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Manager, Advanced Analytics
Manager, Advanced AnalyticsGreater Toronto Airports Authority • Toronto, ON LPB, CAN
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Manager, Advanced Analytics

Manager, Advanced Analytics

Greater Toronto Airports Authority • Toronto, ON LPB, CAN
30+ days ago
Job type
  • Full-time
Job description

Toronto Pearson is transforming. Now’s the time for your career to fly.

The Greater Toronto Airports Authority (GTAA) is a unique and dynamic place to work, with a bold plan to make Toronto Pearson, Canada’s leading global hub airport, a global leader in airport performance, customer care and sustainability. Together with our partners, approximately 2,100 GTAA employees are working to create a next-generation airport by innovating in all we do and striving for the most uplifting, safe and efficient experience for our passengers – all while championing the prosperity of our people, the community we call home, and our aviation partners. Join us on our journey together, as we put the joy back into travel and make Toronto Pearson the chosen place to fly and work.

What's in it for you?

  • An opportunity to grow, develop, and thrive within a dynamic, and fast-growing company alongside thoughtful and passionate individuals dedicated to their work and community.
  • Comprehensive benefits, including a flexible retirement program with employer matching, along with voluntary savings options (RRSP, TFSA, and Non-Registered Savings Plans).
  • A flexible hybrid work environment, continuous internal and external learning opportunities, and a meaningful reward and recognition program.

What can you expect from this position?

Reporting to the Associate Director, Data Products & Emerging Technology, the Manager, Advanced Analytics leads the development and delivery of analytics and AI initiatives that transform Toronto Pearson’s operations, passenger experience, commercial performance, and long-term planning. This role exists to convert complex business challenges into data driven solutions—ranging from forecasting and optimization to machine learning and decision intelligence products.

You will mentor a high performing team of data scientists and analysts, drive adoption of modern Machine Learning Operations (MLOps) and responsible AI practices and shape the long-term data product roadmap that enables Toronto Pearson to become a truly data driven organization.

As Manager, Advanced Analytics, you will:

  • Steward Toronto Pearson’s enterprise AI strategy to accelerate safe, value‑driven AI development and adoption.
  • Co‑lead development of 3–5‑year analytics and data product roadmaps aligned to business objectives.
  • Champion analytics engineering standards, experimentation frameworks, and best‑in‑class MLOps practices.
  • Oversee feature engineering, model evaluation, model tuning, and ongoing performance monitoring.
  • Advance responsible AI practices (explainability, fairness, privacy, ethical use) in alignment with enterprise governance.
  • Lead identification, scoping, and delivery of high‑value AI and analytics use cases across capacity planning, operations, passenger experience, revenue, and asset performance.
  • Direct development and deployment of machine learning models, forecasting tools, optimization frameworks, and decision‑support algorithms.
  • Integrate models into enterprise gold‑layer analytics assets (semantic models, features, APIs, metrics).
  • Define and track success metrics for each analytics product or use case.
  • Build, coach, and develop a high‑performing team of data scientists, analysts, and technical contributors.
  • Support data literacy initiatives and enterprise Data & AI Governance.

This is the role for you, if you have:

  • 10+ years of progressive experience in data science, analytics, machine learning, and/or AI development, including business value creation.
  • 5+ years leading data analytics teams.
  • Demonstrated experience through all stages of the analytics lifecycle
  • Proven MLOps experience, including feature stores, versioning, monitoring, drift detection, and retraining.
  • Strong record of statistical rigor, experiment design, and analytical storytelling.
  • Bachelor’s degree in Data Science/Analytics, Computer Science, Engineering, Mathematics/Statistics, Information Systems, or Business Administration.
  • Ability to obtain and retain Transportation Security Clearance at the designated level for the position.

The GTAA is committed to Employment Equity and maintaining a diverse, equitable and inclusive workplace where everyone can thrive.

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Manager, Advanced Analytics • Toronto, ON LPB, CAN

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