Senior Data Quality Governance Specialist to help establish the enterprise data quality program and alignment with internal audits

Senior Data Quality Governance Specialist to help establish the enterprise data quality program and alignment with internal audits

**The ideal candidate will be in Alberta, 1 day a week on site in Edmonton or Calgary**

Must haves:

• 5+ years of experience in data quality, data governance, data management, or related roles.
• Experience establishing data quality frameworks, standards, and governance processes.
• Strong understanding of data quality dimensions, rule creation, CDE identification, data profiling, data issue and remediation management, and data lifecycle management.
• Familiarity with modern data platforms (e.g., Databricks, cloud environments) and the ability to translate business logic into implementable data quality rules.
• Exceptional collaboration and facilitation skills, with the ability to work effectively across teams to help them understand upcoming changes, adopt new processes, and align their work to enterprise data quality goals.
• Ability to quickly understand current processes, identify where improvements or changes are needed, and guide disparate teams toward a unified approach.
• A post-secondary degree or diploma in Information Management, Business, Computer Science, Data Governance, or a related field; equivalent experience will be considered.

Overview:

This role will develop data quality standards, frameworks, and processes; define Critical Data Elements (CDEs) and data quality rules; support implementation of automated controls; and build data quality issue management and remediation practices for the organization. The ideal candidate brings strong data governance experience and a track record of building data quality capabilities from the ground up. They work effectively across business and IT, easily identify where processes need to change, and can help teams adopt new practices. They excel at aligning stakeholders with diverse priorities around a shared, organization wide data quality vision.

Responsibilities:

• Help Develop a Data Quality Framework: create data quality principles, dimensions, and roles, and collaborate with stakeholders across business and IT to gain alignment and approval.
• ·Create Data Quality Standards: draft and publish the data quality standards needed to support governance, audit, and compliance requirements.
• Define Critical Data Elements (CDEs) & Quality Rules: establish processes for identifying and approving CDEs, conduct data profiling, and translate known issues and business rules into clear, actionable data quality rules.
• Support Automated Data Quality Validations: partner with data engineers to convert quality rules into automated validation checks, reconciliation logic, and monitoring workflows.
• Establish Data Quality Issue & Remediation Management: define data quality issue reporting and resolution processes, create supporting templates and workflows, and establish remediation procedures, approval gates, and controls for governed data corrections.
• Stakeholder Change Management: partner with OCM to communicate and train impacted stakeholders on new responsibilities and process changes.
• Build Team Alignment & Partnerships: work with business and IT teams to help them understand data quality expectations, adopt required process changes, and collaborate toward a unified, organization‑wide data quality vision.