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Added 8 mins ago
Customer Success Operations Analyst
Global Relay
Vancouver, BC
…industry-leading cloud archiving, surveillance, eDiscovery, and analytics solutions. We securely capture and preserve the communications data of the world’s most highly regulated firms,…
Added 8 mins ago
RI
Associate Product Manager
Remarcable, Inc.
Vancouver, BC
- $90,000 to $115,000 CAD / year
- Full-time
Lead agile ceremonies with engineering pods, including sprint planning, backlog prioritization, and retrospectives to ensure steady delivery.
Added 8 mins ago
RI
AI Engineer
Remarcable, Inc.
Remote, Canada
- Full-time
- Remote
As our AI Engineer, you will turn the data flowing through Remarcable every day (purchase orders, quotes, invoices, inventory and supplier catalogs) into AI features that save contractors…
Added 23 mins ago
HS
CA Financial Controller
Henry Schein Canada
Surrey, BC
- Full-time
Henry Schein One (HSOne) is the global leader in dental management, analytics, communication, and marketing software. We deliver innovative dental software and services, combined with…
Added 23 mins ago
N
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 23 mins ago
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- Full-time
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FC
Faculty Teaching and Learning Development Consultant
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Use data analytics to assess program effectiveness and inform improvements
Added 23 mins ago
GR
Customer Success Operations Analyst
Global Relay
Vancouver, BC
- Full-time
…industry-leading cloud archiving, surveillance, eDiscovery, and analytics solutions. We securely capture and preserve the communications data of the world’s most highly regulated firms,…
Added 23 mins ago
N
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 23 mins ago
OP
Associate Director, Talent Acquisition
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- Full-time
Critical Mass is seeking a strategic Associate Director, Talent Acquisition to lead and scale our recruitment efforts across North America and EMEA, with primary focus on building…
Added 52 mins ago
SS
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- Contract
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Added 52 mins ago
HT
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- Full-time
Apply a data-driven, first-principles approach, leveraging scientific modeling, experimentation, and advanced analytics to understand, predict, and optimize complex physical phenomena.
Added 52 mins ago
S
Operations Manager
Specsavers
Delta, BC
- Full-time
Lead the day-to-day management of warehouse and manufacturing operations, providing visible operational support across all shifts.
Added 52 mins ago
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Financial Manager - PLM (Product Line Mgmt)
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- Full-time
…passion of our people around the world and their desire to lead change. At the same time, we are not afraid to expect a lot and strive for leadership in all of our key markets. We are a…
Added 52 mins ago
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Master Data Mgmt Analyst
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- Full-time
…passion of our people around the world and their desire to lead change. At the same time, we are not afraid to expect a lot and strive for leadership in all of our key markets. We are a…
Added 52 mins ago
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- Full-time
Work with the Research Lead(s) to determine priority of activities and tasks
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Barrie, ON
- Full-time
…Digital Health (RDH) Clinical Informatics. As a member of the RDH lead agency team, the RDH Clinical Informatics team has a synergistic working relationship with areas and stakeholders…
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- Full-time
…Systems, solutions integration, Robotics Process Automation (RPA), data analytics and digital transformation through disciplined project execution, cross-functional department coordination…
Added 52 mins ago
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Added 52 mins ago
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Director, Finance (CSM)
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At Husky TechnologiesTM, our success is based on your success. Our ability to keep our customers in the lead is based on building the strongest team possible.
Added 52 mins ago
HT
Financial Manager
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- Full-time
…play an integral role in providing insightful and meaningful data on financial performance in order to facilitate decision making and strategic…
Added 52 mins ago
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Added 52 mins ago
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Lead the month-end, quarter-end, and year-end close processes, ensuring accuracy, completeness, and compliance with accounting standards
Added 52 mins ago
PS
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Lead financial planning, budgeting and forecasting for both companies.
Added 52 mins ago
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TD
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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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