Jobs in Canada

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Added 29 days ago
C
Senior Java Full Stack Developer
CGI
Toronto, ON
- Full-time
This role is hybrid and requires you to be at our downtown Toronto and/or Client office at a minimum 2 -3 days per week subject to change at any time
Added 29 days ago
S
Data Analyst / Product Owner
SPECTRAFORCE
Toronto, ON
- $48 to $52 CAD / hour
- Contract
We are seeking a Senior Data Analyst / Product Owner to support the end-to-end delivery, enhancement, and lifecycle management of data and analytics products. This hybrid role combines deep…
Added 29 days ago
K
Data Analyst
Kelly
Toronto, ON
- Contract
Write complex SQL queries, stored procedures, and views; use Python for data analysis, automation, reconciliation, and validation.
Added 29 days ago
ES
Forward Deployed Engineer
Epsilon Solutions Ltd.
Toronto, ON
- Full-time
Profile unfamiliar client data using Python, pandas, PySpark, and SQL to assess coverage, quality, volumes, distributions, edge cases, and feasibility.
Added 29 days ago
S
System Analyst
SMARTFOX
Canada
- Full-time
Write SQL queries to investigate data, validate migrations, and support reporting
Added 29 days ago
S
Software Quality Assurance Analyst
SMARTFOX
Canada
- Full-time
Basic SQL, API testing (Postman), or browser developer tools
Added 29 days ago
Sr. Analyst, Digital Analytics
Rogers Communications
Toronto, ON
The Digital Data Analytics Senior Analyst plays a key role in analyzing customer behaviour across digital platforms and translating data into actionable insights that improve customer…
Added 29 days ago
TI
Senior Data Analyst / Product Owner
TekStaff IT Solutions
Toronto, ON
- Contract
TekStaff's Client has a current vacancy for a Senior Data Analyst / Product Owner.
Added 29 days ago
RC
Manager, Financial Planning & Analysis
Randstad Canada
Toronto, ON
- $65 to $70 CAD / hour
- Contract
Location: Toronto, ON - Hybrid, 3 days in office
Added 29 days ago
H
Data Quality Engineer
Hays
Toronto, ON
- Contract
Proficiency in Python, Java, and SQL for test automation and ETL validation.
Added 29 days ago
CC
Manager, Enterprise Data Solutions
Connor, Clark & Lunn Financial Group (CC&L)
Vancouver, BC
- Full-time
Our offices currently operate on a hybrid model with three days in office
Added 29 days ago
B
Senior Analyst, Data Foundations and Infrastructure
BMO
Toronto, ON · YNG
- Full-time
Writes and maintains SQL queries and Python scripts to extract, transform, validate, and reconcile data across systems.
Added 29 days ago
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Senior Murex Integration Specialist (S4C)
Luxoft
Canada
- Full-time
- Must have strong personality, logical and analytical skills
Added 29 days ago
S
Python Developer
SMARTFOX
Canada
- Full-time
Senior Developer - 5+ years : Architecting services, setting technical direction, leading projects, raising engineering standards
Added 29 days ago
TC
forward Deployed Engineer
Tata Consultancy Services
Toronto, ON
- Full-time
Profile unfamiliar client data using Python, pandas, PySpark, and SQL to assess coverage, quality, volumes, distributions, edge cases, and feasibility.
Added 29 days ago
M
Senior Software Engineer
Microsoft
Vancouver, BC
- Full-time
…analytics through products including Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and…
Added 29 days ago
M
Senior Software Engineer
Microsoft
Vancouver, BC
- Full-time
…The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and…
Added 29 days ago
C
Senior Full-Stack Engineer, Cohere Dashboard
Cohere
Remote, Canada
- Full-time
- Remote
You’re comfortable with the front and back end of the stack, and have previously worked with Next.js, TypeScript, React, and Python
Added 29 days ago
Data Engineer
Capgemini
Mississauga, ON
Acts as SME to senior stakeholders and or other team members
Added 29 days ago
T
Applied Machine Learning Scientist II
TD
Toronto, ON
- Full-time
Position typically deals with senior/executive management.
Added 29 days ago
AE
Senior Specialist, Geology & Data Science
Alberta Energy Regulator
AB · Calgary, AB · Edmonton Regional Office
- Full-time
Strong technical proficiency with Python, R, SQL, or other high-level programming languages and software tools used to support data management and analytics.
Added 29 days ago
Senior Machine Learning Engineer, Benefits Personalization
HelloFresh
Toronto, ON
This means a minimum of 2 days in office per week, with most teams in office between 2-3 days
Added 29 days ago
R
Associate Director, GRA - Market Risk Analytics
RBC
Toronto, ON
- Full-time
Provide comprehensive explanation to risk managers, senior management and regulators regarding methodology analysis.
Added 29 days ago
B
Senior Manager, Credit Risk Strategy Oversight
BMO
Toronto, ON · BMOPLACE
- Full-time
Advanced skills in Python, SQL, SAS, R, or comparable analytical tools; ability to translate complex analysis for senior audiences.
Added 29 days ago
SI
Lead Product Analyst
Scribd, Inc.
Toronto, ON · Vancouver, BC
- Full-time
Advanced SQL, and experience with Python or R for analysis and statistical wor

Connor, Clark & Lunn Financial Group (CC&L)

Manager, Enterprise Data Solutions

Vancouver, BC, Canada

The expected base salary range for this position is $135,000 – $165,000. · Full-time

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Job details

Pay: The expected base salary range for this position is $135,000 – $165,000.
Job type: Full-time
Apply by: Nov 12, 2026
Work location: Our offices currently operate on a hybrid model with three days in office
Experience: 3+ years of experience designing or delivering enterprise data solutions, data architecture, analytics platforms or related technologies.
Posting language: English
Posted: Oct 13, 2026

Original job description

Interested in joining one of Canada’s top performing asset managers?

We are looking for a Manager, Enterprise Data Solutions to help build and deliver scalable data capabilities across the organization.

Working closely with the technology leadership including Senior Manager, Enterprise Data Solutions, this role will provide both technical, strategy and people leadership across our enterprise data environment. You will help translate our data strategy into practical solutions, lead important data initiatives, and develop strong partnerships across investment, operations and technology teams.

A key part of this role is also helping us build greater leadership depth and operational resilience within Enterprise Data Solutions. The successful candidate will develop broad knowledge across our data platforms, architecture and key business processes, and be capable of assuming leadership responsibility across important initiatives when required.

Our offices currently operate on a hybrid model with three days in office.

What You Will Do

Data Strategy Execution: Work with the Senior Manager to translate the enterprise data strategy into a practical roadmap, priorities and deliverables.
Data Architecture & Solutions: Lead the design and implementation of scalable data solutions, data models, integration patterns and platforms supporting investment and enterprise use cases.
Delivery Leadership: Take ownership of significant data initiatives from design through implementation, coordinating engineers, analysts, business partners and technology teams.
AI & Advanced Data Capabilities: Help integrate AI, machine learning and intelligent automation into enterprise data solutions where they provide meaningful business value.
Data Platforms: Support the implementation and evolution of enterprise data platforms, including data lakes, analytics environments and cloud-based data services.
Data Governance & Controls: Help establish practical standards for data quality, ownership, lineage, controls and responsible use of AI and data.
Business Partnership: Work closely with investment management, operations and technology teams to understand business requirements and translate them into sustainable data solutions.
Team Leadership: Lead, coach and develop data professionals while creating clear accountability, strong engineering practices and a collaborative team environment.
Leadership Depth & Resilience: Develop working knowledge across critical Enterprise Data Solutions responsibilities, platforms and stakeholder relationships so that leadership and decision-making can continue effectively when priorities or availability change.
Continuous Improvement: Identify opportunities to simplify the data environment, reduce manual processes, improve reliability and increase reuse across the organization.

What You Bring

Bachelor’s or master’s degree in Computer Science, Data Science, Engineering, Information Systems or a related discipline.
6+ years of relevant experience, ideally within Investment Management, Asset Management or Financial Services, with exposure to investment, operations, data or technology functions.
3+ years of experience designing or delivering enterprise data solutions, data architecture, analytics platforms or related technologies.
Experience leading technical teams, projects or significant workstreams with accountability for delivery.
Strong understanding of modern data architecture, data modelling, integration and cloud-based data platforms such as Azure, Microsoft Fabric or AWS.
Practical understanding of AI, machine learning and intelligent automation and how these capabilities can be incorporated into enterprise data solutions.
Working knowledge of programming and data technologies such as Python, SQL or comparable tools.
Strong understanding of data governance, data quality, controls and enterprise data management practices.
Ability to work effectively with both senior business stakeholders and technical teams, translating between business needs and technology solutions.
Strong leadership, communication, problem-solving and analytical skills.
Experience within investment management data domains such as portfolio, security, transaction, reference, market or operational data would be an asset.
Experience supporting large-scale data transformation or modernization programs would be an asset.

The expected base salary range for this position is $135,000 – $165,000. The midpoint represents our general market target for a fully qualified and experienced individual performing the role. Actual starting salary may fall below or above the midpoint depending on the candidate's relevant experience, skills and qualifications, as well as internal equity considerations. Further questions may be directed to the HR team during the interview process.

What We Offer

At Connor, Clark & Lunn Financial Group, we’re "invested in our greatest asset, you". Our shared goals reflect what matters most to our people:

Your community: we foster belonging through collaboration, inclusion and flexibility. Enjoy social events, volunteering and a strong commitment to corporate social responsibility. Our flexible work practices are designed to support work-life balance and provide employees with flexibility in where and how they work
Your growth: we prioritize your development with meaningful work, continuous learning budgets, paid study days and support for professional designations.
Recognizing you: your contributions are rewarded with competitive total compensation, retirement savings support, wellness credits, enhanced parental leave, and comprehensive health benefits.

For a closer look at how you can build your career with us, we invite you to explore cclgroup.com. 

We are committed to providing an inclusive, accessible recruitment and selection process. We welcome and encourage applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the recruitment and selection process. Please contact talentacquisition@cclgroup.com if you require accommodation.

AI may be used to support certain stages of our screening & recruitment process. These tools support, but do not replace, human judgment and decision-making.

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More about this job

Responsibilities

Translate enterprise data strategy into a practical roadmap and lead the design and delivery of scalable data solutions, platforms, and significant data initiatives. Develop and coach data professionals, strengthen governance and operational resilience, and partner with investment, operations, and technology teams to improve data capabilities.

Requirements

Requires a bachelor's or master's degree in a relevant discipline, at least six years of relevant experience, and at least three years designing or delivering enterprise data solutions or related platforms. Candidates should bring technical team or project leadership, knowledge of modern data architecture and cloud platforms, practical AI and machine learning understanding, programming skills such as Python or SQL, and strong data governance and stakeholder communication capabilities.

Skills

Data Strategy
Data Architecture
Data Modeling
Data Integration
Cloud Data Platforms
Data Governance
Data Quality
Python
SQL
Artificial Intelligence
Machine Learning
Intelligent Automation
Team Leadership
Project Delivery
Stakeholder Management
Investment Management Data

Benefits

Flexible Work Practices
Social Events
Volunteering Opportunities
Continuous Learning Budget
Paid Study Days
Professional Designation Support
Retirement Savings Support
Wellness Credits
Enhanced Parental Leave
Comprehensive Health Benefits

Visa sponsorship

Not detected in the job text

Keywords

Enterprise Data Solutions
Enterprise Data Strategy
Data Roadmap
Data Architecture
Data Modeling
Integration Patterns
Data Platforms
Data Lakes
Analytics Environments
Cloud-Based Data Services
Microsoft Azure
Microsoft Fabric
Amazon Web Services
Artificial Intelligence
Machine Learning
Intelligent Automation
Python
SQL
Data Governance
Data Quality
Data Ownership
Data Lineage
Responsible AI
Investment Management
Asset Management
Financial Services
Portfolio Data
Security Data
Transaction Data
Reference Data

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Work requirements

Jobs in Canada