Ali Rezaei
Director, Ai & Big Data @CGI
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WORK HISTORY
Director, Ai & Big Data @CGI
Ottawa, ON, CA
Received the Business Impact Award from the CGI executive team– Influenced C-suite stakeholders to secure funding and sponsorship for enterprise AI initiatives– Spearheaded AI & Big Data strategy, expanding service offerings and driving business growth– Led and coached a team of data scientists and ML engineers, delivering 15+ enterprise AI/ML projects– Secured major contracts through compelling RFP responses, executive presentations, and POCs– Implemented Generative AI and LLM-based solutions (chatbots, automation), improving client engagement and operational efficiency. Scoped and priced AI/ML engagements, leading transition from sales to delivery– Optimized pipelines reducing costs by 22%– Drove digital transformation by migrating client legacy systems to cloud-native data platforms (AWS, Azure, Databricks), ensuring scalability, compliance, and modernization– Automated data pipelines and implemented real-time ingestion architectures, enabling faster decision-making and advanced AI/ML analysis– Defined and executed comprehensive Data & AI strategies including planning, budgeting, and governance frameworks for federal and non-federal clients– Defined and advanced enterprise AI roadmaps, piloting innovations in digital twins and IoT sensor applications– Leveraged AWS Glue Data Catalog and Collibra– Delivered predictive maintenance solutions for a Canadian transportation company, time-series analysis on IoT/sensor data– Optimized data pipelines reducing costs by 22%– Industrialized applied AI solutions for Governmental, Transportation, Health, and Banking sectors– Built and scaled teams, defined operating model, and talent development framework– Defined AI governance policies for federal clients, ensuring compliance with data privacy and ethical standards– Presented AI/Big Data strategy to executive leadership and influenced investment decisions– Managed budgets and optimized resource allocation to ensure profitability of AI/Big Data initiatives
EDUCATION
Sharif University of Technology
Master of Science (MSc), Transportation Eng., Advanced Statistics, Data Mining
Concordia University
Post-Doctoral Fellow, Predictive Behavior Analysis
The University of Sydney Business School
Occupational Trainee, Machine Learning, Advanced Statistics
Sharif University of Technology
Bachelor of Science (BSc), Civil Engineering
Cargair
Commercial Pilot License, General Aviation
Sharif University of Technology
Doctor of Philosophy (Ph.D.), Predictive Analysis/ Behavioral Modelling
ABOUT ALI REZAEI
Dynamic and results-driven Director of AI & Big Data with 20 years of international experience and alifelong passion for aviation, combining a PhD in Air Transportation Network Management, a Commercial Pilot License (ATPL), and hands-on roles in the air travel industry. Proven ability to deliver enterprise AI transformation, digital modernization, and advanced analytics across aviation, retail, transportation, real estate, health, and government sectors. Deep expertise in Generative AI, LLMs, predictive analytics, cloud-native architectures (AWS, Azure, Databricks), and sensor data analytics for predictive maintenance. Recognized for defining and operationalizing enterprise-wide data & AI strategies, including governance frameworks, budgeting, migration from legacy to cloud, and agentic AI solutions. Demonstrated experience piloting innovations in IoT sensor analytics and digital twins bridging AI expertise with deep aviation domain knowledge.Key Leadership Highlights:• Directed AI & Big Data services at CGI, leading cross-functional teams of 6+ data scientists and engineers on 15+ projects.• Unique combination of AI/Big Data leadership and aviation expertise — PhD in Air Transportation Network Management, ATPL, and industry experience at Iran Air, Voyage Encore, and AviaSent.• Designed and delivered Generative AI and LLM-based systems, automation solutions, and real-time ingestion frameworks, improving efficiency and creating new revenue streams.• Partnered with senior executives to define AI/data roadmaps, secure multimillion-dollar contracts, and operationalize strategies including governance, budgeting, and planning for federal and private clients.• Championed digital transformation initiatives, migrating legacy technologies to modern cloud platforms (AWS, Azure, Databricks) and modernizing ETL/data pipelines.• Defined and advanced enterprise AI roadmaps, piloting innovations in digital twins and IoT sensor applications.• Delivered predictive maintenance solutions with advanced time-series analytics on multi-sensor data (vibration, voltage, ultrasound, infrared, liquid levels) for transportation sector clients.• Applied product-thinking to data, identifying new use cases and scaling proofs-of-concept into enterprise products and services.• Supervised and mentored analysts and engineers, fostering team growth, knowledge transfer, and AI adoption across verticals.• Influenced executive stakeholders to secure funding, drive enterprise-wide AI adoption, and scale in-house AI capabilities.
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