Specialist, Data & AI (Lead Data Analyst)

• Review the Data Requirement Document to ensure data requirements are clear and detailed. Understand and clarify both functional (FR) and non-functional (NFR) requirements (Data specific)
• Evaluate the data requirements for user stories and gather the necessary data points
• Review the Data Ingestion Specification to confirm that the source data meets all essential criteria
• Develop innovative and effective approaches to solve business problems through data analytics approaches and communicate results and methodologies
• Conduct preliminary data analysis and identify critical data gaps or risks whenever possible. Provide analysis result and clearly document risks, assumptions, etc
• Provide the appropriate data mapping for the ETL specifications (STTM) and a centralized data lineage document for all data assets
• Collaboratively co-own the development of data models by working in close partnership with the designated data modeler. Together, ensure that models align with data requirements and support intended analytical outcomes. Jointly provide and receive insights, constructive feedback, and clarification on requirements, data sources, data quality, business context, and any technical constraints—fostering a shared responsibility for delivering robust, actionable data solutions
• Perform a comprehensive evaluation, grant approvals for STTM documents and ensure data governance is implemented (data dictionary and PI identification)
• Advise on test case recommendations and provide final approval for development validation processes
• Initiate data analysis and identify strategic opportunities that creates a positive impact on business
• Provide guidance and instruction to the data analysts within the team regarding the current processes, frameworks, and AC standards
• Work closely with relevant stakeholders and product managers to collect and use information for improved business and operational performance
• Responsible for actively supporting the development and enhancement of processes, best practices of the data analysis community of practices
• Lead, coach, and mentor a team of internal Data Analysts, ensuring continuous skill development, high‑quality output, and alignment with Air Canada’s Data & Analytics vision
• Oversee workload distribution, prioritize team activities, and ensure analysts are equipped with the guidance, context, and support needed to deliver effectively
• Ensure Data Analysts from external vendors are properly onboarded, trained, and aligned with internal standards, principles, and data analysis methodologies
• Monitor and evaluate vendor analyst deliverables to ensure consistency, quality, and adherence to Air Canada’s processes and best practices

• 7+ years of data analytics experience in a large company
• Experience leading a technical team
• A relevant University degree/technical certification, and relevant experience commensurate to the role
• Experience on cloud solutions (AWS, Azzure…), data vault approach and Datawarehouse (Snowflake)
• Experience with the following technologies Databricks, Snowflake, ADF and Talend
• Proficiency in at least one modern programming language such as Python, SQL for querying databases
• Deep understanding of big data challenges and ecosystems
• Ability to work effectively under pressure and in rapidly changing environments or uncertain conditions
• Ability to act as a leader for a data analysts’ team, facing architects, data modelers, and the different IT and business stakeholders
• Ability and willingness to learn new tools and technologies
• Capable of solving complex problems by using a logical, systematic, and sequential approach
• Takes responsibility for the results and future direction of the organization
• Comfortable working both as part of a high-performing, diverse team and as an independent performer
• Able to approach a problem by using a logical, systematic, sequential approach
• Demonstrate punctuality and dependability to support overall team success in a fast-paced environment
• 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

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