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Added 2 mins ago
SM
RQ00833 – Program Manager – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
We are seeking a Senior Program Manager with extensive experience in program and portfolio management, strategic planning, governance, stakeholder engagement, risk management, and the…
Added 2 hours ago
T
Senior Manager - Senior Tech Lead – AI & Technology Transformation
Toast
Montreal, QC
- $103,000 to $190,000 USD / year
- Full-time
…production across enterprise functions. This Montreal-based Senior Manager, Senior Tech Lead role blends consulting, delivery leadership and hands-on technical work, guiding clients from AI…
Added 2 hours ago
T
Senior Manager - Senior AI Architect
Toast
Montreal, QC
- $103,000 to $190,000 USD / year
- Full-time
Toast is recruiting on behalf of one of the world’s largest professional services firms for a Senior Manager, Senior AI Architect based in Montreal. With more than 10,000 people across…
Added 2 hours ago
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Director of AI Delivery
nesto
Toronto, ON
- Full-time
Lead the pod. Lead a senior delivery pod (delivery managers, underwriting expert, data scientists, program PM) day to day. Guide the AI Delivery Managers as they gather requirements for…
Added 2 hours ago
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Director of AI Delivery
nesto
Montreal, QC
- Full-time
Lead the pod. Lead a senior delivery pod (delivery managers, underwriting expert, data scientists, program PM) day to day. Guide the AI Delivery Managers as they gather requirements for…
Added 3 hours ago
T
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 3 hours ago
T
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 3 hours ago
TS
Vice President, Global Core Trade Finance, TD Securities, Global Transaction Banking
TD Securities
Toronto, ON
- Full-time
…including GTB Risk & Control, Product Management, Client Solutions, Data & Analytics, and Deposit Portfolio Management. TWC is made up of Global Core Trade Finance ("GCTF") and Structured…
Added 3 hours ago
T
Senior Manager, Business Banking Deposits Product Management - Tangerine
Tangerine
Toronto, ON
- Full-time
The Senior Manager, Small Business Deposit Products is accountable for supporting the execution of Tangerine’s Small Business deposits strategy and product roadmap. The role will help…
Added 3 hours ago
TS
Commercial Card Associate Product Manager
TD Securities
Toronto, ON
- Full-time
The Commercial Card Associate Product Manager supports the development, delivery, and ongoing management of Commercial Card products and capabilities. Working under the direction of more…
Added 3 hours ago
SH
Senior Manager, Analytics & Insights
SE Health
Markham, ON
- Full-time
The Senior Manager is accountable for the team’s people, delivery, priorities and escalations, and for building and maintaining the demand pipeline with business, clinical and operations…
Added 4 hours ago
TG
Project Analyst Intern
TMX Group
Toronto, ON
- $20 to $23 CAD / hour
- Full-time
This role reports to: Senior Manager, Project Management Talent & Resources
Added 4 hours ago
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Customer Success Manager, Global Delivery Partnerships
Uber
Toronto, ON
- Full-time
As a Customer Success Manager (CSM) on the GDP Delivery team, you will play a critical role in ensuring merchant success across Uber's delivery platform. This role sits at the intersection…
Added 4 hours ago
TG
Senior Manager, AI and Data
TMX Group
Toronto, ON
- $165,000 to $175,000 CAD / year
- Full-time
Oversee data modelling, warehousing and lakehouse architecture, and streaming, ensuring the data layer is ready to serve both analytics and AI workloads.
Added 4 hours ago
V
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 4 hours ago
TG
Project Analyst Intern
TMX Group
Toronto, ON
- $20 to $23 CAD / hour
- Full-time
This role reports to: Senior Manager, Project Management Talent & Resources
Added 4 hours ago
T
Senior Specialized Finance Analyst
TD
Toronto, ON · Laval, QC
- Full-time
…career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future…
Added 4 hours ago
T
HR Operations Analyst I
TD
London, ON · Toronto, ON
- Full-time
Assess and analyze operational, application, data, and process issues; perform root cause analysis and recommend corrective actions to prevent recurrence and improve service delivery.
Added 4 hours ago
T
Senior Market Risk Analyst (5772)
TD
Toronto, ON
- Full-time
…partnering closely with front office, product control, and risk analytics teams to ensure risks are well‑understood, consistently measured, and transparently communicated. The group…
Added 4 hours ago
T
Manager, Business Systems Analysis, TD Securities
TD
Toronto, ON
- Full-time
…risk factors. We are looking for a Business Systems Analysis Manager to join our agile and highly talented development…
Added 4 hours ago
OB
Marketing Technology Lead Developer
O2E Brands
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Analytics & Growth Stack Integration: Maintain seamless data flow between front-end web properties and backend marketing solutions (Google Tag Manager, HubSpot, Salesforce, etc.), ensuring…
Added 5 hours ago
PV
Senior Manager - CRM & Lifecycle Marketing
Pet Valu
Markham, ON
- Full-time
…engagement, and customer lifetime value. Leveraging customer data, analytics, loyalty insights, and personalization capabilities, the Senior Manager will create relevant, timely, and…
Added 5 hours ago
TG
Senior Manager, AI and Data
TMX Group
Toronto, ON
- $165,000 to $175,000 CAD / year
- Full-time
Oversee data modelling, warehousing and lakehouse architecture, and streaming, ensuring the data layer is ready to serve both analytics and AI workloads.
Added 5 hours ago
TG
Senior Manager, Enterprise Risk Management
TMX Group
Toronto, ON
- $130,000 to $145,000 CAD / year
- Full-time
…abilities, coupled with an active interest in leveraging modern data analytics and Generative AI (GenAI) tools to streamline workflows and modernize risk…
Added 5 hours ago
T
Manager, Engineering - TD Data Platform
TD
Toronto, ON
- Full-time
We are looking for an experienced Engineering Leader to lead a team of Data Engineers and Technology Specialists supporting Branch Banking, Coach Ready and Loyalty. This role will provide…

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: 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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