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Added 17 mins ago
C
Analyste principal(e) en soutien applicatif – Actions
CGI
Montreal, QC
- Full-time
Nice to Have – C# cloud platforms (AWS, Azure, Google Cloud).
Added 46 mins ago
GI
Java Software Engineer
G-FORCE IT SERVICES INC
ON · Ontario, Canada
- Full-time
We’re looking for a skilled Java Developer to design, build, and maintain scalable, high-performance applications. You’ll work with a collaborative team of engineers, QA, and product owners…
Added 46 mins ago
Y
Forward Deployed Engineer(Angular, AWS, PostgreSQL, C#, GitHub Copilot experience)
Yochana
Canada
- Full-time
…skills and hands-on engineering expertise across Angular, C#, AWS, PostgreSQL, and AI-assisted software development tools such as GitHub…
Added 46 mins ago
AP
Senior Data Engineer
Alpine Peak Management
Toronto, ON
- Contract
The successful candidate will design, build and maintain data migration, integration and pipeline solutions, with a focus on Snowflake, AWS and modern data engineering practices.
Added 46 mins ago
TG
Senior Manager, AI and Data
TMX Group
Toronto, ON
- $165,000 to $175,000 CAD / year
- Full-time
Make build-versus-buy and platform-fit decisions across AWS and Snowflake services for data and AI workloads, balancing performance, cost, and maintainability.
Added 1 hour ago
TR
Privacy Operations Engineer
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
…classification tooling (e.g., OneTrust Data Discovery, BigID, Collibra, AWS Macie, Azure Purview, database crawlers) to automatically feed classifications and data flows into ROPA…
Added 1 hour ago
P
Platform Developer
Plusgrade
Montreal, QC · CAN - Montreal
- Full-time
Kubernetes (EKS) · Docker · AWS · Terraform · Terragrunt · ArgoCD · Helm · GitLab Cloud · Datadog · CloudWatch · Grafana · Splunk Cloud · Bash · Python · Linux Distro · Mac
Added 2 hours ago
Software Development Engineer, Region Flexibility Engineering
Amazon
Vancouver, BC
…automate repetitive tasks, improve fleet efficiency, and improve developer experience. You will solve complex yet fun challenges by looking at the big picture while diving into the details.…
Added 2 hours ago
SI
Cloud Engineer
Spait Infotech
Canada
- Full-time
Design, deploy, and maintain cloud infrastructure on AWS, Microsoft Azure, or Google Cloud Platform (GCP).
Added 2 hours ago
Staff Machine Learning Engineer
Twilio
ON
Experience building cloud-based services on AWS, GCP, or Azure, with high-volume data, streaming or real-time inference paths, and a range of data stores.
Added 2 hours ago
TG
Senior Manager, AI and Data
TMX Group
Toronto, ON
- $165,000 to $175,000 CAD / year
- Full-time
Make build-versus-buy and platform-fit decisions across AWS and Snowflake services for data and AI workloads, balancing performance, cost, and maintainability.
Added 2 hours ago
IG
Data Engineer
Insight Global
Toronto, ON
- $70 to $80 CAD / hour
- Contract
Proven experience migrating data/workloads from on-premises environments to AWS.
Added 2 hours ago
AI
Data & Analytics leader
Apptoza Inc.
Toronto, ON
- Contract
Experience defining enterprise solutions across Azure, AWS, GCP, Databricks, Snowflake, and other modern data platforms.
Added 2 hours ago
C
Consultant, Backend Developer
CIBC
Toronto, ON
- Full-time
…environment. 1+ years of experience in Cloud environments (Azure/AWS/GCP) and Containerization (OpenShift/Kubernetes). It is an asset if you have experience with banking application…
Added 2 hours ago
NP
Sr. Snowflake Data Engineer
Next Pathway
Toronto, ON
- Contract
Experience working with cloud platforms such as AWS, Azure, or Google Cloud.
Added 2 hours ago
H
Software Engineer – Platform Security & Modernization
HCLTech
Montreal, QC
- $85,000 to $90,000 CAD / year
- Full-time
Exposure to cloud platforms such as AWS, Azure, or GCP.
Added 3 hours ago
Senior Quality Assurance Analyst
Mariner
NS
Experience with cloud platforms such as AWS, Azure, or GCP.
Added 3 hours ago
Senior Quality Assurance Analyst
Mariner
Halifax, NS
Experience with cloud platforms such as AWS, Azure, or GCP.
Added 3 hours ago
BB
Engineer, Cloud Operations
Bed Bath & Beyond
Brampton, ON
- Full-time
Assist in deploying and maintaining cloud infrastructure across multiple platforms (e.g., AWS, Azure, GCP) to meet business needs.
Added 3 hours ago
RT
Machine Learning Specialist
Redlen Technologies Inc.
Victoria, BC
- $100,000 to $125,000 CAD / year
- Full-time
The Applied Machine Learning Developer develops machine learning, computer vision, and advanced analytical solutions for complex scientific, product-performance, reliability, sensor, and…
Added 3 hours ago
SI
Full Stack Developer
Spait Infotech
Canada
- Full-time
Understanding of Docker, AWS, Azure, or other cloud technologies is an advantage.
Added 3 hours ago
E
Application Monitoring Specialist
Experis
Mississauga, ON
- $55 to $65 CAD / hour
- Contract
Added 3 hours ago
BS
Assistant Director, IT Services
Burnaby School District - SD41
Burnaby, BC
- Contract
Network/security vendor certifications such as Cisco, Fortinet, Palo Alto, Microsoft Security, Azure, AWS, or similar are assets
Added 3 hours ago
M
Staff Software Engineer, AI
Maple
Toronto, ON
- Full-time
Added 3 hours ago
Junior Full stack Developer (Front End Focus)
Scotiabank
Toronto, ON
Experience and/or certifications with Google Cloud, AWS, Azure, or other cloud-based development stacks

TMX Group

Senior Manager, AI and Data

Toronto, ON, Canada

$165,000 to $175,000 CAD / year · Full-time

Apply About employer

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Job details

Pay: $165,000 to $175,000 CAD / year
Job type: Full-time
Apply by: Oct 31, 2026
Posting language: English
Posted: Oct 26, 2026

Original job description

Venture outside the ordinary - TMX Careers

The TMX group of companies includes leading global exchanges such as the Toronto Stock Exchange, Montreal Exchange, and numerous innovative organizations enhancing capital markets. United as a global team, we’re connecting cross-functionally, traversing industries and geographies, moving opportunity into action, advancing global economic growth, and propelling progress. Through a rich exchange of ideas, meaningful collaboration, and a nimble operating model, we're powering some of the nation's most critical systems, fueling capital formation and innovation, bringing increased opportunity to business visionaries, product ingenuity to consumers, and career exploration to our team.

Ready to be part of the action?

Key Responsibilities

Define and execute an integrated AI and data roadmap in partnership with business and technology leaders.
Build, coach, and retain a high-performing, diverse team spanning data engineering, and AI engineering; manage hiring, performance, and career development.
Communicate technical concepts, trade-offs, and results clearly to executives and non-technical stakeholders.
Manage delivery against budgets, timelines, and quality standards, and apply agile methods appropriately.

Lead the design and delivery of data and AI solutions, including NLP, forecasting and time series, anomaly detection, and generative AI, for use cases across market data, trading, risk, corporate functions, and operational domains.
Guide the responsible use of generative AI and LLM-based solutions, including RAG, agentic workflows, prompt and model evaluation, vector search, and guardrails.
Oversee the full AI/ML lifecycle: experimentation, training, evaluation, deployment, monitoring (including drift and performance), and retirement.
Establish MLOps practices such as model registries, feature management, reproducible pipelines, and automated validation and release.

Oversee data modelling, warehousing and lakehouse architecture, and streaming, ensuring the data layer is ready to serve both analytics and AI workloads.
Make build-versus-buy and platform-fit decisions across AWS and Snowflake services for data and AI workloads, balancing performance, cost, and maintainability.

Drive adoption of modern engineering practices across data and AI, including CI/CD, infrastructure as code, automated testing, code review, and observability.
Establish and uphold standards for model risk management, data quality, lineage, privacy, and responsible AI.
Promote transparency, explainability, and fairness in AI-driven decisions.
Partner with Information Security, Legal, Compliance, and Risk to ensure solutions meet regulatory, contractual, and internal policy requirements.
Work across business lines, enterprise architecture, and technology teams to align on platforms and standards.
Evaluate and manage technology vendors, cloud services, and partnerships.
Own production support for the AI and data applications, pipelines, and platform components the team delivers, including incident response, root cause analysis, and problem management.
Define and meet service levels (SLAs/SLOs) for availability, data freshness, latency, and model performance, and report on them to business partners.
Establish and run an operating model for support, including on-call rotations, escalation paths, runbooks, and handover between delivery and run teams.

Required Qualifications

Leadership and Experience

Degree in Computer Science, Software Engineering, Applied Mathematics, or a related quantitative field.
8+ years of experience in data, AI/ML, or software engineering, including 3+ years leading technical teams or managing managers.
Proven record of delivering both data products and AI/ML products into production at scale.
Strong stakeholder management, with the ability to influence senior leaders and translate business needs into technical solutions.
Strong communication skills, with the ability to translate AI and data work into business impact.

AI Expertise

Production experience delivering ML or AI solutions, including at least one of NLP, time series, or computer vision.
Hands-on or deep working knowledge of generative AI and LLM application patterns (RAG, agents, evaluation, guardrails) and a track record of taking at least one such solution to production.
Solid understanding of machine learning and statistics (supervised and unsupervised learning, deep learning, model evaluation).
Experience with MLOps practices, including model deployment, monitoring, and lifecycle management.
Familiarity with ML frameworks and tooling such as PyTorch, TensorFlow, scikit-learn, and MLflow.
Familiarity with model risk management and responsible AI frameworks.

Data Expertise

Advanced SQL and strong Python skills, with experience in performance tuning on large datasets.
Strong experience with Snowflake, including virtual warehouses, Snowpipe, Streams and Tasks, RBAC and masking policies, and cost management.
Hands-on experience with core AWS data and security services (S3, IAM, KMS, Glue, Lambda, Kinesis or MSK).
Experience with data architecture, data modelling, data warehousing and lakehouse patterns, and streaming technologies, including open table formats such as Apache Iceberg.
Experience with data tooling such as Spark, Kafka, Airflow, and dbt.
Familiarity with data governance, quality, lineage, and privacy frameworks.

Platform and Tooling (Shared)

Experience with cloud platforms (AWS, Azure, or GCP) and containerization/orchestration (Docker, Kubernetes).
Proficiency with CI/CD pipelines, Git-based workflows, and infrastructure as code (e.g., Terraform).
Familiarity with monitoring, logging, and alerting for production systems, including SLOs and incident response.

Qualities

Strategic thinking and business acumen
People leadership and talent development
Technical credibility and sound judgment
Accountability and results orientation
Collaboration and influence without authority
Integrity and commitment to responsible AI

Salary Range: $165,000 - $175,000/year CAD. Please note that the salary range included is a guideline only. The salary offered may vary based on factors, including, but not limited to, the successful candidate’s relevant knowledge, skills, and experience.

The recruiting efforts for this role are intended to fill a vacant position.

In the market for…

Excitement - Explore emerging technology and innovation, as well as ventures and digital finance that shape the future of global markets! Experience the movement of the market while grounded in the stability of close to 200 years of success.

Connection - With site hubs in some of the world’s most multicultural cities, we leverage our size and structure to create rich connections and belonging while experiencing powerful global impact through our work.

Impact - More than a platform, we use our talents to power mission-critical systems that drive global economic advancement, innovation, and growth. As well, our employee-led Team Impact spreads social good via our giving strategy.

Wellness - From empathetic leadership to a culture of flexibility and balance, we believe wellness at work creates the maximum yield and a stronger “we”. Plus, with a cloud-first and hybrid workstyle, as well as generous time-off and leaves, we support a life well lived!

Growth - From a growth mindset in our work, to expansion in our business, TMX is home to action-takers energized by the achievement of ambitious growth.

Ready to enrich your career with impactful work, leaders who truly care, and the flexibility and programs to help you thrive as part of #TeamTMX ? Apply now.

Please note that our company is not currently sponsoring work permit applications and the applicant must be authorized to work in the country where this position is located.

TMX is committed to creating and sustaining a collegial work environment in which all individuals are treated with dignity and respect and one which reflects the diversity of the community in which we operate. We provide accommodations for applicants and employees who require it.

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More about this job

Responsibilities

Define and execute an integrated AI and data roadmap while leading a high-performing team of data and AI engineers. Oversee the full AI/ML lifecycle, including design, deployment, and MLOps practices, to support critical business functions.

Requirements

Requires a degree in Computer Science, Software Engineering, or a related quantitative field with over 8 years of experience in data or AI engineering. Candidates must have proven leadership experience and deep technical expertise in generative AI, MLOps, and cloud data platforms like Snowflake and AWS.

Skills

AI strategy
Data engineering
Team leadership
Generative AI
LLM
MLOps
Python
SQL
Snowflake
AWS
Data architecture
Stakeholder management
Cloud platforms
CI/CD
Model risk management
Agile methodologies

Benefits

Flexible workstyle
Generous time-off
Leaves
Wellness programs

Visa sponsorship

Not detected in the job text

Keywords

AI
Data Engineering
Machine Learning
Generative AI
LLM
RAG
MLOps
Snowflake
AWS
Python
SQL
CI/CD
Terraform
Kubernetes
Docker
Apache Iceberg
Spark
Kafka
Airflow
dbt
Data Warehousing
Lakehouse
Model Risk Management
Agile
Cloud Computing
Infrastructure as Code
Data Governance
Streaming
Time Series
NLP

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