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Added 1 min ago
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Senior Demand Generation Manager
Trulioo
Remote, Canada
- Full-time
- Remote
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Principal Software Engineer, Docker Hardened Images
Docker
Remote, Canada
- Full-time
- Remote
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's…
Added 15 mins ago
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Business Analytics Specialist, Temporary
Aviso
Toronto, ON
- Temporary
Aviso welcomes and encourages applications from all qualified individuals including persons with disabilities. If you require an accommodation, we will work with you to meet your needs in…
Added 15 mins ago
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Investment Sales Analyst
CBRE
Toronto, ON
- Part-time
At CBRE, we are committed to fostering a culture where everyone feels they belong. We value diverse perspectives and experiences, and we welcome all applications.
Added 15 mins ago
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Analyste principal(e) en soutien applicatif – Actions
CGI
Montreal, QC
- Full-time
Proactively monitor the health and performance of Equity platform applications using dedicated monitoring tools.
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Class 1 Driver - Part-Time (Manual Transmission Required)
Armour Transportation Systems
Hanwell, NB
- Part-time
Armour Transportation Systems welcomes applications from Indigenous peoples, African Canadians and other racially visible persons, persons with disabilities, and women in occupations or…
Added 15 mins ago
AT
Apprentice Mechanic
Armour Transportation Systems
Moncton, NB
- Full-time
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our…
Added 15 mins ago
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Health Care Aide South West Edmonton
SE Health
AB · Edmonton, AB
- Part-time
AI Details: We use AI to take notes during our interview. All applications and interviews are reviewed by our Talent Acquisition team.
Added 15 mins ago
SH
LPN South West Edmonton
SE Health
AB · Edmonton, AB
- Temporary
AI Details: We use AI to take notes during our interview. All applications and interviews are reviewed by our Talent Acquisition team.
Added 15 mins ago
SH
LPN South West Edmonton
SE Health
AB · Edmonton, AB
- Temporary
AI Details: We use AI to take notes during our interview. All applications and interviews are reviewed by our Talent Acquisition team.
Added 15 mins ago
SH
Health Care Aide South West Edmonton
SE Health
AB · Edmonton, AB
- Part-time
AI Details: We use AI to take notes during our interview. All applications and interviews are reviewed by our Talent Acquisition team.
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Director, Finance and Procurement,
Canadian College of Health Leaders - Northwestern Ontario Chapter
Georgian Bay, ON
- Full-time
Added 15 mins ago
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Intermediate Mechanical Engineer
Tetra Tech
Thunder Bay, ON
- Full-time
We invite applications from all interested parties.
Added 15 mins ago
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Sales Account Executive - SAP Academy for Customer Success - Canada (Hybrid)
SAP
Vancouver, BC
- Full-time
…offer full-time employment from day one with practical learning applications for your role. Upon successful completion of the program, you will move into a direct customer-facing sales role…
Added 15 mins ago
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Personal Support Worker
SE Health
Campbellford, ON
- Part-time
We use AI to take notes during our interview. All applications and interviews are reviewed by our Talent Acquisition team. This role is a replacement position. The hiring pay range is…
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TT
Junior Electrical Engineer (EIT)
Tetra Tech
Vancouver, BC
- Full-time
We invite applications from all interested parties.
Added 15 mins ago
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Facilities Manager
CBRE
Vancouver, BC
- Full-time
At CBRE, we are committed to fostering a culture where everyone feels they belong. We value diverse perspectives and experiences, and we welcome all applications.
Added 15 mins ago
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Senior Manager, Analytics & Insights
SE Health
Markham, ON
- Full-time
Added 15 mins ago
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Solutions Architect
Philip Morris International
Toronto, ON
- Full-time
…technology solutions across multiple platforms, systems, and…
Added 15 mins ago
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Sampler Stock Control (Afternoon Shift)
Bimeda
Cambridge, ON
- Full-time
…ERP Software system), as well as occasional use of MS Office applications such as MS Word and MS Excel, as it pertains to necessary warehouse paperwork and…
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Merchandiser
Acosta
Abbotsford, BC
- Part-time
We’re excited to fill this role now! Applications are reviewed as they come in - don’t wait, apply today and join our team.
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People & Culture Advisor
Engaged
Remote, Canada
- $63,000 to $75,000 CAD / year
- Full-time
- Remote
Added 30 mins ago
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Registered Practical Nurse - Clinic
SE Health
Brampton, ON
- Full-time
We use AI to take notes during our interview. All applications and interviews are reviewed by our Talent Acquisition team. This role is a new addition. The hiring pay range is $28.00–$31.00…
Added 30 mins ago
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Shop Technician
Toyota Motor Corporation
Kamloops, BC · Toyota Canada Inc - Head Office
- Full-time
Added 45 mins ago
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Project Analyst Intern
TMX Group
Toronto, ON
- $20 to $23 CAD / hour
- Full-time
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 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.

Apply About employer

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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