What you will be doing: Data & AI Enablement Partner with business stakeholders to identify opportunities for new data, analytics, and AI solutions.

Help evaluate and prioritize use cases based on business impact and value.

Act as a trusted resource for associates seeking data, reporting, or analytics support.

Promote data literacy by helping users locate and leverage existing data assets and insights.

Analyze requests and feedback to identify opportunities for process improvements and new analytics capabilities.

Documentation & Knowledge Management Create and maintain knowledge base articles and documentation related to data, analytics, and AI assets.

Improve discoverability and usability of data assets through clear business-friendly documentation.

Support ongoing efforts to enhance AI-powered support tools by ensuring accurate and well-maintained knowledge content.

Contribute to data dictionaries, business definitions, metadata, and documentation standards.

Data Quality & Master Data Management Monitor business-critical datasets and data pipelines to ensure availability and quality.

Collaborate with business and technical teams to improve the quality and consistency of master data, including customer, vendor, product, and pricing information.

Escalate data quality issues and support remediation efforts with appropriate stakeholders.

Assist with testing and validation of new data and analytics assets before release.

Metadata & AI Governance Maintain metadata, tagging structures, business definitions, and data classification standards.

Support the preparation and curation of data for AI-enabled solutions,



including Copilot, GenAI, and retrieval-based systems.

Assist with data classification and governance initiatives to ensure sensitive information is properly managed.

Help identify and mitigate risks related to AI outputs, including hallucinations, bias, and misinformation.

Participate in continuous improvement efforts for AI-enabled tools and solutions.

Testing & Validation Perform functional testing, sanity checks, and data quality validation on reporting, analytics, and AI assets.

Verify that delivered solutions meet intended business outcomes and user requirements.

Support quality assurance activities across data and analytics initiatives.

What you must have: 13 years of experience in Business Intelligence, Reporting, Business Analysis, Data Management, or a related field.

Strong communication skills with the ability to explain technical concepts to non-technical stakeholders.

Excellent analytical and problem-solving abilities.

Ability to distinguish between data issues, process issues, and business expectation gaps.

Experience working collaboratively across business and technology teams.

Strong organizational and time management skills in a fast-paced environment.

Foundational understanding of data, analytics, reporting, and data governance concepts.

Salary/Rate Range: $90,000.00 - $100,000.00 Thank you for your interest in this chance.

If you are selected to move forward in the process, we will contact you directly.

If you do not hear from us, we encourage you to continue visiting our website for other roles that may be a good fit.

📌 Data and AI Enablement Specialist (Edmonton)
🏢 TEEMA
📍 Edmonton