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Data Quality Manager Jobs in Alberta (NOW HIRING)

... data quality concepts and challenges. * Experience defining KPIs, business metrics, and reporting requirements. * Excellent communication, facilitation, and documentation skills. * Ability to manage ...

... quality, consistent, and scalable data products across multiple platforms. The ideal candidate ... Oil and gas industry experience; experience with Maximo or similar enterprise asset/work management ...

... managed. By offering anytime, anywhere access to analytics and insights, we're helping our ... Are you ready to help power the global quality of life? Join Enverus, and be a part of creating a ...

The Quality EIT reports to the Quality Manager directly and assists in Quality improvement projects ... Maintain an up-to-date SDS (Safety Data Sheet) database to ensure compliance with regulatory ...

... data quality limitations. AI Engineering: * Build and maintain production-grade prompts, Claude Skills, and AI-assisted workflows that extend HCW's analytical reach (for example, manager-facing ...

... data quality limitations. AI Engineering: * Build and maintain production-grade prompts, Claude Skills, and AI-assisted workflows that extend HCW's analytical reach (for example, manager-facing ...

... data quality limitations. AI Engineering: * Build and maintain production-grade prompts, Claude Skills, and AI-assisted workflows that extend HCW's analytical reach (for example, manager-facing ...

Showing results 21-40

Data Quality Manager information

See Alberta salary details

$12

$44

$80

How much do data quality manager jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for data quality manager in Alberta is $44.46, according to ZipRecruiter salary data. Most workers in this role earn between $29.33 and $57.93 per hour, depending on experience, location, and employer.

What does a data quality manager do?

A Data Quality Manager is responsible for ensuring the accuracy, consistency, and reliability of an organization's data. They develop and implement data quality standards, monitor data integrity, and work closely with data analysts, IT teams, and business units to resolve data issues. Their goal is to ensure that data used for business decisions is trustworthy and meets regulatory and organizational requirements. This role often involves leading data governance initiatives and managing data quality improvement projects.

What are the key skills and qualifications needed to thrive as a data quality manager?

To thrive as a Data Quality Manager, you need a strong background in data management, data governance, and analytical skills, usually supported by a degree in information systems or a related field. Familiarity with data quality tools (such as Informatica, Talend, or SQL), data profiling techniques, and relevant certifications like CDMP are typically expected. Excellent communication, problem-solving abilities, and leadership skills help in collaborating with cross-functional teams and driving data quality initiatives. These skills ensure accurate, reliable data which is critical for informed business decision-making and regulatory compliance.

What are the most common challenges a data quality manager faces when implementing data governance initiatives?

Data Quality Managers often encounter challenges such as gaining cross-departmental buy-in, standardizing data definitions, and addressing inconsistent data entry practices. Successfully implementing data governance requires close collaboration with IT, business analysts, and leadership to align on data standards and processes. Additionally, managing change and ensuring ongoing user training are critical, as stakeholders may be resistant to new data policies or tools. Addressing these challenges proactively helps to build a culture of data ownership and accountability across the organization.

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

AspectData Quality ManagerData Analyst
Primary FocusEnsuring data accuracy, consistency, and integrity across systemsAnalyzing data to identify trends, patterns, and insights
Required SkillsData governance, quality control, database managementStatistical analysis, data visualization, reporting tools
CertificationsData Management certifications (CDMP, DAMA), SQLData analysis certifications (CAP, Microsoft Certified Data Analyst)
Work EnvironmentData governance teams, IT departments, enterprise systemsBusiness units, analytics teams, reporting departments

While both roles work with data, the Data Quality Manager focuses on maintaining data standards and quality assurance, whereas the Data Analyst interprets data to support business decisions. They often collaborate but serve different functions within organizations.

Infographic showing various Data Quality Manager job openings in Alberta as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $92,478 per year, or $44.5 per hour.

Contractor

Re-posted 14 days ago


Job description

Data Elephant is one of Canada's leading Data, Analytics & AI consulting firms, helping organizations modernize their data platforms, unlock business value from data, and accelerate AI adoption.


We partner with industry-leading technologies including AWS, Databricks, and Microsoft to deliver pragmatic, business-focused solutions.



Data Elephant is seeking a Senior Business Analyst to join our growing consulting team. This role is ideal for an experienced BA who thrives at the intersection of business strategy, process improvement, data, analytics, and technology.


You will work directly with client stakeholders, project teams, data engineers, architects, and analytics specialists to define business requirements, map business processes, improve data quality, and support the delivery of modern analytics and AI solutions.

This is a highly consultative role requiring strong communication skills, business acumen, and the ability to translate complex business needs into actionable requirements for technical teams.


Business Analysis & Stakeholder Engagement

  • Lead discovery workshops and stakeholder interviews.
  • Elicit, document, and validate business requirements.
  • Translate business objectives into functional and non-functional requirements.
  • Facilitate alignment between business and technical teams.
  • Support solution design and implementation activities throughout the project lifecycle.


Process Analysis & Process Mapping

  • Document current-state and future-state business processes.
  • Identify inefficiencies, bottlenecks, and improvement opportunities.
  • Facilitate business process optimization initiatives.
  • Create process maps, workflows, user journeys, and business capability models.


Data & Analytics

  • Gather and document data, reporting, analytics and ML/AI requirements.
  • Assess data quality issues and support data governance initiatives.
  • Define KPIs, business metrics, and reporting requirements.
  • Collaborate with technical teams to ensure analytics solutions align with business needs.
  • Support user acceptance testing and solution validation.


Data Modernization & AI Projects

  • Support data platform modernization initiatives.
  • Help clients identify and prioritize analytics and AI use cases.
  • Contribute to business cases and roadmap development.
  • Assist with change management and user adoption activities.


Required Experience

  • 6+ years of Business Analysis experience.
  • Proven experience leading requirements gathering and stakeholder engagement activities.
  • Strong process mapping and business process improvement experience.
  • Experience working on data, analytics, reporting, or data modernization projects.
  • Strong understanding of data quality concepts and challenges.
  • Experience defining KPIs, business metrics, and reporting requirements.
  • Excellent communication, facilitation, and documentation skills.
  • Ability to manage multiple stakeholders and priorities in a consulting environment.



Experience in one or more of the following industries is highly desirable:

  • Energy, Mining, Construction or Utilities
  • Experience across Finance, Supply Chain, Commercial Trading/Energy trading an asset
  • Experience working with reporting and BI tools including Genie, AI/BI, PowerBI and Tableau an asset


You are someone who:

  • Asks great business questions before proposing solutions.
  • Can quickly understand complex business processes and data flows.
  • Bridges the gap between executives, business users, and technical teams.
  • Is passionate about helping organizations become more data-driven.
  • Thrives in a fast-paced consulting environment.
  • Enjoys solving complex business and data challenges.


Why Work with Us?

  • Work on impactful data, analytics, and AI projects across Canada's most important industries.
  • Collaborate with experienced consultants, architects, and data specialists.
  • Gain exposure to leading cloud and data platforms including Databricks, AWS, and Microsoft.
  • Flexible work environment.
  • Opportunity to grow your career in one of Canada's fastest-growing data and AI consulting firms.