Jobs at JLL

Designs enterprise-scale data processing frameworks and Azure-based data solutions, develops AI-powered automation, leads complex technical initiatives, mentors engineers, and influences data engineering strategy. The role requires advanced Python, Azure data services, data warehousing, distributed computing, and architecture expertise, along with stakeholder collaboration and technical leadership.

Own the roadmap for Occupancy Planning and Management and Sustainability products. Govern third-party platforms, manage vendor roadmaps, define integrations, and develop AI-powered workflow capabilities. Lead discovery with clients and business teams, write technical requirements, build AI prototypes, define KPIs, and align data, engineering, product, and stakeholder teams. The role requires enterprise B2B SaaS product management, technical fluency in APIs and cloud data platforms, vendor governance, and hands-on AI product development.

Coordinates commercial real estate brokerage operations from listing launch through transaction closing. Manages workflows, deadlines, documentation, compliance, Salesforce data, invoicing, client reporting, marketing materials, and process improvements. Partners with senior brokers, accounting, and clients to ensure accurate, timely, and high-quality deliverables. The role also supports technology, AI, and automation initiatives to improve operational efficiency and client experience.

The Payroll Supervisor leads accurate, compliant payroll processing across all Canadian provinces and territories, including Quebec-specific requirements. Responsibilities include government filings, audits, payroll system configuration and improvements, complex inquiry resolution, executive payroll analytics, and collaboration with HR, Finance, and IT. The role also mentors payroll staff, delivers training, manages escalations, and supports compensation and workforce planning. It is hybrid, requiring three office days weekly, and is based in Mississauga, Montreal, or Toronto.

Manages business operations for an AI analytics product organization, including financial planning, budgeting, vendor and invoice management, resource allocation, recruitment tracking, BI dashboards, KPI reporting, stakeholder communications, and process automation. Builds governance systems, supports workforce planning, maintains operational documentation, and designs AI-enabled workflows to improve efficiency and decision-making across product, engineering, and business teams.