ZipRecruiter

Log In

1

Data Manager Jobs in Alberta (NOW HIRING)

Vallen

Scope of Position The Vendor Master Data Specialist is a full-time role responsible for establishing and executing foundational vendor data management practices across the organization. This position ...

Finning

Procurement Data Specialist

Edmonton, AB · On-site

Manage and optimize procurement data and systems by maintaining the integrity of supplier, item, and related master data within the enterprise resource planning (ERP) system, while supporting overall ...

Finning

Procurement Data Specialist

Calgary, AB · On-site

Manage and optimize procurement data and systems by maintaining the integrity of supplier, item, and related master data within the enterprise resource planning (ERP) system, while supporting overall ...

NRG Energy

Data Scientist

Edmonton, AB · On-site

This role partners closely with Customer Care, Collections, Billing, Workforce Management ... Data & Technical Delivery * Acquire, integrate, and prepare data from multiple sources for ...

NRG

Data Scientist

Calgary, AB

This role partners closely with Customer Care, Collections, Billing, Workforce Management, Technology, and Business Leadership teams to transform data into actionable insights and scalable solutions.

HUB

Data Scientist

Edmonton, AB · On-site

... management specialists that bring clarity to a changing world with tailored solutions and ... As the Data Scientist , you are the technical engine of a small, high-leverage analytics function.

HUB

Data Scientist

Red Deer, AB · On-site

... management specialists that bring clarity to a changing world with tailored solutions and ... As the Data Scientist , you are the technical engine of a small, high-leverage analytics function.

NRG Energy

Data Scientist

Calgary, AB · On-site

This role partners closely with Customer Care, Collections, Billing, Workforce Management ... Data & Technical Delivery * Acquire, integrate, and prepare data from multiple sources for ...

Strathcona Resources Ltd

Data Analyst

Calgary, AB · On-site

Oil and gas industry experience; experience with Maximo or similar enterprise asset/work management ... Understanding of data lake concepts * Demonstrated ability to work with raw data, assess data ...

Mount Royal University

Data Engineer

Calgary, AB · On-site

Architect and manage the cloud data infrastructure on Microsoft Fabric, ensuring high availability, security, and performance. Execute hands-on ELT/ETL and BI development delivery tasks, specifically ...

Colliers

Data Coordinator

Calgary, AB · On-site

As a Data Coordinator, you'll play a pivotal role in managing and validating market information within our platform. Your responsibilities will include sourcing and updating listing availability ...

Colliers

Data Coordinator

Calgary, AB · On-site

As a Data Coordinator, you'll play a pivotal role in managing and validating market information within our platform. Your responsibilities will include sourcing and updating listing availability ...

previous pagenext page

Showing results 21-40

All JobsData JobsData Manager JobsData Manager Jobs in Alberta

Data Manager information

See Alberta salary details

$26.5K

$86.1K

$197K

How much do data manager jobs pay per year?

As of Sep 10, 2026, the average yearly pay for data manager in Alberta 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 Alberta?

The most popular types of Data jobs in Alberta are:

What job categories do people searching Data Manager jobs in Alberta look for?

The top searched job categories for Data Manager jobs in Alberta are:

What cities in Alberta are hiring for Data Manager jobs?

Cities in Alberta with the most Data Manager job openings:

Data Manager jobs near you
Infographic showing various Data Manager job openings in Alberta as of August 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $86,113 per year, or $41.4 per hour.

Data Engineer - Senior (REMOTE) JP991

Edmonton, AB • Remote

P@thlion Staffing Careers
See more jobs at P@thlion Staffing Careersexternal

Full-time

Posted 28 days ago

Job description

Project Name:

Digital Regulatory Assurance System

Scope:

Modernization initiatives across the Government of Alberta are fundamentally changing how ministry users collect, manage, analyze, and use data as legacy systems are transformed into modern Data Management and Geospatial Platforms. This shift requires dedicated analytical capacity to ensure that the value of modernized data assets is fully realized.

DRAS is a Government of Alberta regulatory transformation initiative led by Environment and Protected Areas (EPA) to modernize, digitize, and streamline environmental and natural resource regulatory processes. DRAS supports the full regulatory lifecycle, from application and authorization to monitoring, compliance, remediation, and closure through a single, consolidated digital platform

As DRAS development continues, the volume, variety, and complexity of structured data continue to grow, creating a sustained need for dedicated data engineering and data product expertise. The Data Product Analyst role is critical to ensuring that modernization delivers tangible business value. This role will design, build, and operate reliable data pipelines that ingest and integrate data into the DMP, apply standardized transformations, enforce data quality and governance controls, and produce trusted, analytics‑ready datasets that support regulatory oversight, compliance monitoring, and evidence‑based decision‑making aligned with DRAS objectives.

The Data Product Analyst provides operational support and continuous improvement (CI) services for DRAS data products and platform solutions. The role focuses on ensuring the ongoing reliability, availability, and performance of DRAS data assets, integrations, reports, and analytics products.

Duties:

  • Collaborate with business stakeholders and product owners to understand data product objectives, requirements, and success criteria
  • Design and implement scalable, secure, and high-performance data architecture on Microsoft Azure, supporting both cloud-native and hybrid environments.
  • Lead the development of data ingestion, transformation, and integration pipelines using Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
  • Work with the Data Architect and manage data lakes and structured storage solutions using Azure Data Lake Storage Gen2, ensuring efficient access and governance.
  • Integrate data from diverse source systems including ServiceNow, and geospatial systems, using APIs, connectors, and custom scripts.
  • Develop and maintain robust data models and semantic layers to support operational reporting, analytics, and machine learning use cases and downstream consumption.
  • Build and optimize data workflows using Python and SQL for data cleansing, enrichment, and advanced analytics within Azure Databricks.
  • Design and expose secure data services and APIs using Azure API Management for downstream systems.
  • Implement data governance practices, including metadata management, data classification, and lineage tracking.
  • Ensure compliance with privacy and regulatory standards (e.g., FOIP, GDPR) through role-based access controls, encryption, and data masking.
  • Monitor and troubleshoot data pipelines and integrations, ensuring reliability, scalability, and performance across the platform.
  • Utilize AI and automation tools to streamline data engineering workflows, including pipeline development, testing, monitoring, and documentation.
  • Leverage AI-assisted tools for code generation, optimization, and review to improve development efficiency and code quality.
  • Design and curate standardized, high‑quality datasets that are suitable for advanced analytics and future AI use cases.
  • Other duties as needed