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Added 5 mins ago
R
Hyper Automation Lead
Raise
Calgary, AB
- Full-time
…solutions across the airline. This role works closely with business and technology partners to identify high-impact automation opportunities, translate business needs into scalable…
Added 6 mins ago
L
7818 - Assistant Store Manager PT
Lids
Vaughan, ON
- $18.1 USD / hour
- Part-time
Act as Manager on duty for any employee scheduling issues, customer complaints, etc. when Store Manager is not present.
Added 6 mins ago
RT
Senior Engineer – Electrical Systems Integration
Rang Technologies Inc
Toronto, ON
- $50 to $55 CAD / hour
- Contract
In your role, you will be supported by the electrical systems manager as a Professional – Engineering – Electrical Systems Integration in a multifaceted position within the Functional…
Added 6 mins ago
L
7734 - 3rd Key(H)
Lids
Lloydminster, AB
- $15.5 USD / hour
- Full-time
Act as Manager on duty for any employee scheduling issues, customer complaints, etc. when Store Manager is not present.
Added 6 mins ago
CM
Visitor Services & Communications Coordinator
Canmore Museum
Canmore, AB
- Full-time
POSITION TYPE: Permanent| Full-time | 37.5 hours per week | Business Hours - Wednesdays to Sundays*| *subject to seasonal demand.
Added 6 mins ago
TG
Senior Manager, AI and Data
TMX Group
Toronto, ON
- $165,000 to $175,000 CAD / year
- Full-time
…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…
Added 6 mins ago
YU
Gift Processing Specialist
York University
Toronto, ON
- Full-time
Advancement Services & Operations is the administrative and technology support unit for all Advancement activities
Added 6 mins ago
BM
Manager, IT On Site Support
Baker McKenzie
Toronto, ON
- $81,000 to $90,700 CAD / year
The Manager, IT On Site Support is responsible for ensuring the reliable operation of end-user technology, office systems, and collaboration tools to enable attorneys and business…
Added 6 mins ago
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IT Operations Analyst III
TD
Toronto, ON
- Full-time
…hardware, software, e-Messaging, mobile devices, education on TD technology processes) to TD Bank Group employees in all lines of…
Added 6 mins ago
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Senior Product Manager, AI Harness
Verily
Waterloo, ON
- Full-time
Verily Health is a data platform and technology company purpose-built to power AI-enabled precision health solutions that accelerate research and improve care for individuals and…
Added 6 mins ago
K
Project Manager
Kyndryl
Regina, SK
- Full-time
At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses. We are at the heart of progress; with proven expertise and…
Added 6 mins ago
FH
Analyst, Business Systems
Fraser Health
Surrey, BC
- Full-time
Bachelor's degree in Health Information Science, Computer Science, or a related discipline, combined with experience in business and systems analysis, or an equivalent combination of…
Added 6 mins ago
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Senior Analyst, Capital Governance & Reporting
EPCOR
AB · Edmonton, Alberta
- Full-time
…processes, and maintenance of Oracle project records and reporting information. The position collaborates closely with Project Managers, Finance teams, and other stakeholders to support…
Added 20 mins ago
Sr Sales Strategy and Operations Manager, Central StratOps, GTM and Analytics
Amazon
Toronto, ON
…Sales managers and the broader Sales organization have the information and processes needed to operate and execute efficiently. You will design and coordinate sales planning workflows…
Added 20 mins ago
Team Lead, Service Delivery - Windsor Ontario, Canada
TTEC
Canada
Our business is about making customers happy. That’s all we do. Since 1982, we’ve helped companies build engaged, pleased, profitable customer experiences powered by our combination of…
Added 20 mins ago
Team Lead, Service Delivery - Windsor Ontario, Canada
Percepta
Canada
Our business is about making customers happy. That’s all we do. Since 1982, we’ve helped companies build engaged, pleased, profitable customer experiences powered by our combination of…
Added 35 mins ago
T
HR Operations Analyst I
TD
London, ON · Toronto, ON
- Full-time
Act as a key resource and subject matter expert for supported HR technology applications, processes, and operational activities by providing specialized application, process, and systems…
Added 35 mins ago
T
Manager, Business Systems Analysis, TD Securities
TD
Toronto, ON
- Full-time
Join our growing team of Software Engineers and Business Systems Analysts working with the best and brightest in financial services to develop TD's Counterparty Credit Risk (CCR) and 'x'…
Added 35 mins ago
L
5760 - Assistant Store Manager FT
Lids
Medicine Hat, AB
- Full-time
Act as Manager on duty for any employee scheduling issues, customer complaints, etc. when Store Manager is not present.
Added 35 mins ago
L
5756 - Assistant Store Manager FT
Lids
Saint John, NB
- Full-time
Act as Manager on duty for any employee scheduling issues, customer complaints, etc. when Store Manager is not present.
Added 35 mins ago
L
7775 - Assistant Store Manager FT
Lids
Kamloops, BC
- $20 to $20.5 USD / hour
- Full-time
Act as Manager on duty for any employee scheduling issues, customer complaints, etc. when Store Manager is not present.
Added 35 mins ago
L
5716-Seasonal Sales Help(H)
Lids
AB · Edmonton, AB
- $15 USD / hour
- Temporary
In connection with your application, we collect information that identifies, reasonably relates to, or describes you (“Personal Information”). The categories of Personal Information we…
Added 35 mins ago
L
7732 - Assistant Store Manager FT
Lids
London, ON
- $19 USD / hour
- Full-time
Act as Manager on duty for any employee scheduling issues, customer complaints, etc. when Store Manager is not present.
Added 35 mins ago
L
5769 - Assistant Store Manager FT
Lids
Sarnia, ON
- $19 to $20 USD / hour
- Full-time
Act as Manager on duty for any employee scheduling issues, customer complaints, etc. when Store Manager is not present.
Added 35 mins ago
L
5721 - 3rd Key
Lids
Windsor, ON
- $18 to $18.5 USD / hour
- Part-time
In connection with your application, we collect information that identifies, reasonably relates to, or describes you (“Personal Information”). The categories of Personal Information we…

TMX Group

Senior Manager, AI and Data

Toronto, ON, Canada

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

Apply About employer

Applications open in a new tab.

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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