Manager, Performance Analytics & AI Development

About the role

JLL seeks a dynamic Manager, Performance Analytics & AI Development to drive performance excellence through data-driven insights and innovative technology solutions. This business critical role combines strategic KPI management, business intelligence expertise, and artificial intelligence tool development to enhance operational efficiency and decision-making across the organization. The successful candidate will bridge the gap between data analysis, performance measurement, and emerging AI capabilities to deliver measurable business value, while focusing on the general reliability of the overall organization.

Responsibilities

• Design and implement comprehensive KPI frameworks aligned with business objectives and strategic priorities
• Establish performance measurement standards across departments and service lines to ensure consistency and accountability
• Monitor and analyze key performance indicators, identifying trends, anomalies, and opportunities for improvement
• Partner with business leaders to set performance targets, track progress, and develop action plans to address underperformance
• Create executive-level performance dashboards and reports that provide clear, actionable insights
• Conduct regular performance review sessions with stakeholders, translating data findings into strategic recommendations
• Develop methodologies for benchmarking performance against industry standards and competitors
• Build and maintain robust BI infrastructure, including data warehouses, ETL processes, and reporting platforms
• Facilitate the design and development of interactive dashboards, visualizations, and self-service analytics tools that enable data-driven decision-making
• Perform complex data analysis to uncover patterns, correlations, and insights that drive business strategy
• Collaborate with cross-functional teams to understand reporting requirements and translate them into scalable BI solutions
• Ensure data quality, governance, and security across all BI platforms and reporting processes
• Optimize existing BI tools and workflows to improve efficiency, usability, and adoption rates
• Train and support business users in leveraging BI tools effectively to access and interpret data independently
• Identify opportunities to leverage artificial intelligence and machine learning to solve business challenges and automate processes
• Design, prototype, and implement AI-powered solutions that enhance operational efficiency and customer experience
• Collaborate with IT, data science teams, and external vendors to develop and deploy AI applications tailored to JLL's needs
• Evaluate emerging AI technologies and tools, recommending strategic investments that align with business priorities
• Build predictive models and intelligent automation workflows that improve forecasting accuracy and decision speed
• Establish best practices for responsible AI development, including ethics, bias mitigation, and transparency
• Monitor AI solution performance, iterating and refining models based on feedback and changing business requirements

Requirements

• 5+ years of progressive experience in Reliability or operations management, performance management, business intelligence, data analytics, or related roles
• 2+ years of hands-on experience with AI/ML tools, techniques, or development projects
• Strong analytical and problem-solving skills with ability to translate complex data into clear business insights
• Excellent communication and presentation abilities, capable of engaging technical and non-technical audiences

Qualifications

• Bachelor's degree in Data Science, Computer Science, Business Analytics, Statistics, Engineering, or related field preferred
• Advanced proficiency in BI platforms such as Power BI, Tableau, Qlik, or similar tools
• Experience in commercial real estate, property management, or professional services industry
• Strong SQL skills and experience working with relational databases (SQL Server, Oracle, PostgreSQL)
• Familiarity with programming languages such as Python, R, or similar for data analysis and AI development
• Experience with machine learning frameworks and libraries (scikit-learn, TensorFlow, PyTorch) and AI platforms
• Knowledge of data warehousing concepts, ETL processes, and data modeling best practices
• Understanding of cloud platforms (Azure, AWS, Google Cloud) and their AI/ML services
• Experience with API integration, automation tools, and workflow orchestration
• Project management skills with proven ability to manage multiple priorities and deliver results on deadline
• Strategic thinking combined with attention to detail and commitment to data accuracy
• Collaborative mindset with ability to work effectively across departments and influence without direct authority
• Curiosity and passion for emerging technologies, particularly in AI and automation
• Change management experience and ability to drive adoption of new tools and processes