Hamza Iqbal
Growth Fellow @ Stan
About
I’m a Program Manager who transforms data problems into business outcomes. With 3+ years of experience across enterprise risk, analytics, and product delivery, I specialize in designing data systems that help leaders make faster, smarter decisions. At Metrolinx, I lead programs within the Capital Projects Group, building and scaling data products that serve multi-billion-dollar infrastructure projects. My focus is on bridging business, data, and engineering teams — ensuring accuracy, adoption, and measurable ROI. Previously at Interac, I worked on delivery frameworks that accelerated product rollouts and aligned teams across compliance and data functions. I thrive at the intersection of technology and impact, turning raw data pipelines into tools executives actually use. Currently exploring how AI and automation can reshape decision-making in public and financial sectors.
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Canada
Computer Software
AI Strategy, Machine Learning, Cloud Computing, Artificial Intelligence (AI), Lean Six Sigma, Tableau, Microsoft Power BI, Scrum, Program Management, Product Operations, IT Business Analysis, Project Management, Agile Methodologies, Data Modeling, Data Visualization, Microsoft Azure, Automotive, Leadership, Engineering, Camp
Experience

Business Intelligence Analyst
Toronto, ON
Driving enterprise-level performance intelligence through advanced data modelling, automated reporting, and AI-enabled analytics to support strategic decision-making across the Presto Payments ecosystem. Key Achievements: • Engineered reporting pipelines integrating 12+ datasets, giving leadership real-time KPI visibility and cutting manual reporting effort by ~35%. • Led advanced analytics on millions of fare, ridership, and revenue records, uncovering patterns that informed decisions across 8+ business units and improving issue detection by ~20% through early-warning indicators. • Built KPI frameworks and benchmark models aligned with corporate strategy, improving reporting accuracy by ~25% and ensuring all metrics were scalable and AI-ready for future automation.

Data Performance Advisor
Greater Toronto Area, Canada
Delivering enterprise-wide performance intelligence and AI-aligned analytics for transit operations across 8 major corridors, enabling real-time visibility, predictive insights, and data-driven decision-making at the executive level. • Delivered enterprise performance reporting across 8 major transit corridors, developing KPI models and automated dashboards that improved reporting turnaround by ~30% and enabled real-time monitoring for leadership. • Built and maintained Power BI semantic models integrating 10+ data sources (SAP, operational systems, external datasets), creating a unified analytics layer that supported $2 million in annual strategic and financial decisions. • Applied advanced analytics techniques—segmentation, clustering, trend modelling—to surface performance patterns and risk signals, identifying 15–20% improvement opportunities in service reliability and cost efficiency.

Product Delivery Manager
Toronto, ON
• Managed financial and operational performance reporting for an AI-powered fraud analytics program, delivering executive dashboards that monitored model accuracy, loss mitigation impact, and network-wide KPIs—reducing manual tracking by ~30%. • Led measurement reporting for major transformation initiatives, partnering with Finance and Risk to quantify program benefits and track progress against business cases—improving visibility into strategic outcomes by ~25%. • Analyzed millions of fraud, transaction, and operational records using Excel, SQL, and BI tools, generating insights and recommendations that supported enterprise fraud strategy and technology investment decisions.
Hamza Iqbal's Contact Information
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