Analyst - Data And Artificial Intelligence - Governance, Integration
AIR CANADA
Belonging to Air Canada is to belong to a Canadian symbol, 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.
The Analyst - Data and Artificial Intelligence (Governance, Integration) is responsible for the technical deployment, integration, and operational support of Air Canada's enterprise data governance platform. Working closely with the Data Governance, Data Engineering, Architecture, Security teams, and business units, the successful candidate supports user onboarding, source system integration, metadata ingestion, as well as the delivery of reliable metadata and traceability across the enterprise.
This person will contribute to the implementation and support of platform capabilities that enable governance, compliance, analytics, and AI initiatives.
Main responsibilities:
Implement and support integrations between the data governance platform and enterprise systems.
Configure, maintain, and document metadata ingestion, traceability, workflow, and platform capabilities.
Develop custom and API-driven integrations to facilitate metadata management and automation.
Define and maintain metadata mappings, ingestion standards, and integration documents.
Support onboarding, training, and adoption across business and technical teams.
Resolve integration, traceability, and metadata quality issues.
Collaborate with stakeholders to improve metadata coverage, governance processes, and platform utilization.
Qualifications
University degree in computer science, information systems, engineering, or a related discipline.
Three to five years of experience in the design, implementation, and support of enterprise data and metadata integrations.
Experience in enterprise data governance, metadata management, or data catalog platforms (e.G., Microsoft Purview, Atlan, Collibra, Databricks Unity Catalog, Alation, or similar solutions).
Experience in configuring and supporting metadata connectors and ingestion pipelines.
Experience in the design and implementation of API-driven integrations and metadata ingestion workflows.
Experience in developing custom integrations using technologies such as Python, Java, or REST APIs.
Strong understanding of metadata management, data lineage, and data modeling concepts.
Ability to define and maintain metadata mappings, ingestion standards, and governance requirements.
Experience in resolving 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, an asset.
Solid documentation, communication, and stakeholder management skills.
Proven punctuality and reliability to foster overall team success in a fast-paced environment.
Conditions of employment:Candidates must be eligible to work in the country concerned at the time an offer of employment is presented and are responsible for obtaining work permits, visas, or other necessary authorizations. Proof of eligibility must be provided before the start date.
Language RequirementsAll things being equal, preference will be given to bilingual candidates.
Diversity and inclusionAir Canada is strongly committed to diversity and inclusion and aims to create a healthy, accessible, and rewarding work environment that highlights the unique contribution of our employees to the success of our company.
As an equal opportunity employer, we encourage diverse applications so that we can build a workforce that is varied and representative of our customers and the communities where we live and offer our services.
Air Canada thanks all applicants for their interest, but only those selected for an interview will be contacted.
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The Analyst - Data and Artificial Intelligence (Governance, Integration) is responsible for the technical deployment, integration, and operational support of Air Canada's enterprise data governance platform. Working closely with the Data Governance, Data Engineering, Architecture, Security teams, and business units, the successful candidate supports user onboarding, source system integration, metadata ingestion, as well as the delivery of reliable metadata and traceability across the enterprise.
This person will contribute to the implementation and support of platform capabilities that enable governance, compliance, analytics, and AI initiatives.
Main responsibilities:
Implement and support integrations between the data governance platform and enterprise systems.
Configure, maintain, and document metadata ingestion, traceability, workflow, and platform capabilities.
Develop custom and API-driven integrations to facilitate metadata management and automation.
Define and maintain metadata mappings, ingestion standards, and integration documents.
Support onboarding, training, and adoption across business and technical teams.
Resolve integration, traceability, and metadata quality issues.
Collaborate with stakeholders to improve metadata coverage, governance processes, and platform utilization.
Qualifications
University degree in computer science, information systems, engineering, or a related discipline.
Three to five years of experience in the design, implementation, and support of enterprise data and metadata integrations.
Experience in enterprise data governance, metadata management, or data catalog platforms (e.G., Microsoft Purview, Atlan, Collibra, Databricks Unity Catalog, Alation, or similar solutions).
Experience in configuring and supporting metadata connectors and ingestion pipelines.
Experience in the design and implementation of API-driven integrations and metadata ingestion workflows.
Experience in developing custom integrations using technologies such as Python, Java, or REST APIs.
Strong understanding of metadata management, data lineage, and data modeling concepts.
Ability to define and maintain metadata mappings, ingestion standards, and governance requirements.
Experience in resolving 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, an asset.
Solid documentation, communication, and stakeholder management skills.
Proven punctuality and reliability to foster overall team success in a fast-paced environment.
Conditions of employment:Candidates must be eligible to work in the country concerned at the time an offer of employment is presented and are responsible for obtaining work permits, visas, or other necessary authorizations. Proof of eligibility must be provided before the start date.
Language RequirementsAll things being equal, preference will be given to bilingual candidates.
Diversity and inclusionAir Canada is strongly committed to diversity and inclusion and aims to create a healthy, accessible, and rewarding work environment that highlights the unique contribution of our employees to the success of our company.
As an equal opportunity employer, we encourage diverse applications so that we can build a workforce that is varied and representative of our customers and the communities where we live and offer our services.
Air Canada thanks all applicants for their interest, but only those selected for an interview will be contacted.
#J-18808-Ljbffr
Vacancy posted 2 hours ago
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