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2,731

Data jobs in Canada

Master Data Management Senior Consultant

Deloitte Canada

Toronto
Hybrid
CAD 80,000 - 138,000
11 days ago
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ISL 27R - Senior Analytics Data Engineer

Government of British Columbia

Burnaby
Hybrid
CAD 80,000 - 100,000
11 days ago

Senior Analyst, Advanced Analytics (Citizen Data Scientist)

Fidelity Canada

Toronto
Hybrid
CAD 70,000 - 90,000
11 days ago

Senior Advisor, Operational and Real Estate Data Valorization

Desjardins Group

Montreal
Hybrid
CAD 60,000 - 80,000
11 days ago

Data Solutions Specialist

British Columbia Securities Commission

Vancouver
Hybrid
CAD 83,000 - 135,000
11 days ago
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Data Analyst

Canopy Growth

Smiths Falls
Hybrid
CAD 70,000 - 90,000
11 days ago

Senior Data Center Construction Contract Analyst

Equinix

Toronto
On-site
CAD 90,000 - 120,000
11 days ago

Data Analyst

Canopy Growth

Toronto
Hybrid
CAD 70,000 - 90,000
11 days ago
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Senior Data Engineer - Assistant Vice President

Citi

Mississauga
On-site
CAD 85,000 - 120,000
11 days ago

Data Analyst

Farm Boy

Ottawa
On-site
CAD 55,000 - 75,000
11 days ago

Financial Data Valorization Analyst

Desjardins Group

Montreal
Hybrid
CAD 75,000 - 90,000
11 days ago

Manager, Data & AI Risk Audit

RBC

Toronto
On-site
CAD 90,000 - 120,000
11 days ago

Corporate Clerk - Data Integrity

Gowling WLG

Calgary
Hybrid
CAD 70,000 - 90,000
11 days ago

Senior Data Scientist, Eleks

Eleks

Montreal
On-site
CAD 80,000 - 143,000
11 days ago

Data & AI Practice Lead

Lantern

Toronto
On-site
CAD 80,000 - 100,000
11 days ago

Data Partnerships Manager

MedChart Inc.

Toronto
On-site
CAD 80,000 - 100,000
11 days ago

Clinical Data Manager

WEP Clinical

Montreal
On-site
CAD 70,000 - 90,000
11 days ago

Python and Kubernetes Software Engineer - Data, AI/ML & Analytics

Canonical

Trois-Rivières
Remote
CAD 80,000 - 100,000
11 days ago

Business Development Manager

Dept Data

Toronto
On-site
CAD 70,000 - 90,000
11 days ago

Senior Software Engineer - Market Data

Alpaca

Toronto
On-site
CAD 100,000 - 130,000
11 days ago

Business Systems Analyst – Data & Analytics

Civeo

Edmonton
On-site
CAD 80,000 - 100,000
11 days ago

Sr Consultant Data Science & Analytics

Clarity Hiring

Burlington
Hybrid
CAD 85,000 - 105,000
11 days ago

Technology and Data Auditor

Servus Credit Union

Red Deer
Hybrid
CAD 90,000 - 110,000
11 days ago

Remote Online Consumer Research Panelist (Part-Time) - Data Entry Clerk Welcome

ApexFocusGroup LLC

Calgary
Remote
CAD 30,000 - 60,000
11 days ago

Health, Safety & Environmental (HS&E) Coordinator - Data Centre

EllisDon Corporation

Toronto
On-site
CAD 70,000 - 90,000
11 days ago

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Master Data Management Senior Consultant
Deloitte Canada
Toronto
Hybrid
CAD 80,000 - 138,000
Full time
11 days ago

Job summary

A leading professional services firm in Toronto is seeking a Senior Consultant in Master Data Management. This role focuses on delivering data management solutions, integrating data, and supporting clients in AI transformations. Candidates should have 3+ years of experience in data governance and integration, with a Bachelor's degree in relevant fields. The position offers a hybrid work model and competitive salary ranging from $80,000 to $138,000.

Benefits

$4,000 for mental health support benefits
$1,300 flexible benefit spending account
Development and Innovation Days

Qualifications

  • 3+ years’ experience in implementing multi-domain Master Data Management solutions.
  • 3+ years’ experience with data integration capabilities using leading integration platforms.
  • 2+ years’ experience with data mapping, conversion and profiling.

Responsibilities

  • Define and implement Master Data Management solutions.
  • Participate in data integration solutions development.
  • Simplify technical concepts for non-technical stakeholders.

Skills

Data integration
Data governance
Problem-solving
Analytical skills
Communication

Education

Bachelor's Degree in Computer Science or related fields

Tools

Informatica MDM
SAP MDG
Mulesoft
Job description
Master Data Management Senior Consultant

Date: Sep 2, 2025

Location: Toronto, ON, CA, M5C 3G7

Job Type:Permanent
Work Model:
Hybrid
Reference code:
130212
Primary Location:
Toronto, ON
All Available Locations:
Toronto, ON

Our Purpose

At Deloitte, our Purpose is to make an impact that matters. We exist to inspire and help our people, organizations, communities, and countries to thrive by building a better future. Our work underpins a prosperous society where people can find meaning and opportunity. It builds consumer and business confidence, empowers organizations to find imaginative ways of deploying capital, enables fair, trusted, and functioning social and economic institutions, and allows our friends, families, and communities to enjoy the quality of life that comes with a sustainable future. And as the largest 100% Canadian-owned and operated professional services firm in our country, we are proud to work alongside our clients to make a positive impact for all Canadians.

By living our Purpose, we will make an impact that matters.

  • Learn from deep subject matter experts through mentoring and on the job coaching
  • Partner with clients to solve their most complex problems
  • Be empowered to lead and have impact with clients, our communities and in the office.
About the team

Omnia AI, Deloitte’s Artificial Intelligence (AI) practice is comprised of a collaborative team of experts who use their hands-on experience with cutting-edge information assets to facilitate successful AI transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

Our Data Modernization & Analytics team helps clients design and implement the data platform architectures – be it in the cloud or on-premise – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverages a different mix of traditional and innovative technologies to achieve business outcomes.

What will your typical day look like?

As an Master Data Management (MDM) Senior Consultant on our Data Modernization & Analytics team within the Omnia AI practice, you are passionate about data and technology solutions, are driven to learn about them and keep up with market evolution. You will play an active role throughout the entire engagement cycle, specializing in data management solutions including data integration, data conversion, master data/reference data management, data governance, data quality etc. You are enthusiastic about all things data, have strong problem-solving and analytical skills, are tech savvy and have a solid understanding of software development.

In this role, you will actively participate, define and implement multi-domain (i.e. customer, supplier, equipment, product, parts, materials, locations, etc.) Master Data Management solutions as well as data conversion approaches to enable ERP and Asset Management modernization. You will also define and implement master data frameworks, spanning metadata management, data quality management, reference data management, data management policies and operating models as well as actively participate in the development of data integration solutions, including data source mapping, data integration, conversion and data modeling.

About the team

Omnia AI, Deloitte’s Artificial Intelligence (AI) practice is comprised of a collaborative team of experts who use their hands-on experience with cutting-edge information assets to facilitate successful AI transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

Enough about us, let’s talk about you

You are someone with:

  • 3+ years’ experience in implementing multi-domain Master Data Management and Data Governance solutions, either as stand-alone programs or integrated into larger transformational ERP programs using Informatica MDM, SAP MDG, Reltio MDM, Ataccama MDM, Stibo MDM and/or similar technologies.
  • 3+ years’ experience with analysis, design, development, testing and deployment of data integration capabilities using leading integration platforms like Informatica, Mulesoft, IBM Data Stage, SAP Data Services and/or other comparable data integration technologies
  • 2+ years’ experience with data mapping, data conversion and data profiling
  • Ability to simplify complex technical concepts into easy-to-understand non-technical language to facilitate, communicate and interact with executives and business stakeholders, working with Agile development methods in data-oriented projects
  • Completed Bachelor’s Degree (or higher) in quantitative areas such as Computer Science, Information Management, or related fields
  • Certifications in Azure, AWS, Informatica and/or GCP and Cloud data integration technologies is highly desirable
Total Rewards

The salary range for this position is $80,000 - $138,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people\'s unique strengths and contributions and rewarding the value that they deliver.

Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. On top of our regular paid vacation days, some examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, firm-wide closures known as "Deloitte Days", dedicated days of for learning (known as Development and Innovation Days), flexible work arrangements and a hybrid work structure.

Our promise to our people: Deloitte is where potential comes to life.

Be yourself, and more.

We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.

Be yourself, and more.

We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.

We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.

We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process or indigenouscareers@deloitte.ca for any questions relating to careers for Indigenous peoples at Deloitte. By applying to this job you will be assessed against the Deloitte Global Talent Standards.

Deloitte Canada has 20 offices with representation across most of the country. We acknowledge that Deloitte offices stand on traditional, treaty, and unceded territories in what is now known as Canada. We recognize that Indigenous Peoples have been the caretakers of this land since time immemorial, nurturing its resources and preserving its natural beauty. We acknowledge this land is still home to many First Nations, Inuit, and Métis Peoples, who continue to maintain their deep connection to the land and its sacred teachings. We humbly acknowledge that we are all Treaty people, and we commit to fostering a relationship of respect, collaboration, and stewardship with Indigenous communities in our shared goal of reconciliation and environmental sustainability.

Job Segment: Data Conversion, Cloud, Management Consulting, Data Management, Data Modeler, Data, Technology, Management

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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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