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1,403

Business Intelligence jobs in Canada

Manager, Data Science & Artificial Intelligence

British Columbia Institute of Technology

Burnaby
On-site
CAD 90,000 - 120,000
30+ days ago
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RQ08930 - Business Intelligence Specialist - Senior

Rubicon Path

Toronto
On-site
CAD 80,000 - 100,000
30+ days ago

RQ07955 - Sr. Data Analytical Specialist/Scientist

Rubicon Path

Toronto
On-site
CAD 80,000 - 110,000
30+ days ago

Solutions Architect

Viral Nation

Canada
On-site
CAD 90,000 - 120,000
30+ days ago

RQ09219 - Business Analyst

Rubicon Path

Toronto
On-site
CAD 90,000 - 120,000
30+ days ago
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RQ08950 - Software Developer - Senior

Rubicon Path

Toronto
Hybrid
CAD 100,000 - 130,000
30+ days ago

Senior Lottery Performance Analyst

OLG

Sault Ste. Marie
Hybrid
CAD 66,000 - 100,000
30+ days ago

Senior Lottery Performance Analyst

OLG

Toronto
Hybrid
CAD 66,000 - 100,000
30+ days ago
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RQ08581 - Report Developer - Senior

Rubicon Path

Toronto
On-site
CAD 80,000 - 100,000
30+ days ago

Senior Strategy Manager (Strategy & Enablement)

Intello Technologies Inc.

Vancouver
On-site
CAD 102,000 - 154,000
30+ days ago

RQ08375 - Business Analyst - Senior

Rubicon Path

Toronto
Hybrid
CAD 100,000 - 130,000
30+ days ago

Sales Associate

ISS

Toronto
On-site
CAD 60,000 - 80,000
30+ days ago

RQ08951 - Software Developer - Senior

Rubicon Path

Toronto
On-site
CAD 100,000 - 130,000
30+ days ago

RQ09097 - Business Intelligence Specialist - Senior

Rubicon Path

Toronto
On-site
CAD 80,000 - 110,000
30+ days ago

Project Manager, Strategy, Field Services

Bell

Montreal
On-site
CAD 70,000 - 110,000
30+ days ago

Data Engineer

Deloitte Canada

Montreal
Hybrid
CAD 57,000 - 102,000
30+ days ago

Senior Market Intelligence Analyst

Perkins&Will

Toronto
On-site
CAD 90,000 - 110,000
30+ days ago

Director, Decision Intelligence and Emerging Technologies

Porter Airlines Inc.

Toronto
Hybrid
CAD 120,000 - 150,000
30+ days ago

RQ08739 - Business Intelligence Specialist - Senior

Rubicon Path

Toronto
On-site
CAD 90,000 - 120,000
30+ days ago

RQ08480 - Data Analytical Specialist/Scientist - Junior

Rubicon Path

Toronto
On-site
CAD 60,000 - 80,000
30+ days ago

Manager, Data Analysis and Reporting

Aviva

Markham
Hybrid
CAD 90,000 - 110,000
30+ days ago

Instructor DASA 3P31 Winter D3

Brock University

Lincoln
On-site
CAD 30,000 - 60,000
30+ days ago

Financial Analyst, GAM Finance

RBC

Toronto
On-site
CAD 60,000 - 80,000
30+ days ago

Consultant en commerce de détail (Contrat)/ Retail Business Consultant (Contract)

IQVIA SOLUTIONS CANADA INC (CA03)

Kirkland
On-site
CAD 60,000 - 80,000
30+ days ago

data engineer

Annex IT Solutions

Toronto
On-site
CAD 75,000 - 89,000
30+ days ago

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Manager, Data Science & Artificial Intelligence
British Columbia Institute of Technology
Burnaby
On-site
CAD 90,000 - 120,000
Full time
30+ days ago

Job summary

A leading educational institution in Metro Vancouver is seeking a full-time Manager of Data Science & Artificial Intelligence. This role includes managing corporate data governance, overseeing reporting platforms like IBM Cognos, and leading AI initiatives. The ideal candidate will have a bachelor's degree, over five years of project management experience, and proficiency in SQL and data visualization tools. Join a team committed to innovation and career growth.

Benefits

Competitive pay
Flexible hybrid work arrangements
Health and dental plan
Wellness programs

Qualifications

  • Minimum 5 years' direct experience in project management.
  • Proficiency in SQL and database management systems.
  • Experience with data visualization tools such as Tableau and Power BI.

Responsibilities

  • Establish corporate data governance and management programs.
  • Oversee operational reporting systems and AI initiatives.
  • Manage the lifecycle of reporting database systems and ensure optimal performance.

Skills

SQL programming
Data lake management
Project management
Data visualization
Statistical analysis
AI governance principles
Leadership skills

Education

Bachelor’s Degree in Computer Science

Tools

IBM Cognos
Microsoft SQL
Tableau
TensorFlow
Job description
Manager, Data Science & Artificial Intelligence

Position Title Manager, Data Science & Artificial Intelligence

Who We Are

At BCIT, putting people at the core of everything we do is paramount. This idea is the foundation of BCIT’s People Vision, which describes the Institute’s goals and priorities in respect to our people. In a complex and uncertain world, it’s vital our people feel valued, supported and connected. BCIT champions a culture of innovation and global progress through people’s imagination and creativity. With a competitive compensation package, great work-life balance, and career advancement opportunities, see why we’ve earned the title of one of BC’s Top Employers for over ten years running.

Position Summary

BCIT’s Information Technology Services department is seeking a regular, full-time (1.0 FTE) Manager, Data Science & Artificial Intelligence. This position establishes and implements a corporate data model, data management, data governance, data warehousing and architecture programs for the Institute in alignment with the organizational priorities, plans, goals and strategic decision making. Oversees the Institute’s operational reporting systems, including IBM Cognos, IBM TM1, and Millennium FAST Reports and associated Oracle and Microsoft SQL databases. Leads the development and governance of Artificial Intelligence (AI) initiatives across the Institute ensuring ethical, transparent, and responsible use of AI technologies are in alignment with institutional goals and regulatory standards.

Key Accountabilities
  • Participates as a member of the Enterprise Application Services leadership team, contributing to the development and implementation of the ITS strategic plan, business and operational plans, and sharing responsibility for achievements and success.
  • Establishes and manages the implementation of a corporate data modelling and data management program to support and align with organizational goals, requirements and business operations.
  • Manages the operational reporting platforms (IBM Cognos, IBM TM1, Millennium FAST Reports), ensuring their effective use in supporting business intelligence, financial planning, and institutional reporting. Manages the lifecycle of reporting database systems (Oracle, MSSQL) including installation, configuration, upgrades, patching, and decommissioning to ensure optimal performance and reliability. Generates data science initiatives to solve complex business problems and develops plans for data warehousing solutions to support business intelligence and ensuring efficient data storage, retrieval, and processing.
  • Promotes data analytics initiatives that align with business and user needs. Influences and manages the architecting, development and deployment of data related initiatives, including data transformation scripts, data lakes/warehouses and data analytic dashboards.
  • Defines, creates and manages the implementation of best practice data governance practices, standards, policies and procedures for use across the Institute.
  • Collaborates with all areas of the Institute to facilitate greater utilization of data by establishing definitions and system structures for robust reporting requirements while upholding the integrity of data, data governance and consistency in practice. Ensures data and AI governance, ethics, practices and information security meets the strictest of standards, fairness, transparency, accountability and is adhered to for data protection, responsible use, privacy and related laws and regulations.
  • Leads the design, development, and deployment of AI solutions to support institutional priorities. Translates business needs into AI solutions and communicates technical concepts to non-technical partners. Monitors AI models for performance, bias, and compliance with privacy and regulatory standards.
  • Collaborates with academic, administrative, and technical teams to identify opportunities for AI driven innovation and automation to advance data architecture, analytics and robust reporting.
  • Plans and incorporates new and innovative technologies for database infrastructures and advancements; manages the development and adherence of comprehensive database security policies and protocols to protect sensitive data from unauthorized access and breaches.
  • Stays current and keeps pace with evolving technology and platforms in the data science and analytical landscape.
  • Manages staff, overseeing and participating in selection, coaching, mentoring, development, performance management and other people-management practices.
Qualifications & Requirements
  • Bachelor’s Degree in Computer Science, Business or a related field.
  • Minimum 5 years’ direct experience including 5 years of advanced project management experience. An equivalent combination of education and experience may be considered.
  • Proficiency in SQL programming and database management systems (e.g., Microsoft SQL, Oracle). Strong knowledge of data lake and warehousing concepts and tools (e.g., Microsoft Fabric, Hadoop, Snowflake).
  • Experience managing enterprise reporting platforms such as IBM Cognos, IBM TM1, and Millennium FAST Reports, including report development, system administration, and user support.
  • Experience with data visualization tools (e.g., Tableau, Power BI). Strong understanding of operational reporting workflows and their integration with institutional data systems.
  • Advanced statistical analytical skills and machine learning with an ability to apply sound judgment in problem solving, evaluating courses of action, and making recommendations and/or decisions.
  • Familiarity with programming languages such as Python, R, and SAS and cloud-based AI platforms (e.g., Azure, ML, AWS SageMaker) and an ability to develop predictive models and algorithms.
  • Advanced leadership and mentorship experience along with strong interpersonal, written, and oral communication skills, with the ability to communicate effectively with all levels of staff, clients, and customers.
  • Advanced experience in developing and deploying AI models using machine learning frameworks (e.g., TensorFlow, PyTorch).
  • Advanced knowledge of AI governance principles, including ethical considerations and regulatory compliance.
  • Demonstrated commitment to responsible and inclusive AI practices.
Benefits – Why you’d love working with us
  • Competitive pay
  • Minimum of twenty-five days of vacation
  • Competitive employer-paid extended health and dental plan including access to a Health Care Spending Account of up to $500 if eligible!
  • Defined benefit pension plan with employer contributions
  • Flexible hybrid work arrangements available
  • Access to most BCIT Flexible Learning courses free of charge
  • Wellness and Employee Assistance programs
  • Complimentary membership with free access to the Fitness Centre, Gymnasium, and more
  • Eligibility requirements apply, benefits may vary depending on the employee group the position belongs to and whether the position offered is temporary or part-time. For more information on our generous benefits, click here !

BCIT is committed to the principles of equity, diversity & inclusion and to promoting opportunities in hiring for systemically oppressed groups who have been excluded from full participation at BCIT and the larger community. This includes Indigenous Peoples, women, racialized persons, persons with disabilities and those who identify as 2S/LGBTQIA+. All qualified candidates are encouraged to apply; however, Canadian citizens and permanent residents will be given priority.

Persons with disabilities who require accommodation for any part of the application or hiring process should contact us using our contact form . Please note that all applications must be submitted via the careers page portal. Applications submitted through the contact form will not be accepted. For additional information, please visit our frequently asked questions (FAQs) page and see how we hire .

British Columbia Institute of Technology acknowledges that our campuses are located on the unceded traditional territories of the Coast Salish Nations of xwməθkwəy̓əm (Musqueam), Sḵwx̱wú7mesh (Squamish), and səl̓ilwətaɁɬ (Tsleil-Waututh).

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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