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Added 14 mins ago
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Project Manager
Article
Vancouver, BC
- $92,000 to $107,000 CAD / year
- Full-time
You’ll be joining our dynamic PMO team, reporting directly to the Manager. We operate as consultative internal delivery partners across Article, embedding directly with project owners in…
Added 14 mins ago
R
Laboratory GxP Systems Specialist II
Replimune
Montreal, QC
- Full-time
Experience with viewLinc, Empower, SoftMax Pro GxP, PharmSpec, BlueMountain Regulatory Asset Manager, LIMS, QuantStudio Design and Analysis software, and / or JMP software.
Added 14 mins ago
Manager, Business Risk Management Data Visualization, International Banking - Toronto
Scotiabank
Toronto, ON
Bachelor’s degree in Computer Science, Software Engineering, Mathematics, Statistics, or a related field
Added 14 mins ago
GV
Chef de projet services/Service Project Manager
GE Vernova
La Prairie, QC
- Full-time
Ensure the availability of equipment and software required
Added 14 mins ago
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Staff Specialist, Regulatory Affairs (16 month contract)
BD
Mississauga, ON · CAN Mississauga - Derry Road West
- $85,000 to $135,000 CAD / year
- Full-time
The Staff Specialist of Regulatory Affairs reports directly to the Senior Manager of Regulatory Affairs. This position is responsible for supporting MMS Dispensing products consisting of…
Added 14 mins ago
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Engineer I
TD
Toronto, ON
- Full-time
Execute on Engineering strategy as it relates to the introduction of tools and the automation of build, test, release and configure activities across Application, Platform and Infrastructure
Added 30 mins ago
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Senior Demand Generation Manager
Trulioo
Remote, Canada
- Full-time
- Remote
Reporting to the Head of Marketing, the Senior Demand Generation Manager is responsible for owning net new pipeline for mid-market and enterprise accounts, with a real account-based motion…
Added 30 mins ago
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Principal Software Engineer, Docker Hardened Images
Docker
Remote, Canada
- Full-time
- Remote
Strong software engineering fundamentals: code review, testing, source control, CI/CD, and Go sufficient to shape infrastructure and harness design.
Added 44 mins ago
TP
Technology Delivery Manager
Toronto Pearson International Airport
Toronto, ON
- Full-time
Reporting to the Associate Director, Technology Delivery, the Technology Delivery Manager is responsible for leading the end‑to‑end technical delivery of digital solutions that enable…
Added 44 mins ago
A
Customer Success Manager
AppifyLab
Success, SK
- Full-time
Appifylab is looking for a proactive and customer-focused Customer Success Manager to build, manage, and grow relationships with both local and international clients. In this role, you will…
Added 44 mins ago
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Product Manager
Newforma
Montreal, QC
- Full-time
…the value of the product offered to the client. As a Product Manager, you will gather feature requests, plan releases, and coordinate the product’s roadmap. You are the owner for one or…
Added 44 mins ago
S
Staff Software Engineer, Payments Intelligence
Stripe
Toronto, ON
- Full-time
…Authentication, and merchant analytics. We’re a mix of machine engineering engineers and full-stack software engineers impacting ~every Stripe transaction, creating revenue opportunities…
Added 44 mins ago
GG
Electrical Engineer
Giampaolo Group Inc.
Brampton, ON
- Full-time
Works in coordination with Engineering Manager to prepare department budgets, and or contracts for capital expenditures or services
Added 44 mins ago
CA
Senior Estimator
Cementation Americas
North Bay, ON
- Full-time
Cementation is a leading underground mine contracting and engineering company-we design and build mines, safely. Our team specializes in delivering design-build solutions for technically…
Added 44 mins ago
MC
EMS Engineer
MatchBox Consulting Group
Calgary, AB
- Full-time
Review of application patches and system configurations; support testing of software security updates, such as patches and anti-virus.
Added 44 mins ago
MG
Electronic Assembler
MISTRAS Group
Calgary, AB
- Full-time
Utilize proprietary software to perform diagnostics, basic programming, or verification tests.
Added 44 mins ago
TS
Electrical Lead (Engineering)
Tetranex Solutions Inc.
Calgary, AB
- Full-time
Working alongside a team of experienced electrical engineers and reporting to the Electrical Engineering Manager, you will provide technical leadership on assigned projects, coordinating…
Added 1 hour ago
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Hyper Automation Lead
Raise
Calgary, AB
- Full-time
Added 1 hour ago
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Manager, Industrial Relations
Fluor Corporation
Leroy, SK
- Full-time
Fluor is one of Canada's top employers and is recognized globally as a leader in the Engineering, Procurement, Construction, Fabrication, and Maintenance industry. Our focus on innovation…
Added 1 hour ago
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Project Manager
Actalent
Burnaby, BC
- $43 to $53 CAD / hour
- Full-time
…multiple complex subsea equipment build programs. The Project Manager will work directly with engineering, production, procurement, and finance teams to manage the lifecycle of drill system…
Added 1 hour ago
TG
Senior Manager, AI and Data
TMX Group
Toronto, ON
- $165,000 to $175,000 CAD / year
- Full-time
Degree in Computer Science, Software Engineering, Applied Mathematics, or a related quantitative field.
Added 1 hour ago
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Web Developer
GAIN
Vancouver, BC
- $65,000 to $75,000 CAD / year
- Full-time
…technical implementation with the support of the Web Development…
Added 1 hour ago
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Senior Product Manager, AI Harness
Verily
Waterloo, ON
- Full-time
Deep technical foundation. You have a background in software engineering, systems engineering, data science, clinical informatics, or a comparable discipline. You can review architecture…
Added 1 hour ago
AW
Business Analytics Specialist, Temporary
Aviso Wealth
Remote, Canada
- Temporary
- Remote
Added 1 hour ago
AW
Business Analytics Specialist, Temporary
Aviso Wealth
Remote, Canada
- Temporary
- Remote

TMX Group

Senior Manager, AI and Data

Toronto, ON, Canada

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

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Job details

Pay: $165,000 to $175,000 CAD / year
Job type: Full-time
Apply by: Nov 25, 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 deliver the AI and data roadmap, lead a multidisciplinary engineering team, and oversee production AI/ML and data solutions across the organization. Establish responsible AI, governance, MLOps, and production support practices while managing delivery, platforms, vendors, and service levels.

Requirements

Requires a degree in computer science, software engineering, applied mathematics, or a related quantitative field, with 8+ years of relevant experience and 3+ years leading technical teams or managers. Candidates need a proven record delivering production data and AI products, strong expertise in AI/ML and generative AI, and hands-on knowledge of data platforms, cloud services, engineering practices, and production operations.

Skills

AI Strategy
People Leadership
Machine Learning
Generative AI
Large Language Models
MLOps
Python
SQL
Snowflake
AWS
Data Architecture
Data Engineering
Data Governance
Responsible AI
CI/CD
Incident Response

Benefits

Flexible Workstyle
Generous Time Off
Leaves
Wellness Programs

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Generative AI
Large Language Models
Retrieval-Augmented Generation
Agentic Workflows
Natural Language Processing
Time Series Forecasting
Anomaly Detection
MLOps
Python
SQL
Snowflake
AWS
S3
IAM
KMS
Glue
Lambda
Kinesis
Apache Iceberg
Spark
Kafka
Airflow
dbt
PyTorch
TensorFlow
scikit-learn
MLflow
Docker

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