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Assistant Data Governance Jobs in Edmonton, AB (NOW HIRING)

Support Data Governance, Responsible AI, compliance, model lifecycle management, and evaluation of ... Experience with Microsoft Copilot, RAG, knowledge assistants, or agentic AI * Industry experience ...

Senior Accountant

Edmonton, AB ยท Hybrid

CA$80K - CA$100K/yr

Support the Financial Reporting Manager in monthly, quarterly, and annual close activities. Assist ... Adhere to cybersecurity policies, system access controls, and data governance requirements.

... * Assist supply chain partners with data analysis and transformations. * Implement focused ... Develop and deploy governance systems, visual management systems, data collection, and reporting ...

Certification in ITIL 4 Foundation, Information Management, Information Governance & Data ... Employee Family Assistant Program, free onsite counselling services, a social club, a health ...

... including: * governance & risk management * IAM / privileged access * data protection ... . * Assist in identifying cybersecurity risks, control gaps, and potential operational impacts ...

Utilize generative AI, code assistants, agentic workflows, and prompt engineering techniques to ... Champion responsible AI development practices and governance standards Technical Leadership (15%

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Assistant Data Governance information

What is an assistant data governance?

Assistant Data Governance roles involve supporting the implementation and maintenance of data governance policies and procedures within an organization. People in this position help ensure data quality, security, and compliance by assisting with data management tasks, monitoring data usage, and documenting data-related processes. They often collaborate with data stewards, IT teams, and business units to promote best practices and uphold data standards. This role may also include assisting with audits, reporting, and the resolution of data-related issues.

What are the main responsibilities of an assistant data governance professional?

As an Assistant Data Governance professional, your primary responsibilities include supporting data stewardship activities, maintaining data quality standards, assisting in policy documentation, and monitoring data compliance. You will often collaborate with data owners, IT teams, and business stakeholders to ensure that data is accurate, secure, and used appropriately. This role is crucial in helping the organization adhere to data governance frameworks and regulatory requirements, and it provides a solid foundation for advancing into more senior data management roles.

What are the key skills and qualifications needed to thrive as an assistant data governance professional?

To thrive as an Assistant Data Governance professional, you need a foundational understanding of data management principles, data quality standards, and relevant regulations, often supported by a degree in information management or a related field. Familiarity with data governance tools, data cataloging systems, and knowledge of frameworks like DAMA-DMBOK or GDPR compliance certifications is advantageous. Strong attention to detail, effective communication, and problem-solving skills help you collaborate across departments and enforce data policies. These skills are crucial for maintaining high data quality, regulatory compliance, and enabling informed decision-making within an organization.

What is the difference between Assistant Data Governance vs Data Analyst?

AspectAssistant Data GovernanceData Analyst
Required CredentialsCertifications in data management, data governance frameworksDegree in statistics, data science, or related field
Work EnvironmentCorporate data teams, compliance departmentsBusiness units, analytics teams
Employer & Industry UsageFinancial, healthcare, tech companiesMarketing, finance, consulting firms
Common Search & ComparisonOften compared for data management rolesMore focused on data analysis and insights

Assistant Data Governance focuses on implementing data policies, ensuring data quality, and maintaining compliance within organizations. Data Analysts primarily analyze data to generate reports, insights, and support decision-making. While both roles work with data, Assistant Data Governance emphasizes data integrity and governance frameworks, whereas Data Analysts focus on data interpretation and visualization.

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

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

Infographic showing various Assistant Data Governance job openings in Edmonton, AB as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Data & AI Architect

SMS Equipment

Acheson, AB โ€ข On-site

Full-time

Posted 7 days ago


Job description

SMS Equipment is seeking a strategic and technically accomplished Senior Data & AI Architect to lead the design and implementation of the organization's enterprise Data & AI architecture. In this role, you will enable scalable analytics, AI-driven solutions, and enterprise-wide adoption of generative AI capabilities while supporting business transformation through data, artificial intelligence, and advanced analytics initiatives.ย 

Working closely with the Director, Artificial & Business Intelligence, enterprise architecture teams, business stakeholders, OEM partners, and customers, you will ensure Data & AI platforms align with business strategy, enterprise technology standards, security frameworks, and responsible AI governance practices.ย 

Work Location: Acheson, ABย 
Work Arrangement: Hybrid or Fixed On-Siteย 
Schedule: 8:00 am to 4:30 pmย 

What You'll Doย 

  • Lead the design and evolution of enterprise Data & AI architecture supporting business intelligence, analytics, machine learning, generative AI, optimization, and simulation solutions.ย 
  • Develop architecture standards, integration patterns, and technology roadmaps aligned with enterprise architecture principles, business objectives, and technology standards.ย 
  • Define architectural approaches for Microsoft Copilot, knowledge assistants, vector databases, Retrieval Augmented Generation (RAG), and emerging agentic AI systems.ย 
  • Design scalable Data & AI platforms supporting data ingestion, quality management, feature engineering, model development, deployment, monitoring, and continuous improvement through DataOps, MLOps, and LLMOps.ย 
  • Support Data Governance, Responsible AI, compliance, model lifecycle management, and evaluation of emerging technologies across AI, analytics, and data ecosystems.ย 
  • Partner with business leaders to identify Data, AI, and Business Intelligence opportunities while mentoring Data Scientists, BI Analysts, and AI Engineers and fostering innovation, collaboration, and continuous improvement.ย 

What You Bringย 

You are an experienced technology leader with deep expertise in enterprise Data & AI architecture, cloud platforms, analytics ecosystems, and business transformation. You possess strong strategic thinking, technical leadership, and stakeholder engagement skills, with the ability to translate business needs into scalable and governed solutions.ย 

Additional qualifications include:ย 

  • Bachelorโ€™s degree in Computer Science, Engineering, Information Technology, Data Science, Analytics, or related discipline.ย 
  • 5+ years of experience in Data Architecture, AI Architecture, Business Intelligence, Analytics, or Enterprise Technology Leadership.ย 
  • Strong expertise in modern data architectures, cloud-native platforms, and tools such as Microsoft Fabric, Azure AI, Azure Databricks, Azure Synapse Analytics, Power BI, and Copilot Studio.ย 
  • Experience designing scalable AI, machine learning, and generative AI solutions within governed enterprise environments.ย 
  • Knowledge of Responsible AI, data governance, privacy, compliance, and enterprise architecture principles.ย 
  • Demonstrated ability to build technology roadmaps, align architecture strategies with business objectives, and mentor technical teams.ย 

Nice to Havesย 

  • Bilingual English and Frenchย 
  • Enterprise-wide AI transformation experienceย 
  • Experience with Microsoft Copilot, RAG, knowledge assistants, or agentic AIย 
  • Industry experience in mining, construction, heavy equipment, energy, forestry, or industrial operationsย 
  • Relevant certifications in cloud, AI, data engineering, enterprise architecture, or analyticsย 

This position is classified as an Individual Contributor role in SMS Equipmentโ€™s competency framework, requiring demonstration of core competencies (customer focus, collaboration, and technical/functional expertise).ย 

At SMS Equipment, safety is one of our core values and we care for each other, without exception. Our successful candidate is intrinsically motivated and committed to making safe choices when completing all tasks.ย 

This posting is for an existing vacancy within SMS Equipment. Applications will be accepted until a suitable candidate is hired.ย 

We thank all applicants for their interest. Only those selected to proceed to the next stage of the recruitment process will be contacted.ย 

At SMS Equipment, the right partnership makes everything possible. We're committed to building a diverse and inclusive team and encourage applications from all qualified individuals. Join us and bring your expertise to an organization that values safety, authenticity, innovation, performance, and respect.ย 

SMS Equipment offers rewarding careers in the heavy equipment industry across Canada. As the largest Komatsu dealer in North America, SMS Equipment gives you the opportunity to represent world-class quality in our product offerings and customer service. A few of the many benefits of working with SMS Equipment include competitive wages, comprehensive group benefits plan, and RRSP matching.ย