Being part of Air Canada is to become part of an iconic Canadian symbol, recently ranked the best Airline in North America. Let your career take flight by joining our diverse and vibrant team at the leading edge of passenger aviation.
As a Product Manager, AI, 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 competitive advantage and measurable business value.
You will collaborate closely with business leaders, data scientists, AI engineers, architects, UX specialists, governance teams, and delivery partners to shape product vision, define investment priorities, and guide products from ideation through deployment, adoption, and value realization.
Success in this role requires strong product thinking, business acumen, and a solid understanding of modern AI capabilities and development lifecycles. 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 differentiated products.
The successful candidate thinks beyond individual AI features and understands how AI capabilities, data assets, user workflows, and business processes must come together to create scalable products that deliver measurable business value and sustainable competitive advantage for Air Canada.
Responsibilities:
Product Strategy & Vision
- Define and maintain the vision, strategy, and roadmap for assigned AI products.
- Identify opportunities to leverage AI to improve customer experience, operational performance, revenue generation, and cost efficiency.
- Build and maintain business cases that demonstrate expected value, strategic alignment, and investment rationale for our AI products.
- Monitor industry trends, competitive offerings, and emerging AI capabilities to inform product direction and maintain Air Canada's competitive advantage.
- Define success metrics and value realization targets for AI products.
Product Lifecycle Management
- Own the end-to-end lifecycle of AI products from ideation through deployment, adoption, optimization, and retirement.
- Partner with business and technology teams to ensure product roadmaps balance short-term value delivery with long-term strategic objectives.
- Manage product trade-offs and investment decisions throughout the product lifecycle.
- Ensure delivered capabilities align with product objectives and expected business outcomes.
- Monitor product performance and continuously identify opportunities for enhancement and innovation.
Feature Definition & Prioritization
- Capture, refine, and prioritize product features, AI capabilities, and enhancement opportunities that support the product vision and business objectives.
- Partner 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 effort.
- Continuously reassess priorities based on business needs, user feedback, product performance, and evolving market opportunities.
- Provide ongoing business context, guidance, and clarification to delivery teams throughout the development lifecycle.
- Ensure features are sequenced appropriately to maximize value realization while supporting long-term product evolution.
AI Product Leadership
- Serve as the primary product lead for AI products.
- Develop 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, UX, and Governance teams to shape product direction and delivery plans.
- Ensure products are designed with scalability, operational sustainability, governance, risk management, privacy, and security considerations in mind.
Stakeholder Management & Value Realization
- Build strong relationships with business stakeholders and act as a trusted advisor on AI product opportunities.
- Lead product discovery workshops and business engagement sessions.
- Communicate product strategy, roadmaps, investment recommendations, and achieved outcomes to business and executive stakeholders.
- Drive product adoption and change management activities to maximize business value.
- Measure product success through adoption, business outcomes, operational impact, and customer value creation.
Qualifications
- Bachelor’s degree in a relevant field and 5+ years of experience in Product Management, Digital Products, AI Products, Data Products, or related technology roles.
- Experience defining product vision, strategy, roadmaps, and investment priorities.
- Experience delivering AI, machine learning, generative AI, analytics, or data-driven products.
- Experience building business cases and supporting investment decisions.
- Experience leading cross-functional teams and influencing 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 lifecycles from experimentation through deployment, monitoring, adoption, and continuous improvement.
- Ability to assess opportunities and prioritize investments based on business value, feasibility, scalability, risk, and strategic alignment.
- Knowledge of responsible AI, data governance, privacy, security, and risk management principles.
- Familiarity with cloud-based technology platforms and modern product development practices.
- Strong business acumen and strategic thinking capabilities.
- Excellent stakeholder management and relationship-building skills.
- Strong communication and presentation skills, including the ability to explain complex AI concepts to non-technical audiences.
- Demonstrated ability to navigate ambiguity and make informed prioritization decisions.
- Strong facilitation and workshop leadership capabilities.
- Ability to balance customer needs, business outcomes, technical constraints, and operational considerations when making product decisions.
- Demonstrate punctuality and dependability to support overall team success in a fast-paced environment.
Conditions of Employment:
Candidates must be eligible to work in the country of interest at the time any offer of employment is made and are responsible for obtaining any required work permits, visas, or other authorizations necessary for employment. Prior to their start date, candidates will also need to provide proof of their eligibility to work in the country of interest.
Linguistic Requirements
Based on equal qualifications, 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 work environment which highlights employees’ unique contributions to our company’s success.
As an equal opportunity employer, we welcome applications from all to help us build a diverse workforce which reflects the diversity of our customers, and communities, in which we live and serve.
Air Canada thanks all candidates for their interest; however only those selected to continue in the process will be contacted.