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.

In this role, you will join one of Air Canada’s AI project teams building machine learning and optimization solutions for internal units in the Commercial, Operations or Corporate space. The project team primarily comprises of data scientists, data developers, operations research scientists, machine learning engineers, and delivery leads. As you join a project to deliver a deployable production-grade application to one of our business stakeholders, you will collaborate with business stakeholders and subject matter experts in software development. All projects are executed in agile mode, following 2-3 weeks sprints, with incremental releases leading to the final production release.
As an (IT) Product Manager, AI, you will play a pivotal role in the success of AI projects at Air Canada and own two-way communication channels. Firstly, you will work closely with business stakeholders to understand what the business problem to be solved is and what the business objectives to be realized are, and then articulate this understanding and thought process into business requirements and measurable success criteria, seek feedback and alignment with the business stakeholders, and finally break these business requirements into technical specifications, artifacts, tasks, and work packages to be implemented by different technical teams and identify the dependencies between different workstreams. Secondly, as the technical teams progress on the implementation plan and generate incremental results every sprint, you will review and validate the results, provide constructive feedback, and translate and present these technical results to the business stakeholders in a business-oriented format which includes clear presentations, rich data visualizations, and dashboards.
The successful candidate for this role will be proficient in verbal and written communication, as well as have a very strong business acumen, able to engage with business stakeholders, shadow their work, and do a deep dive into their business processes to be able to proactively recommend requirements, features, and enhancements to mitigate pain points, increase efficiencies, improve customer experience, maximize revenue, or minimize costs. Ideally, the candidate has been played an active technical role delivering an AI project from ideation to production. Although there is no requirement to deliver code in this role, you are expected to be comfortable with hands-on data manipulation, querying, and analysis to be able to prepare relevant data visualization to be presented to business stakeholder, build dashboards to gain and demonstrate insights, and respond to business questions and investigations on the explainability of the output results from machine learning and optimization models.

QUALIFICATIONS

• Master’s degree, preferably in Engineering, Computer Science, Business Analytics, Statistic or Mathematics, or bachelor’s degree with relevant experience commensurate to the role.
• 5+ years experience in a product role or a technical role that assumed high interface with business stakeholders.
• Certifications in business analytics, such as CBAP (Certified Business Analysis Professional), data science, or artificial intelligence would be a plus.
• Proficient in hands-on data manipulation, querying, deep dive analysis, working with data from multiple sources to gain and deliver insights.
• Experience with data visualization tools such as Tableau or PowerBI, Plotly, etc.
• Proficiency in using query languages such as SQL, Python, etc.
• Knowledge of cloud computing platforms (Microsoft Azure, AWS, Google Cloud).
• Experience working in an Agile team environment.
• Ability to foster teamwork, and to effectively drive cross-team solutions that have complex dependencies and requirements.
• Experience leading and facilitating workshops with business stakeholders.
• Strong presentation skills, with the ability to explain complex analytical concepts to a non-technical audience.
• Ability to proactively identify risks and recommend potential mitigations or contingencies.
• Flexibility and resilience to work under tight deadlines and adjust to rapidly changing conditions.
• Ability to notice, interpret, and anticipate others’ concerns or reactions and communicate with them empathetically.
• Bias to action in search of business objectives with focus on meeting customer expectations.
• Self-motivated and highly independent.
• 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 seeking any required work permits/visas or other authorizations which may be required is the sole responsibility of the candidates applying for this position.

LINGUISTIC REQUIREMENTS

Based on equal qualifications, preference will be given to bilingual candidates.

• Articulate the technical requirements of the project and communicate them clearly to stakeholders.
• Define key features that can be delivered to achieve the business objectives envisioned by the business product owner.
• Partner with business teams to understand and document their business processes, then translate that into business requirements, features, enhancements, etc.
• Maintain the product backlog using functional decomposition to create a well-organized, value-driven framework.
• Partner with the business product owner to identify priorities, and use that to organize user stories, plan deliverables, milestones, and releases.
• Become the liaison between the development team and the business users and stakeholders, supporting development activities.
• Translate business requirements into technical user stories that the development team can implement, translate the questions of development team into business questions that the business can address, and integrate clarification and feedback from the business to enrich the business requirements and user stories.
• Define the requirements for wireframes and personas and user experience for application side.
• Define non-functional requirements, i.e., accessibility, adaptability availability, compliance tolerance, etc.
• Act as communication broker within the business community and therefore help the development teams find the right people to work with.
• Produce data visualizations and dashboards to communicate insights on the results from the AI models to business stakeholders.
• Capture and document business questions on the explainability of AI models, analyze data in detail, and prepare documentation to respond to these investigations in a clear format.
• Partner with the business product owner to identify acceptance criteria and acceptance tests.
• Partner with the business stakeholders to validate requirements, document acceptance criteria, and connect with testing groups during UAT to review and validate the setup of the testing strategy.
• Provide feedback on the incremental results generated by the development team every sprint.