Data Governance Lead - Hybrid; Drive Data Quality & Policy

Alberta Innovates; Edmonton; Hybrid; CAD 80,000 - 97,000; Full time

Benefits offered by this job

Competitive compensation

Health & pension benefits

Professional development

Flexible work arrangements

Job summary

Alberta Innovates is seeking a Data Governance Lead to advance governance, data quality, and metadata management across the organization. Hybrid work arrangement in Edmonton with strong collaboration across IT, analytics, and business units.

You will define policies, oversee metadata standards, lead data quality program management, and guide AI/ML governance initiatives to improve data trust and decision making.

Qualifications

• Diploma in Information Management or related discipline; equivalent experience may be considered.
• 7 years of progressively responsible experience in data governance, data management, data quality, metadata management, or related data programs.
• Experience leading multi-stakeholder data initiatives or programs in complex, multi-system or public sector environments.

Responsibilities

• Define and maintain governance policies, standards, classification rules, and stewardship models that support consistency, privacy, and regulatory compliance.
• Oversee metadata standards, data definitions, and enterprise glossaries across systems and business units.
• Champion governance practices across the organization through communication, training, and stakeholder engagement.
• Ensure governance alignment with enterprise architecture, information management, cyber/privacy requirements, and AI/ML governance needs.

Skills

Effective communication

Influence without authority

Analytical thinking

Education

Diploma in Information Management or related

Job description

Alberta Innovates is seeking a Data Governance Lead to advance governance, data quality, and metadata management across the organization. Hybrid work arrangement in Edmonton with strong collaboration across IT, analytics, and business units.

You will define policies, oversee metadata standards, lead data quality program management, and guide AI/ML governance initiatives to improve data trust and decision making.