Product Manager - Artificial Intelligence

Belonging to Air Canada is belonging to a Canadian icon, Air Canada recently voted best airline in North America. Take your career to new heights by joining our innovative and diverse team at the forefront of passenger air transport.

As a Product Manager - Artificial Intelligence, you will be responsible for the strategy, roadmap, prioritization, and lifecycle management of Air Canada's AI products. You will work at the intersection of business strategy, customer needs, data, and technology to identify opportunities where artificial intelligence can create a competitive advantage and measurable business value.

You will work closely with business unit leaders, data scientists, AI engineers, architects, user experience (UX) specialists, governance teams, and delivery partners to shape product vision, define investment priorities, and guide products from ideation to deployment, adoption, and value realization.

To succeed in this role, you must demonstrate strong product vision, sharp business acumen, and a good understanding of modern AI capabilities and development life cycles. While this is not a software development role, the successful candidate must understand how AI models, agents, copilots, data assets, user experiences, and operational workflows come together to create scalable and distinctive products.

The successful candidate looks beyond individual AI features and understands how AI capabilities, data assets, user workflows, and business processes must articulate to create scalable products that provide Air Canada with measurable business value and a sustainable competitive advantage.

Responsibilities:

Product Strategy and Vision

• Define and maintain the vision, strategy, and roadmap for assigned AI products.
• Identify opportunities to leverage AI to improve the customer experience, operational performance, revenue generation, and profitability.
• Develop and maintain business cases that demonstrate expected value, strategic alignment, and the justification for investments in our AI products.
• Monitor industry trends, competitor offerings, and emerging AI capabilities to guide product evolution and preserve Air Canada's competitive advantage.
• Define success metrics and value realization objectives for AI products.

Product Lifecycle Management

• Take ownership of the entire AI product lifecycle, from ideation to deployment, adoption, optimization, and retirement.
• Collaborate with business and technology teams to ensure product roadmaps balance short-term value creation with long-term strategic goals.
• Manage product trade-offs and investment decisions throughout the product lifecycle.
• Ensure delivered capabilities align with product goals and expected business outcomes.
• Monitor product performance and continuously identify opportunities for improvement and innovation.

Feature Definition and Prioritization

• Gather, refine, and prioritize product features, AI capabilities, and improvement opportunities that support product vision and business goals.
• Collaborate with business stakeholders, users, and delivery teams to translate strategic objectives into a clear, value-driven product backlog.
• Define feature objectives, expected outcomes, and success criteria.
• Evaluate and prioritize features based on customer value, business impact, strategic alignment, technical feasibility, scalability, risk, and required effort.
• Continuously re-evaluate priorities based on business needs, user feedback, product performance, and evolving market opportunities.
• Provide delivery teams with business context, guidance, and necessary clarifications throughout the development lifecycle.
• Ensure features are appropriately sequenced to maximize value realization while supporting long-term product evolution.

AI Product Leadership

• Act as the primary responsible party for AI products.
• Acquire a deep understanding of AI product development, including machine learning, generative AI, AI agents, copilots, and model lifecycle management.
• Understand how AI capabilities, data assets, workflows, and user experiences must be integrated to create effective and scalable products.
• Collaborate with Data Science, AI Engineering, Architecture, User Experience, and Governance teams to guide product evolution and delivery plans.
• Ensure products are designed taking into account scalability, operational viability, governance, risk management, data privacy, and security.

Stakeholder Management and Value Realization

• Build strong relationships with business stakeholders and act as a trusted advisor regarding AI product opportunities.
• Lead product discovery workshops and business unit engagement sessions.
• Communicate product strategy and roadmaps, investment recommendations, and results achieved to business stakeholders and senior management.
• Lead product adoption and change management activities to maximize business value.
• Measure product success based on adoption, business outcomes, operational impact, and customer value creation.

Qualifications

• Bachelor's degree in a relevant field and at least five years of experience in product management, digital products, AI products, data products, or related technology functions.
• Experience defining product vision, strategy, and roadmaps as well as investment priorities.
• Experience delivering AI, machine learning, generative AI, analytics, or data-driven products.
• Experience developing business cases and supporting investment decision-making.
• Experience leading cross-functional teams and the ability to influence stakeholders without direct authority.
• Experience working in Agile delivery environments.
• Strong understanding of modern AI technologies, including machine learning, generative AI, large language models, AI agents, copilots, and enterprise AI platforms.
• Understanding of AI product development life cycles, from experimentation to deployment, monitoring, adoption, and continuous improvement.
• Ability to evaluate opportunities and prioritize investments based on business value, feasibility, scalability, risk, and strategic alignment.
• Knowledge of responsible AI principles, data governance, privacy, security, and risk management.
• Knowledge of cloud technology platforms and modern product development practices.
• Sharp business acumen and strong strategic thinking skills.
• Excellent stakeholder management and relationship-building skills.
• Strong communication and presentation skills, including the ability to explain complex AI concepts to non-technical audiences.
• Proven ability to navigate ambiguity and make informed prioritization decisions.
• Strong facilitation and workshop leadership skills.
• Ability to balance customer needs, business outcomes, technical constraints, and operational considerations when making product decisions.
• Proven punctuality and reliability to drive overall team success in a fast-paced environment.

Employment Conditions:

Candidates must be eligible to work in the country concerned at the time an offer of employment is presented and are responsible for obtaining necessary work permits, visas, or other authorizations. Proof of eligibility must be provided before the start date.

Language Requirements

All things being equal, preference will be given to bilingual candidates.

Diversity and Inclusion

Air Canada is strongly committed to diversity and inclusion and aims to create a healthy, accessible, and rewarding workplace that highlights the unique contribution of our employees to our company's success.

As an equal opportunity employer, we encourage diverse applications so that we can have a workforce that is varied and representative of our customers and the communities where we live and serve.

Air Canada thanks all applicants for their interest, but only those selected for an interview will be contacted.