Job Description

ABOUT USBGIS is a leading provider of customized facility management and real estate services. With a combined team of over 10,000 professionals worldwide, we relentlessly focus on enabling innovation through the services we deliver. We actively seek new opportunities that drive innovation for our clients’ businesses. Globally, we manager over 320 million square feet of client portfolios across 30,000+ locations in North America, Europe, Middle East, Australia, and Asia. For further information, visit www.bgis.com . SUMMARYWe are seeking a Data Manager - AI, BI & Analytics Governance to join our dynamic and growing Applied Data Analytics (ADA) and Artificial Intelligence (AI) team. In this role, you will help build the data foundation for the ADA team and also implement data governance and data management best practices for our ADA Innovation Hub in Toronto. You will play an impactful and critical role in organizing the Critical Data Elements (CDEs) that are most important to running a real estate business and drive the integration, mastering and transforming of our unique internal datasets with external data to drive insights, inform strategic decisions, and optimize our operations. KEY DUTIES AND RESPONSIBILITIESData Governance, Data Pipelines and ETL ProcessesUtilize your educational background in a quantitative field, such as computer science, mathematics, or engineering, to design, build, and maintain data a foundation supporting AI and advanced analytics including data governance, data pipelines and ETL processes.Design, build, and maintain robust data pipelines and ETL processes to support CDEs and Master data sources, ensuring data quality, data accuracy and accessibility for analysis and modeling.Apply your passion for problem-solving to address complex data-related challenges and optimize data workflows.Communicate effectively across technical and business domains, collaborating with cross-functional teams to ensure the seamless integration of AI, analytic and data solutions.Leverage over five years of experience in data management or data engineering, preferably with teams focused on analytics including but not limited to business intelligence, machine learning, artificial intelligence, or data science.