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Added 8 days ago
B
Manager, Data Products & Analytics Modernization
BeachHead
Markham, ON
- Full-time
Apply Python, SQL, and Power BI to develop data solutions and conduct hands-on data analysis
Added 8 days ago
RB
Product Manager, Advanced Analytics, Tim Hortons, Canada
Restaurant Brands International
Toronto, ON · Corp - Toronto Corporate Office
- Full-time
Familiarity with data analysis languages (e.g. SQL & Python) and modern data tools (e.g., Databricks, Snowflake, AWS, Datadog, Adobe) and analytics visualization tools.
Added 8 days ago
Analyst, Core Engineering, GAFE, Global Banking and Markets - Toronto
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Toronto, ON
Experience with key-value stores and No-SQL databases like Redis and Cassandra
Added 8 days ago
E
Sr. Software Engineer - Backend
eBay
Toronto, ON
- Full-time
Direct experience with GCP services such as Cloud Run, Pub/Sub, Cloud SQL, and related managed infrastructure.
Added 8 days ago
AI Data Developer I, Professional Services, Google Cloud
Google
Toronto, ON
Experience with data platform administration or distributed data processing techniques, as well as writing software in Java, Python, or SQL.
Added 8 days ago
AI Data Developer II, Professional Services, Google Cloud
Google
Toronto, ON
Experience with database administration techniques or distributed data processing, as well as writing software in Java, Python, or SQL.
Added 8 days ago
OR
Data Engineer
OSL Retail Services Inc
Mississauga, ON
- Other
Knowledge of and experience with different data sources (SQL and NoSQL), programming (Python or R), XML, REST API and JavaScript,
Added 8 days ago
M
Senior Analyst, Digital Transformation & Automation
Medtronic
Brampton, ON
- Full-time
Use SQL, Python, DAX, Power Query, Snowflake, and similar technologies to analyze data and solve business problems.
Added 8 days ago
Q
GCP Senior Data Engineer
Querentia
Toronto, ON
- Contract
…Google Cloud Platform (GCP) services, particularly BigQuery, and knowledge of DBT for data transformation and modeling. The ideal candidate will have strong SQL skills, a solid…
Added 8 days ago
T
IT Manager Development (Python)
TD
Toronto, ON
- Full-time
The Pricing technology team is seeking an experienced IT Manager to lead the design and delivery of an AI-enabled capability that integrates with existing models and creates a scalable,…
Added 8 days ago
C
Senior Manager, Automation
CIBC
Toronto, ON
- Full-time
Solution Design & Development – Collaborate with business and IT stakeholders to design, develop, and deploy efficient automation solutions using Microsoft Power Platform, Python, SQL,…
Added 8 days ago
JG
AI Engineer With Python Coding - 8+ Years
J2B Global LLC
Mississauga, ON
- Full-time
Design, build, and deploy Python-based AI/LLM applications using FastAPI/Flask.
Added 8 days ago
Data Architect & Team Lead
Konrad
Toronto, ON
Strong programming proficiency in SQL, Python, Scala, or related languages.
Added 8 days ago
CF
Manager, Data Operations
CI Financial
Toronto, ON
- Full-time
Proficiency in SQL and Python, with the ability to guide technical design and review solutions.
Added 9 days ago
O
Analyste technique en données et diagnostics
Otodata
Montreal, QC
- Full-time
Use SQL and automation tools to extract, transform, and validate data.
Added 9 days ago
NB
Technical Support Analyst – Digital Assets
National Bank of Canada
Toronto, ON
- Full-time
Proficiency in SQL to query, analyze, and validate transaction and reference data
Added 9 days ago
NB
Senior Data Scientist Model Developement and Validation
National Bank of Canada
Richmond Hill, ON
- Full-time
Hands-on experience with SAS, Python, MS Excel (VBA) or SQL.
Added 9 days ago
SE
Developer
SmartSource Electronics
Mississauga, ON
- Full-time
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Added 9 days ago
S
Senior Software Developer
Seequent
Quebec, QC · Canada Quebec QC Office
- Full-time
Expérience en stockage de données relationnelles et NoSQL, avec une solide maîtrise de SQL, de Python et de JSON,
Added 9 days ago
PC
Deals Value Creation Analytics Senior Associate (Bilingual FR/EN)
Pwc Canada
Montreal, QC
- Full-time
Experience integrating disparate data sources and structuring, cleansing, and transforming data using tools such as Alteryx, SQL, Python, Databricks, or Power Query
Added 9 days ago
T
Wealth Operations Automation Intern / Co-Op (Winter 2027)
TD
Toronto, ON
- Full-time
Strong technical knowledge and experience with one or more of: Python, Spark/PySpark, SQL, Alteryx or PowerBI
Added 9 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in designing, developing, automating, and optimizing complex data pipelines and cloud-based data platforms.…
Added 9 days ago
RB
Lead Data Scientist, AML Analytics
Royal Bank of Canada
Toronto, ON
- Full-time
Expertise in analyzing and manipulating large datasets with Python and Scala/Spark·
Added 9 days ago
CO
Application & Integration Technical Analyst
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- Full-time
Database querying and transformation: dbt, SQL (writing queries, joins, stored procedures)
Added 9 days ago
SM
Senior Technical Lead (Full-Stack & Applied ML) (Contract)
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- Full-time
Strong backend, SQL, API and authorization skills, plus practical React/TypeScript. You can own mobile releases and debug state, sync and recovery problems

IT Manager Development (Python)

Toronto, ON, Canada

$96,900 - 136,800 CADThis role is temporarily eligible for a pay premium above the posted salary range that is reassessed annually. · Full-time

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Job details

Pay: $96,900 - 136,800 CADThis role is temporarily eligible for a pay premium above the posted salary range that is reassessed annually.
Job type: Full-time
Apply by: Nov 3, 2026
Posting language: English
Posted: Oct 20, 2026

Original job description

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Technology Solutions

Pay Details:

$96,900 - 136,800 CADThis role is temporarily eligible for a pay premium above the posted salary range that is reassessed annually. You are encouraged to have an open dialogue with your recruiter who can provide more specific pay details for this role.

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

Department Overview

The Pricing technology team is seeking an experienced IT Manager to lead the design and delivery of an AI-enabled capability that integrates with existing models and creates a scalable, business-facing layer for scenario forecasting, A/B testing, model output review, and production workflow integration. This role will be accountable for providing hands-on technical leadership across Python-based model integration, API/service design, data and model orchestration, validation workflows, user interaction design, and enterprise-ready implementation.

Job Accountabilities – What You'll Do

Lead the technical design and implementation of an AI capability that integrates with existing enterprise models and enables business users to interact with model outputs in a controlled, intuitive, and scalable manner.
Design and develop a Python wrapper layer to standardize model integration, manage inputs and outputs, support reusable interfaces, and simplify future onboarding of additional models.
Build or guide the development of APIs, services, orchestration workflows, and integration patterns that connect models with business applications and production systems.
Develop an interactive business layer that enables scenario forecasting, what-if analysis, A/B testing, model output review, and validation before downstream execution.
Partner with business stakeholders, product owners, data science teams, architects, QE, DevOps, risk, security, and operations teams to translate business outcomes into executable technical solutions.
Define technical requirements, solution options, delivery milestones, dependencies, risks, controls, and acceptance criteria for AI-enabled capabilities.
Establish validation workflows to ensure model outputs are reviewed, explainable, traceable, and approved before integration into production processes.
Ensure the solution aligns with enterprise architecture, data governance, security, privacy, responsible AI, model governance, release management, and operational readiness standards.
Provide technical guidance to engineering teams on clean Python design, modular architecture, API-first integration, automated testing, observability, resiliency, and production supportability.
Drive issue resolution, performance tuning, defect triage, release readiness, and post-implementation stabilization for AI-enabled workflows.
Prepare clear technical documentation, implementation plans, executive updates, and stakeholder communications to support delivery transparency and decision-making.
Mentor developers and analysts, promote engineering excellence, and foster a culture of innovation, accountability, and responsible adoption of AI capabilities.

Where You'll Work

You’ll be expected to work Primarily onsite at a TD location for meetings, team events and experiences. The hiring manager will provide more information about how this works for their team.

Job Requirements – What Yon Need to Succeed

Post-secondary degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related technical discipline, or equivalent practical experience.
Strong hands-on experience with Python, including reusable package design, API integration, automation, data processing, orchestration, and production-quality coding practices.
Proven experience designing and delivering integration layers for models, analytics engines, APIs, microservices, data pipelines, or workflow automation solutions.
Practical understanding of AI/ML solution patterns, including model consumption, input/output handling, evaluation, monitoring, validation, explainability, and responsible AI controls.
Experience translating business needs into technical designs, user stories, integration patterns, acceptance criteria, and delivery plans.
Strong knowledge of enterprise technology delivery practices, including Agile delivery, SDLC, DevOps, CI/CD, testing automation, release management, monitoring, resiliency, and production support.
Ability to assess architecture options, technical trade-offs, risks, dependencies, data requirements, scalability considerations, and downstream operational impacts.
Demonstrated ability to lead cross-functional teams and influence stakeholders across technology, business, data, architecture, risk, security, compliance, and operations.
Excellent communication skills with the ability to explain complex AI and integration concepts to both technical and non-technical audiences.

Preferred

Experience in banking, financial services, pricing, forecasting, analytics, or decisioning platforms.
Familiarity with cloud-enabled AI services, Azure AI, Azure OpenAI, Databricks, SQL, REST APIs, Git, CI/CD pipelines, monitoring tools, Jira, Confluence, and enterprise data platforms.
Experience building business-facing tools for scenario analysis, simulation, experimentation, dashboarding, workflow review, or decision support.
Understanding of model governance, auditability, privacy, data lineage, access controls, and regulated production environments.
Ability to operate with ambiguity, structure complex delivery work, remove blockers, and drive measurable business and technology outcomes.

Who We Are:

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:
We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.

Colleague Development

If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular 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 opportunities.

If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process
We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation
Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you!

Language Requirement (Quebec only):

Sans Objet

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More about this job

Responsibilities

Lead the technical design and implementation of an AI-enabled capability that integrates enterprise models with business-facing workflows. You will be responsible for building Python-based integration layers, APIs, and validation workflows to support scenario forecasting and model output review.

Requirements

Requires a post-secondary degree in a technical discipline and strong hands-on experience with Python, API integration, and AI/ML solution patterns. Candidates must demonstrate the ability to lead cross-functional teams and possess knowledge of enterprise technology delivery practices.

Skills

Python
AI/ML
API design
Data orchestration
Scenario forecasting
A/B testing
Model integration
Cloud-enabled AI services
Azure AI
Databricks
SQL
REST APIs
CI/CD
Agile delivery
Technical leadership
Model governance

Benefits

Health and well-being benefits
Savings and retirement programs
Paid time off
Banking benefits and discounts
Career development programs
Reward and recognition programs

Visa sponsorship

Not detected in the job text

Keywords

Python
AI
Machine Learning
API
Microservices
Data Orchestration
Scenario Forecasting
A/B Testing
Azure AI
Azure OpenAI
Databricks
SQL
REST APIs
Git
CI/CD
Agile
SDLC
DevOps
Model Governance
Data Governance
Financial Services
Pricing
Analytics
Decisioning Platforms
Jira
Confluence
Technical Leadership
Automation
Enterprise Architecture
Responsible AI

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