Data Governance Consultant
- Kitchener, ON
- Temporaire
- Temps-plein
- Develop, implement, and maintain enterprise data governance policies, standards, and procedures.
- Establish data classification, metadata management, and data lineage practices.
- Coordinate data stewardship across clinical, operational, and administrative areas.
- Facilitate Data Governance Committee meetings and working groups.
- Maintain governance documentation including data dictionaries and SOPs. Data Quality Management & Compliance
- Design and implement data quality frameworks for profiling, monitoring, and remediation.
- Conduct data quality assessments across systems such as Oracle Health, Power BI, Azure Data Lake, and AWS.
- Ensure compliance with PHIPA, PIPEDA, and internal data security standards.
- Collaborate with IT and clinical teams to resolve data integrity issues. Stakeholder Engagement & Data Literacy
- Serve as liaison between Decision Support, Digital Services, Clinical Operations, Finance, and Innovation teams.
- Liaise with WRHN’s regional and partner organizations.
- Facilitate collaboration on enterprise data initiatives including AI governance.
- Develop and deliver data literacy training programs.
- Translate technical data governance concepts for diverse audiences and build consensus on standards. Strategic Data Initiatives Support
- Support enterprise data strategy execution and AI governance development.
- Participate in vendor evaluations for data governance and data quality tools.
- Support merger integration through data alignment activities across sites.
- Provide governance perspectives on analytics, reporting, MDM, and reference data initiatives.
- Bachelor's degree in Health Information Management, Health Informatics, Information Systems, Data Science, Business Administration, or related field.
- Minimum 3 years of progressive experience in data governance, with a proven track record of leading or implementing formal data governance programs.
- Deep, proven knowledge of data governance frameworks, metadata management, and data lineage practices.
- Applied knowledge of PHIPA, PIPEDA, and Ontario regulatory reporting requirements.
- Track record of strong analytical thinking, problem-solving, and stakeholder facilitation in complex, multi-team environments.
- Demonstrated success influencing stakeholders and building consensus without direct authority. Preferred Requirements:
- Master’s degree strongly preferred.
- Experience supporting AI governance and enterprise data strategy.
- Experience with metadata management, data quality, or MDM platforms.
- Experience leading governance working groups or committees.