion, modeling, governance, APIs, and downstream consumption layers
  • Establish a clear product vision for transforming raw leasing data into scalable and AI-ready data assets
  • Drive alignment across business, engineering, product, analytics, and enterprise data teams
  • Data Platform & Architecture Leadership Partner with engineering to design modern data architecture (data lakes/warehouses, semantic layers, APIs, streaming pipelines, etc.)
  • Define standards for data quality, lineage, governance, metadata management, and platform scalability
  • Ensure interoperability with enterprise systems and external data providers
  • AI & Advanced Analytics Enablement Identify and prioritize opportunities to embed AI/ML capabilities into leasing workflows (e.g., predictive insights, automation, recommendation systems)
  • Leverage AI tools in the product development lifecycle (e.g., AI-assisted discovery, rapid prototyping, experimentation, backlog refinement, analytics generation)
  • Ensure platform readiness for generative AI and emerging enterprise AI use cases
  • Product Execution & Value Realization Maintain and prioritize a data product backlog aligned to measurable business outcomes
  • Translate complex data and AI concepts into clear business value narratives
  • Drive executive alignment on roadmap, investment tradeoffs, and prioritization

Benefits

  • Personalized benefits that support personal well-being and growth: JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health.
  • Some of these benefits may include:
  • 401(k) plan with matching company contributions
  • Comprehensive Medical, Dental & Vision Care
  • Paid parental leave at 100% of salary
  • Paid Time Off and Company Holidays
  • Early access to earned wages through Daily Pay
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