Job Summary The Product Data Manager is responsible for ensuring that product data, from design to end of life, is consistent, reliable, secure, and accessible. The role focuses on defining and ...
Job Summary The Product Data Manager is responsible for ensuring that product data, from design to end of life, is consistent, reliable, secure, and accessible. The role focuses on defining and ...
Product Data Manager
Brossard, QC · On-site
Job Summary The Product Data Manager is responsible for ensuring that product data, from design to end of life, is consistent, reliable, secure, and accessible. The role focuses on defining and ...
Product Data Manager
Brossard, QC · On-site
Job Summary The Product Data Manager is responsible for ensuring that product data, from design to end of life, is consistent, reliable, secure, and accessible. The role focuses on defining and ...
Manager, Data Management & Visualization
Montreal, QC · Hybrid
CA$60K - CA$70K/yr
Data Science and Analytics Position Summary You will lead and manage a small team of developers responsible for designing, developing, and maintaining interactive dashboards and data visualizations ...
Manager, Data Management & Visualization
Montreal, QC · Hybrid
CA$60K - CA$70K/yr
Data Science and Analytics Position Summary You will lead and manage a small team of developers responsible for designing, developing, and maintaining interactive dashboards and data visualizations ...
Manager, Data Science
Montreal, QC · Hybrid
About the role We are looking for a manager to join the Intact Lab - Data Science team in the AI in Operations family! This role particularly aims at supporting the development and deployment of AI ...
Manager, Data Science
Montreal, QC · Hybrid
About the role We are looking for a manager to join the Intact Lab - Data Science team in the AI in Operations family! This role particularly aims at supporting the development and deployment of AI ...
Manager, Data Science
Montreal, QC · Hybrid
About the role We are looking for a manager to join the Intact Lab - Data Science team in the AI in Operations family! This role particularly aims at supporting the development and deployment of AI ...
Manager, Data Science
Montreal, QC · Hybrid
About the role We are looking for a manager to join the Intact Lab - Data Science team in the AI in Operations family! This role particularly aims at supporting the development and deployment of AI ...
The Manager, Analytics & Data Enablement is responsible for leading a team that delivers trusted, analytics-ready data assets and self-service data capabilities that enable business reporting ...
The Manager, Analytics & Data Enablement is responsible for leading a team that delivers trusted, analytics-ready data assets and self-service data capabilities that enable business reporting ...
About the team you are joining The Global Aviation Data Management (GADM) team is responsible for the development, implementation and support of data solutions needed to monitor safety, operational ...
About the team you are joining The Global Aviation Data Management (GADM) team is responsible for the development, implementation and support of data solutions needed to monitor safety, operational ...
About the team you are joining The Global Aviation Data Management (GADM) team is responsible for the development, implementation and support of data solutions needed to monitor safety, operational ...
About the team you are joining The Global Aviation Data Management (GADM) team is responsible for the development, implementation and support of data solutions needed to monitor safety, operational ...
Initial CRM Data Review and Diagnostic: Conduct a structured review of the existing CRM database to identify duplicate records, incomplete entries, outdated contacts, and high-risk (invalid) email ...
Initial CRM Data Review and Diagnostic: Conduct a structured review of the existing CRM database to identify duplicate records, incomplete entries, outdated contacts, and high-risk (invalid) email ...
Initial CRM Data Review and Diagnostic: Conduct a structured review of the existing CRM database to identify duplicate records, incomplete entries, outdated contacts, and high-risk (invalid) email ...
Initial CRM Data Review and Diagnostic: Conduct a structured review of the existing CRM database to identify duplicate records, incomplete entries, outdated contacts, and high-risk (invalid) email ...
Initial CRM Data Review and Diagnostic: Conduct a structured review of the existing CRM database to identify duplicate records, incomplete entries, outdated contacts, and high-risk (invalid) email ...
Initial CRM Data Review and Diagnostic: Conduct a structured review of the existing CRM database to identify duplicate records, incomplete entries, outdated contacts, and high-risk (invalid) email ...
Initial CRM Data Review and Diagnostic: Conduct a structured review of the existing CRM database to identify duplicate records, incomplete entries, outdated contacts, and high-risk (invalid) email ...
Initial CRM Data Review and Diagnostic: Conduct a structured review of the existing CRM database to identify duplicate records, incomplete entries, outdated contacts, and high-risk (invalid) email ...
Initial CRM Data Review and Diagnostic: Conduct a structured review of the existing CRM database to identify duplicate records, incomplete entries, outdated contacts, and high-risk (invalid) email ...
Initial CRM Data Review and Diagnostic: Conduct a structured review of the existing CRM database to identify duplicate records, incomplete entries, outdated contacts, and high-risk (invalid) email ...
Initial CRM Data Review and Diagnostic: Conduct a structured review of the existing CRM database to identify duplicate records, incomplete entries, outdated contacts, and high-risk (invalid) email ...
Initial CRM Data Review and Diagnostic: Conduct a structured review of the existing CRM database to identify duplicate records, incomplete entries, outdated contacts, and high-risk (invalid) email ...
Initial CRM Data Review and Diagnostic: Conduct a structured review of the existing CRM database to identify duplicate records, incomplete entries, outdated contacts, and high-risk (invalid) email ...
Initial CRM Data Review and Diagnostic: Conduct a structured review of the existing CRM database to identify duplicate records, incomplete entries, outdated contacts, and high-risk (invalid) email ...
Initial CRM Data Review and Diagnostic: Conduct a structured review of the existing CRM database to identify duplicate records, incomplete entries, outdated contacts, and high-risk (invalid) email ...
Initial CRM Data Review and Diagnostic: Conduct a structured review of the existing CRM database to identify duplicate records, incomplete entries, outdated contacts, and high-risk (invalid) email ...
Initial CRM Data Review and Diagnostic: Conduct a structured review of the existing CRM database to identify duplicate records, incomplete entries, outdated contacts, and high-risk (invalid) email ...
Initial CRM Data Review and Diagnostic: Conduct a structured review of the existing CRM database to identify duplicate records, incomplete entries, outdated contacts, and high-risk (invalid) email ...
Initial CRM Data Review and Diagnostic: Conduct a structured review of the existing CRM database to identify duplicate records, incomplete entries, outdated contacts, and high-risk (invalid) email ...
Initial CRM Data Review and Diagnostic: Conduct a structured review of the existing CRM database to identify duplicate records, incomplete entries, outdated contacts, and high-risk (invalid) email ...
Initial CRM Data Review and Diagnostic: Conduct a structured review of the existing CRM database to identify duplicate records, incomplete entries, outdated contacts, and high-risk (invalid) email ...
Initial CRM Data Review and Diagnostic: Conduct a structured review of the existing CRM database to identify duplicate records, incomplete entries, outdated contacts, and high-risk (invalid) email ...
Initial CRM Data Review and Diagnostic: Conduct a structured review of the existing CRM database to identify duplicate records, incomplete entries, outdated contacts, and high-risk (invalid) email ...
Initial CRM Data Review and Diagnostic: Conduct a structured review of the existing CRM database to identify duplicate records, incomplete entries, outdated contacts, and high-risk (invalid) email ...
Data Manager information
See Quebec salary details
$26.5K - $42K
11% of jobs
$52.7K is the 25th percentile. Wages below this are outliers.
$42K - $57.5K
21% of jobs
The median wage is $70.4K / yr.
$57.5K - $73K
22% of jobs
$73K - $88.5K
16% of jobs
$94.8K is the 75th percentile. Wages above this are outliers.
$88.5K - $104K
14% of jobs
$104K - $119.5K
7% of jobs
$119.5K - $135K
4% of jobs
$135K - $150.5K
2% of jobs
$150.5K - $166K
2% of jobs
$166K - $181.5K
1% of jobs
$181.5K - $197K
0% of jobs
$26.5K
$86.1K
$197K
How much do data manager jobs pay per year?
How does a data manager typically collaborate with other departments to ensure data integrity?
What are the key skills and qualifications needed to thrive as a data manager, and why are they important?
What is the difference between Data Manager vs Data Analyst?
| Aspect | Data Manager | Data Analyst |
|---|---|---|
| Required Credentials | Bachelor's degree in IT, Computer Science, or related field; certifications like CDMP or DAMA often preferred | Bachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst are common |
| Work Environment | Typically manages data systems, databases, and teams; works in IT or data departments | Analyzes data sets, creates reports, and visualizations; often works in business or analytics teams |
| Employer & Industry Usage | Used across industries like healthcare, finance, and tech for data governance and management | Common in marketing, finance, and consulting for insights and decision-making |
While both roles involve working with data, Data Managers focus on overseeing data systems and ensuring data quality, whereas Data Analysts interpret data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.
Are data managers in demand?
What is the role of a data manager?
What are the most commonly searched types of Data jobs in Quebec?
The most popular types of Data jobs in Quebec are:
What are popular job titles related to Data Manager jobs in Quebec?
For Data Manager jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Data Manager jobs in Quebec look for?
The top searched job categories for Data Manager jobs in Quebec are:
What cities in Quebec are hiring for Data Manager jobs?
Cities in Quebec with the most Data Manager job openings:

Acuity Brands rating
5.4
Based on 9 frontline employees who took The Breakroom Quiz
156th of 161 rated electronics manufacturers
Job description
Acuity Inc. (NYSE: AYI) is a market-leading industrial technology company. We use technology to solve problems in spaces, light and more things to come. Through our two business segments, Acuity Brands Lighting (ABL) and Acuity Intelligent Spaces (AIS), we design, manufacture, and bring to market products and services that make a valuable difference in people's lives.
We achieve growth through the development of innovative new products and services, including lighting, lighting controls, building management solutions, and an audio, video and control platform. We focus on customer outcomes and drive growth and productivity to increase market share and deliver superior returns. We look to aggressively deploy capital to grow the business and to enter attractive new verticals.
Acuity Inc. is based in Atlanta, Georgia, with operations across North America, Europe and Asia. The Company is powered by approximately 13,000 dedicated and talented associates. Visit us at www.acuityinc.com.
The Product Data Manager is responsible for ensuring that product data, from design to end of life, is consistent, reliable, secure, and accessible. The role focuses on defining and deploying robust data governance processes to ensure data quality, integrity, and compliance. In addition, the Data Manager is accountable for the quality and consistency of items and product data across internal systems, such as ERP, CRM, PLM, and other critical operational systems.
The Product Data Manager is the enterprise owner of product data standards and has the authority to define, enforce, and evolve data structures, naming conventions, and data quality rules across all business units.
Product Data Management
- Ensure the structure, quality, and consistency of product data throughout the product life cycle (items, bills of materials, components, pricing, etc.).
- Populate and maintain databases according to the needs of stakeholders.
- Ensure data quality, consistency, and completeness across all internal systems (ERP, PLM, CRM, eStore).
- Act as the reference for product master data topics across Sustaining Engineering and Operations.
Data Governance
- Define and maintain a robust data governance framework with all stakeholders to ensure data reliability.
- Ensure data consistency and categorization across internal stakeholders and subsidiaries (INC, SAS, KE2, and future acquisitions).
- Own and enforce product data standards.
Item Creation & Product Lifecycle Support
- Work with R&D, Product Management, and Operations to support the creation of new items across systems (ERP, PLM).
- Maintain and update lifecycle tables and statuses based on product lifecycle stages and operational needs.
- Ensure lifecycle data supports sustaining activities such as redesign, obsolescence management, and product improvements.
Tools Implementation & Optimization
- Contribute to the implementation of monitoring and analytics tools to anticipate product maintenance needs and generate projects aligned with the strategic priorities of the Sustaining Engineering group.
- Take ownership of these tools, ensuring their maintenance, continuous improvement, and adoption.
PLM Readiness & Data transformation
- Define and own the product data model in preparation for PLM implementation.
- Coordinate and execute mock data migration and cutover rehearsals in collaboration with IT
Other
- Data Analysis & Decision Support
- Provide stakeholders with actionable, data-driven insights to identify improvement opportunities and intervention needs.
- Support the deployment and long-term operation of the PLM system.
- Technology Watch & Best Practices
- Monitor market trends and technological developments related to data management and associated tools.
- Recommend the adoption of new technologies and best practices to improve data management and operational efficiency.
- Provide data support for risk management activities within the Sustaining Engineering group.
- Master's degree or DEC with a specialization in Data Analysis, Data Management, or equivalent
- 5 to 10 years in a similar role preferred
- End-to-end understanding of BMS product manufacturing
- Strong expertise in SQL query development
- Office & BI tools: Microsoft Office, Excel, Power BI, Domo
- Self-confidence and autonomy
- Strong analytical mindset
- Clear and effective communication
- Bilingual French and English: To serve clients and external service providers across Canada and USA
0-25%
#LI-DR1
We value diversity and are an equal opportunity employer. All qualified applicants will be considered for employment without regards to race, color, age, gender, sexual orientation, gender identity and expression, ethnicity or national origin, disability, pregnancy, religion, covered veteran status, protected genetic information, or any other characteristic protected by law.
Accommodation for Applicants with Disabilities: As an equal opportunity employer, Acuity Brands is committed to providing reasonable accommodations in its application process for qualified individuals with disabilities and disabled veterans. If you have difficulty using our online system due to a disability and need an accommodation, you may contact us at (770) 922-9000, select option 4. Please clearly indicate what type of accommodation you are requesting and for what requisition.
Any unsolicited resumes sent to Acuity Inc. from a third party, such as an Agency recruiter, including unsolicited resumes sent to an Acuity Inc. mailing address, fax machine or email address, directly to Acuity Inc. employees, or to Acuity Inc. resume database will be considered Acuity Inc. property. Acuity Inc. will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.
Knowledge of French is required for positions permanently located in Quebec so incumbents can communicate with their colleagues and suppliers in Quebec as necessary. French-language training is offered to all incumbents in permanent positions in Quebec who do not have a good knowledge of French.
Acuity Inc. will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees. This includes any Agency that is an approved/engaged vendor but does not have the appropriate approvals to be engaged on a search.
What Acuity Brands employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Acuity Brands
Sourced by ZipRecruiter
Industry
Electrical equipment, appliance, and component manufacturing
Company size
10,000+ Employees
Headquarters location
Atlanta, GA, US
Year founded
2001