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About the Role

The Product Manager, Data & AI (Operations & Maintenance) will translate business priorities into durable data, analytics and AI products that deliver measurable operational, passenger and commercial outcomes. The portfolio spans airside and terminal operations, passenger processing and capacity, baggage, disruption response and recovery, safety, and facilities, asset and maintenance performance.

Responsibilities

Build and maintain multi-horizon data and AI product roadmaps across airside and terminal operations, passenger processing and capacity planning, baggage, airport operations control, disruption recovery, safety, facilities, asset management and maintenance.
Lead structured ideation, intake and prioritization, ensuring opportunities are sponsored, assessed and aligned with business strategy, annual planning and operational constraints.
Lead product discovery with business stakeholders and end users, including shift-based operations, control centre and maintenance teams, to validate problems, workflows, assumptions, risks and expected value.
Own product requirements and the Azure DevOps backlog at the Epic and Feature levels, ensuring work is ready for technical design and delivery.
Partner with delivery teams throughout implementation to resolve scope questions, assess trade-offs and validate outcomes against product requirements.
Ensure product decisions and documentation meet security, privacy, responsible AI, architecture, data governance, accessibility, safety and audit requirements.
Define adoption, product health and value measures such as throughput, wait times, on-time performance, asset availability, unplanned downtime and maintenance completion, and lead post-launch value reviews.
Advance Toronto Pearson's data-as-a-product framework, including ownership, consumers, service levels, documentation, quality expectations and lifecycle stages for products used in live operations.
Develop business cases, ROI and cost-benefit assessments, manage product budgets, and support partner-facing data and AI offerings.

Requirements

7+ years of progressive experience in product management, product ownership, business analysis, strategy, or adjacent digital and technology work.
4+ years of experience shaping and managing data, analytics, AI, platform or technically complex digital products, including products built on operational, asset or maintenance data.
Experience in an airport, airline, transportation, infrastructure, utilities or another asset-intensive 24/7 operational or regulated environment is considered an asset.
Demonstrated success developing multi-horizon roadmaps, business cases, product requirements and prioritized backlogs that delivered measurable outcomes.
Experience partnering with agile delivery teams and managing products through governance, testing, release, support transition and benefits realization.
Technical fluency in data engineering, lakehouse and medallion patterns, data modelling, business intelligence, analytics, machine learning, generative AI, APIs, MLOps and data quality, including real-time event streaming, sensor, time-series and operational telemetry data.
Advanced Azure DevOps capability, including backlog health, dependency visibility, readiness, traceability and product documentation.
Exceptional judgment, facilitation, negotiation, storytelling and cross-functional leadership, with the ability to communicate complex decisions to technical and non-technical audiences.
Ability to obtain and retain Transportation Security Clearance at the designated level for the position.

Skills

Data & AI
Product Management
Product Ownership
Business Analysis
Strategy
Digital and Technology
Data Engineering
Lakehouse
Medallion Patterns
Data Modelling
Business Intelligence
Analytics
Machine Learning
Generative AI
APIs
MLOps
Data Quality
Real-time Event Streaming
Sensor Data
Time-series Data
Operational Telemetry Data
Azure DevOps
Agile Delivery

Location

Toronto Pearson

Work Type

Hybrid

Experience Level

7+ years of progressive experience in product management, product ownership, business analysis, strategy, or adjacent digital and technology work.
4+ years of experience shaping and managing data, analytics, AI, platform or technically complex digital products, including products built on operational, asset or maintenance data.

Education Level

Bachelor's degree in Business, Technology, Computer Science, Engineering, Information Systems or a related discipline.

Benefits

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.

About the Company

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.

Equal Opportunity

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