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. The Data & AI Analyst (Governance, Integration) is responsible for the technical enablement, integration, and operational support of Air Canada's enterprise data governance platform. Working closely with Data Governance, Data Engineering, Architecture, Security, and business teams, the role supports user onboarding, source system integration, metadata ingestion, and the delivery of trusted metadata and lineage across the enterprise. The incumbent will help implement and support platform capabilities that enable governance, compliance, analytics, and AI initiatives.

Responsibilities:
• Implement and support integrations between the data governance platform and enterprise systems.
• Configure, maintain & document metadata ingestion, lineage, workflows, and platform capabilities.
• Develop API-based and custom integrations to support metadata management and automation.
• Define and maintain metadata mappings, ingestion standards, and integration documentation.
• Support onboarding, training, and adoption across business and technical teams.
• Troubleshoot integration, lineage, and metadata quality issues.
• Collaborate with stakeholders to improve metadata coverage, governance processes, and platform usage.
• University degree in Computer Science, Information Systems, Engineering, or a related field.
• 3-5+ years of experience designing, implementing, and supporting enterprise data and metadata integrations.
• Experience with enterprise data governance, metadata management, or data catalog platforms (e.g., Microsoft Purview, Atlan, Collibra, Databricks Unity Catalog, Alation, or similar solutions).




• Experience configuring and supporting metadata connectors and ingestion pipelines.
• Experience designing and implementing API-based integrations and metadata ingestion workflows.
• Experience developing custom integrations using technologies such as Python, Java, or REST APIs.
• Solid understanding of metadata management, data lineage, and data modelling concepts.
• Ability to define and maintain metadata mappings, ingestion standards, and governance requirements.
• Experience troubleshooting integration, connector, and metadata quality issues.
• Understanding of modern data and analytics platforms such as Snowflake, Dataiku, and Power BI, and how they integrate with data governance platforms and processes, is an asset.
• Strong documentation, communication, and stakeholder management skills.
• 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 prospect 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.

📌 Data and AI Analyst (Dorval)
🏢 Air Canada
📍 Dorval