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Data Manager Jobs in Edmonton, AB (NOW HIRING)

CASA Mental Health

Evaluation and Data Analyst

Edmonton, AB · On-site

CA$34.99 - CA$45.74/hr

Knowledge of data quality management practices. * Advanced skills in Microsoft Office Suite. Qualifications and Experience * Master's degree or PhD in a health-related field, such as epidemiology ...

New

Blend360

AI and Data Engineer

Edmonton, AB

You will work alongside researchers, data scientists, and product engineers in a small, high-trust team where curiosity and ownership are the norm. What You Will Do * Design and build a scalable ...

KPMG

Senior Manager, HR Analytics

Edmonton, AB · On-site

Support HR data governance and data management practices, ensuring the integrity, quality, privacy, and responsible use of workforce data across systems and reporting platforms. * Collaborate with HR ...

Posted today

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Showing results 21-40

All JobsData JobsData Manager JobsData Manager Jobs in Edmonton, AB

Data Manager information

See Edmonton, AB salary details

$26.5K

$86.1K

$197K

How much do data manager jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data manager in Edmonton, AB is $86,113.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,000.00 and $100,000.00 per year, depending on experience, location, and employer.

How does a data manager typically collaborate with other departments to ensure data integrity?

As a Data Manager, collaboration with various departments—such as IT, analytics, and operations—is essential to maintain data integrity and consistency. You’ll regularly coordinate with these teams to establish data governance protocols, resolve discrepancies, and ensure that data collection and storage meet organizational standards. Open communication and regular meetings help address data quality issues and align data management practices across the organization. This cross-functional work not only supports accurate reporting but also drives better decision-making company-wide.

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

To thrive as a Data Manager, you need expertise in data management principles, database administration, and data governance, often supported by a bachelor's degree in computer science or a related field. Familiarity with SQL, data warehousing tools, data visualization platforms, and certifications like CDMP or DAMA are typically required. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for ensuring data integrity and collaborating with stakeholders. These skills and qualifications are crucial for maintaining secure, accurate data systems and supporting informed business decisions.

What is the difference between Data Manager vs Data Analyst?

AspectData ManagerData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications like CDMP or DAMA often preferredBachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentTypically manages data systems, databases, and teams; works in IT or data departmentsAnalyzes data sets, creates reports, and visualizations; often works in business or analytics teams
Employer & Industry UsageUsed across industries like healthcare, finance, and tech for data governance and managementCommon 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?

Data managers are in high demand across various industries due to the increasing reliance on data-driven decision making. They typically require strong skills in database management, data analysis, and familiarity with tools like SQL and data visualization software, making their role essential for organizations managing large data sets.

What is the role of a data manager?

A data manager is responsible for overseeing the collection, storage, organization, and maintenance of data within an organization. They ensure data quality, security, and accessibility, often using database management tools and following data governance standards. Their role supports data analysis and decision-making processes.
More about Data Manager jobs

What are the most commonly searched types of Data jobs in Edmonton, AB?

The most popular types of Data jobs in Edmonton, AB are:

What job categories do people searching Data Manager jobs in Edmonton, AB look for?

The top searched job categories for Data Manager jobs in Edmonton, AB are:

What cities near Edmonton, AB are hiring for Data Manager jobs?

Cities near Edmonton, AB with the most Data Manager job openings:

Data Manager jobs near you
Infographic showing various Data Manager job openings in Edmonton, AB as of August 2026, with employment types broken down into 84% Full Time, 11% Part Time, and 5% Contract. Highlights an 100% In-person job distribution, with an average salary of $86,113 per year, or $41.4 per hour.

Data Architect - Senior (REMOTE) JP994

P@thlion Staffing Careers

Edmonton, AB • Remote

Full-time

Posted 3 days ago

New

Job description

Project Name:
JIMS 3.0 (Justice Information Management System)
Scope:
Justice Information Management System (JIMS) 3.0 is a data integration project aimed to amalgamate, re-design and implement several disjointed reporting data marts containing court data into an Enterprise Data Warehouse (EDW) and a set of dependent data mart and views. This project will replace the existing six stand-alone IBM Cognos BI data marts JIMS, Crown File Ownership (CFO), Court Case Management (CCM), Courtroom Utilization, Courtroom Activity, and Case Adjournment) with a well-integrated data warehouse. The existing data marts extract, process, re-structure and aggregate data required for strategic, operational and ad hoc reporting of court data stored in the Justice Online Information Network (JOIN) database. The goal of the project is to evolve availability, governance and reporting of court data by implementing a more efficient, user-friendly, faster and cost-effective reporting architecture. The following benefits will be realized through the project:
Integrated and dynamic architecture
Interactive reporting
Reporting lag
Preservation of historical data
Improved data governance
This Senior Data Architect role will:
review existing data marts,
perform detailed data profiling,
analyze and create design and mapping specifications,
identify Dimensions required for Facts,
complete detailed data profiling of tables included in Facts,
develop and test Extract Transform Load (ETL) processes,
develop Power BI reports for testing for several Dimensions,
testing of Dimensions and Fact for quality assurance
update JOIN as-is data models for new Fact attributes,
stage the required data
address minor fixes in delivered data marts,
provide feedback and lessons learned at project close out.
Duties:
Facilitate the effective definition and management of the data architecture (e.g. principles, strategies, architectures, methods, design principles, models, standards, guidelines, plans, etc.);
Encourage data models and practices that reduce data redundancy by promoting reuse/sharing (in keeping with the IMT strategy);
Identify and document enterprise data requirements;
Encourage practices that improve data quality;
Develop and lead the transition plans that will guide current data to its ideal future state;
Lead or assist in communication activities surrounding the Sectors and Government of Alberta Enterprise Architecture (GAEA) data architecture;
Contribute to the definition and development of the enterprise architecture framework, and associated corporate solution design and delivery methods, thus improving the proactive alignment of data architecture;
Respond to requests for extensions to the scope of the data architecture;
Provide information, advice, guidance, and consultancy to initiatives/projects that are defining or aligning to the data architecture – thus promoting compliance to the data architecture and IMT strategies;
Establish and participate in design reviews, regular or ad-hoc architectural reviews – ensuring correct interpretation of the data architecture, and IMT strategies; and
Provide support to other members of the enterprise architecture team as required