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Master Data Manager Jobs in Toronto, ON (NOW HIRING)

Ensure that the industrial Master Data are well implemented in the different systems (PLM, ERP, MES ... Manage technical data for all part involved in project execution to ensure all these parts are ...

Industrial Data Management Specialist

Toronto, ON · On-site

  • Medical

  • Life

  • Retirement

Ensure that the industrial Master Data are well implemented in the different systems (PLM, ERP, MES ... Manage technical data for all part involved in project execution to ensure all these parts are ...

Establish and enforce data quality standards, metadata management, and master data governance. * Ensure scalable, secure, and high-performance data environments that support business growth. Business ...

Vendor Management Lead

Toronto, ON · On-site

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Drive vendor master data strategy through routine audits, monitoring vendor activity trends ... Proven experience managing end-to-end vendor onboarding, vendor master data governance, and ...

Solving master and reference data issues based on exception handling, 4-5 years * Applying operational data management and data governance, 2-3 years * Process design and engineering experience, 1-2 ...

Lead initiatives focused on data quality, metadata management, master data management, and compliance. * Establish trusted and governed data assets that support analytics and responsible AI adoption.

Junior Planner

Oakville, ON · On-site

CA$55K - CA$65K/yr

Support the setup and management of Master data for new product development * Plan and execute prototype and production planning and assembly execution to schedule * Participate in continuous ...

Showing results 41-60

Master Data Manager information

See Toronto, ON salary details

$67.8K

$112.4K

$162.2K

How much do master data manager jobs pay per year?

As of Aug 18, 2026, the average yearly pay for master data manager in Toronto, ON is $112,355.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,753.00 and $135,039.00 per year, depending on experience, location, and employer.

What is a master data manager?

A Master Data Manager is a professional responsible for overseeing an organization’s critical business data, ensuring its accuracy, consistency, and security across various systems. They develop and implement policies and processes for managing master data, such as customer, product, or supplier information. Their role often involves data governance, quality control, and collaborating with different departments to maintain data integrity. Master Data Managers help organizations make informed decisions by providing reliable data and supporting compliance with regulatory requirements.

How does a master data manager typically collaborate with other departments to ensure data consistency across the organization?

A Master Data Manager works closely with teams such as IT, finance, operations, and sales to establish and enforce data governance policies. They facilitate regular communication to align data standards and resolve discrepancies, often leading cross-functional meetings to address data quality issues. By collaborating on data integration projects and implementing best practices, Master Data Managers ensure that all departments have access to accurate and consistent information, which is crucial for decision-making and operational efficiency.

What are the key skills and qualifications needed to thrive as a master data manager, and why are they important?

To thrive as a Master Data Manager, you need expertise in data governance, data quality management, and strong analytical skills, typically supported by a degree in information systems or a related field. Familiarity with master data management (MDM) platforms like Informatica or SAP MDG, and certifications in data management are highly beneficial. Exceptional communication, attention to detail, and project management abilities help you collaborate across departments and drive data initiatives. These skills ensure accurate, consistent, and reliable data that supports business decision-making and operational efficiency.

What is the difference between Master Data Manager vs Data Analyst?

AspectMaster Data ManagerData Analyst
Required CredentialsBachelor's degree in Business, IT, or related field; certifications like CDMP or DAMABachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst
Work EnvironmentData management teams, IT departments, enterprise systemsBusiness units, analytics teams, reporting departments
Employer & Industry UsageFinance, healthcare, retail, manufacturingMarketing, finance, consulting, technology

The Master Data Manager focuses on maintaining and governing core data assets across an organization, ensuring data accuracy and consistency. In contrast, a Data Analyst interprets data to generate insights and support decision-making. While both roles require data-related skills, the Master Data Manager emphasizes data governance and management, whereas the Data Analyst emphasizes data analysis and reporting.

How much does a master data manager make?

The average salary for a master data manager in the United States ranges from $80,000 to $130,000 annually, depending on experience, industry, and location. Professionals with certifications in data management tools and strong analytical skills tend to earn higher salaries.

What cities near Toronto, ON are hiring for Master Data Manager jobs?

Cities near Toronto, ON with the most Master Data Manager job openings:

Infographic showing various Master Data Manager job openings in Toronto, ON as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $112,355 per year, or $54 per hour.

Data Analyst (Financial Planning and Analysis) - Canada

Tiger Analytics Inc.

Toronto, ON

Full-time

Re-posted 2 days ago


Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Data Analytics, Data Engineering, Business Intelligence, Machine Learning and AI. Various market research firms, including Forrester and Gartner have recognized our business value and leadership.

We are seeking a highly motivated Data Analyst with strong data engineering and analytics experience to support business stakeholders in driving data-driven decision-making. The ideal candidate will possess strong expertise in SQL, Snowflake, Databricks, and Python, along with hands-on experience working with financial reconciliation data, including transaction, ledger, and procurement datasets

Job Duties:

  • Partner with business stakeholders to gather, analyze, and document data requirements.
  • Perform data profiling, data mapping, and data quality assessments across multiple source systems.
  • Develop complex SQL queries and data models to support reporting, reconciliation, and analytical initiatives.
  • Work with Snowflake and Databricks to design, transform, and manage large-scale datasets.
  • Build and maintain Python-based data processing and validation workflows.
  • Analyze financial reconciliation data, including transactions, general ledger, accounts payable, procurement, and related financial datasets.
  • Identify data discrepancies and support reconciliation processes through root cause analysis.
  • Collaborate with business, data engineering, and technology teams to ensure data accuracy and consistency.
  • Support data governance, metadata management, and documentation activities.

Requirements

  • 6+ years of experience in Data Analytics, Business Intelligence, or Data Engineering roles.
  • Strong hands-on experience with SQL, Snowflake, Databricks, and Python.
  • Experience in data mapping, data profiling, data validation, and data quality management.
  • Mandatory experience working with financial reconciliation data.
  • Strong understanding of transaction-level data, general ledger (GL), procurement, accounts payable/receivable, and financial reporting processes.
  • Experience supporting finance, accounting, or enterprise reconciliation initiatives is highly preferred.
  • Experience working in cloud-based data environments.
  • Exposure to data governance and master data management practices.
  • Familiarity with financial controls, audit, or reconciliation frameworks.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.