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Added 1 min ago
IF
Senior Advisor, Integrated Marketing and Cross-Functional Campaigns
iA Financial Group
Montreal, QC · Quebec, QC
- Full-time
Added 1 min ago
D
Tech lead
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Montreal, QC
- Full-time
Added 1 min ago
A
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Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON · Montreal, QC
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Define integration strategies across CRM, workforce management, analytics, and enterprise backend systems
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- Full-time
Analytical Mindset: You are comfortable with Splunk, Google Analytics, Looker, or similar tools and can design a measurement framework from scratch.
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AG
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- Full-time
…combine strong retailer relationships with category insights, analytics and disciplined execution to turn opportunities into measurable…
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UO
Research Assistant
University of Ottawa
Ottawa, ON · Social Sciences Building
- Part-time
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UO
Tenure-Track Position in Learning, Assessment, and Educational Innovation (anglophone programs)
University of Ottawa
Ottawa, ON · Lamoureux Hall
- Full-time
…curriculum and learning design; assessment and measurement; learning analytics; educational interventions; discipline-specific learning and pedagogy; engagement; and the design,…
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UO
Tenure-Track Position in Digital Transformation, Artificial Intelligence, and Education (anglophone programs)
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- Full-time
…literacies; AI and wellbeing; educational data and learning analytics; computational and digital research methodologies; socio-technical systems; learning design and assessment in…
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Manager, Business Systems Analysis, TD Securities
TD
Toronto, ON
- Full-time
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Business Intern, Canada Gas Operations
TC Energy
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- Full-time
…Operations, with exposure to fleet and capital tools programs, data analytics, business communications, technology solutions and continuous improvement…
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Associate Director, HEOR, Canada
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- Full-time
Strong knowledge of HEOR methodologies, evidence-based medicine, patient-reported outcomes, and data analytics
Added 16 mins ago
CI
Senior Azure Cloud Platform Engineer -- KUMDC6125986
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Toronto, ON
- Contract
…designing, deploying, and supporting enterprise-grade Azure data and analytics platforms, including Power BI. The Platform Engineering team is looking for a senior engineer to support and…
Added 16 mins ago
VS
Report Developer
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Toronto, ON
- Contract
We are seeking a Data Engineer / Software Developer to support the design, development, and operation of enterprise data solutions on the Ontario Data Platform. The successful candidate…
Added 16 mins ago
CI
Senior Azure Cloud Platform Engineer -- KUMDC6125986
Compunnel Inc.
Toronto, ON
- Contract
…designing, deploying, and supporting enterprise-grade Azure data and analytics platforms, including Power BI. The Platform Engineering team is looking for a senior engineer to support and…
Added 16 mins ago
SI
Salesforce Marketing Cloud- SFMC, BA
Smart IT Frame LLC
Mississauga, ON
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NB
Analyst
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Montreal, QC
- Full-time
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Salesforce Marketing Cloud(SFMC) Business Analyst /Solution Consultant
Galent
Mississauga, ON
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Added 16 mins ago
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Software Developer
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- $60,000 to $70,000 CAD / year
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Added 16 mins ago
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Cybersecurity advisor - Data protection DLP
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Montreal, QC
- Full-time
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Brand Reputation Manager / Gestionnaire de la réputation de marque
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Added 16 mins ago
CC
Senior Analytics Engineer
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Vancouver, BC
- $170,000 to $195,000 CAD / year
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An Experienced Analytics Engineer: You have 5+ years in data or analytics engineering, with deep hands-on experience in cloud data platforms (e.g., Snowflake, BigQuery, Databricks).
Added 16 mins ago
AB
Director, Information Technology
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Calgary, AB
- Full-time
Strong background in reporting, analytics, automation, and systems integration.
Added 16 mins ago
TC
Finance Manager
The Crump Group, Inc.
Mississauga, ON
- $100,000 to $120,000 CAD / year
- Full-time
Added 16 mins ago
TC
Operational Excellence Manager
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Peterborough, ON · Canada - ON - Peterborough
- Full-time
…Excellence (OPEX) framework, leveraging digital tools, process analytics, and automation to enhance performance across supply chain and…

Air Canada

Manager, Data and AI - AI Systems Integrations and Agentic technical owner

Toronto, ON, Canada
Dorval, QC, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 19, 2026
Experience: 7+ years of progressive technology experience, including 3+ years leading technical teams in a large, complex enterprise.
Posting language: English
Posted: Nov 5, 2026

Original job description

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 Manager, Data & AI leads the technical integration, deployment and production-readiness capabilities required to operationalize AI products, models, agents and supporting data pipelines across Air Canada’s enterprise environments. The role ensures that AI solutions move from approved architecture and engineering designs into development, test and production in a secure, controlled, repeatable and increasingly automated manner. The Manager leads AI Systems Integrators and Deployment Specialists, establishes reusable integration and deployment patterns, and works across AI Engineering, Data Engineering, Platform Engineering, Architecture, Cybersecurity, Cloud Operations and DataOps to deliver supportable production outcomes. The role balances engineering velocity with enterprise governance, operational stability, traceability and risk-based controls.

This position may be located in Montreal or Toronto.

Responsibilities:

Lead the AI Systems Integration capability and manage the specialists responsible for moving AI solutions from approved designs into enterprise environments.
Ensure AI products, models, agents, APIs and supporting data pipelines are properly integrated with enterprise platforms and upstream and downstream systems.
Oversee deployment and configuration of AI workloads across development, test and production environments.
Drive approved infrastructure-as-code, CI/CD, MLOps and LLMOps patterns, including application and model promotion, versioning, rollback and environment management.
Establish reusable integration patterns, deployment components, templates and automation to reduce solution-specific engineering effort and accelerate adoption.
Partner with AI Product Managers, Data Scientists, AI Engineers, Solution and Enterprise Architects, Cybersecurity, Cloud Operations, Platform Engineering and DataOps to translate designs into production-ready implementations.
Establish and enforce production-readiness criteria, including monitoring, logging, alerting, runbooks, support documentation, operational ownership and recovery procedures.
Ensure integrations and deployments satisfy Architecture, Cybersecurity, Infrastructure, Data Governance, Privacy and operational requirements.
Implement risk-based controls for solutions involving sensitive data, AI models, autonomous agents or material business decisions, including appropriate human approval points.
Lead technical validation, go-live readiness, post-deployment verification and orderly transition to steady-state operational support.
Define and track measures for deployment success, integration quality, automation, reliability, rework and operational readiness.
Identify recurring integration and deployment issues and improve engineering practices, standards and reusable tooling upstream.
Manage demand, priorities, capacity, dependencies and delivery commitments for the AI Systems Integration function.
Lead, coach and develop a high-performing technical team, establish clear accountabilities and support career growth.
Provide leadership during complex or high-risk implementations and act as an escalation point for integration and deployment issues.
Manage relationships with external technology partners and vendors that complement internal delivery capabilities.
Maintain current knowledge of AI, cloud, integration, deployment and production-engineering practices and assess their applicability to Air Canada.

University degree in Computer Science, Engineering, Information Technology or a related discipline, and/or equivalent relevant professional experience.
7+ years of progressive technology experience, including 3+ years leading technical teams in a large, complex enterprise.
Demonstrated experience in systems integration, cloud engineering, platform engineering, DevOps, software delivery or production operations.
Strong understanding of CI/CD, Git-based source control, branching strategies, automated testing, infrastructure as code, deployment pipelines and environment promotion.
Working knowledge of modern Data and AI ecosystems, ideally including Azure, Snowflake, Databricks, Azure DevOps or GitHub, orchestration platforms and AI/ML deployment tooling.
Understanding of MLOps and LLMOps concepts, model and application deployment, versioning, observability and production lifecycle management.
Experience integrating APIs, data pipelines, cloud services, identity and access controls, enterprise applications and event-driven components.
Strong knowledge of enterprise Architecture, Cybersecurity, Change, Release and IT Service Management practices.
Demonstrated ability to balance governance, production risk and controls with delivery velocity and automation.
Proven people leadership, stakeholder management, communication, decision-making and problem-solving capabilities.
Demonstrate punctuality and dependability to support overall team success in a fast-paced environment.
Experience in aviation, transportation or another highly regulated, operationally critical industry is an asset.

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.

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More about this job

Responsibilities

The Manager leads the technical integration, deployment, and production-readiness of AI products, models, and agents across enterprise environments. They oversee a team of specialists to ensure AI solutions are securely and reliably integrated into production while balancing engineering velocity with governance.

Requirements

Candidates must have a university degree in a relevant technical discipline and at least 7 years of progressive technology experience. Proven expertise in systems integration, cloud engineering, and leading technical teams within a large, complex enterprise is required.

Skills

AI Systems Integration
MLOps
LLMOps
Cloud Engineering
Platform Engineering
CI/CD
Infrastructure as Code
Data Engineering
API Integration
Enterprise Architecture
Cybersecurity
Data Governance
Team Leadership
Stakeholder Management
Production Operations
Software Delivery

Visa sponsorship

Not detected in the job text

Keywords

AI
Data
Systems Integration
MLOps
LLMOps
Azure
Snowflake
Databricks
Azure DevOps
GitHub
CI/CD
Infrastructure as Code
API
DataOps
Cloud Operations
Enterprise Architecture
Cybersecurity
Production Readiness
Automation
Version Control
Observability
Identity and Access Management
IT Service Management
Aviation
Software Delivery
Platform Engineering
Deployment Pipelines
Risk Management
Technical Leadership
Data Governance

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