Senior Manager, Enterprise Data Architecture
ivari View all jobs
- Toronto, ON
- Permanent
- Full-time
- Own and evolve the enterprise data architecture blueprint, standards, and multi-year modernization roadmap, and lead adoption of unified data architecture principles
- Establish and govern models, ontologies, taxonomies, and metadata standards
- Design, manage, and oversee data governance of integrated Data Warehouse & Data Lake Architectures
- Lead design for IFRS 17 models, CSM calculations, actuarial inputs, and financial data flows and develop IFRS17-aligned data models, integration, and traceability frameworks and oversee compliance with GDPR, IFRS 17, SOX, and regulatory requirements
- Ensure lineage, auditability, and compliance across actuarial, finance, and regulatory ecosystems
- Lead enterprise data governance for lineage, cataloging, glossary, and stewardship
- Implement enterprise monitoring, data observability frameworks, and automated data quality checks.
- Provide architectural leadership for cloud-native platforms (Azure, Databricks, Fabric, Snowflake)
- Guide legacy platform modernization and DataOps
- Drive adoption of AI-powered data management capabilities, such as automated lineage, anomaly detection
- Ensure architectural consistency, scalability, alignment to strategy, and champion adoption across segments
- Mentor and develop a high-performing team of data architects
- 8- 12+ years in Data Architecture/Engineering, including leadership experience
- Expertise in Azure/Snowflake/Databricks/Fabric, data modeling, governance, and integration
- Strong understanding of Kimball, Data Vault 2.0, canonical modeling, and semantic modeling techniques
- Understanding of AI-augmented data management and DataOps practices
- Experience with unified DW/DL architectures and data virtualization frameworks
- Bachelor or Master’s Degree in Computer Science, Information Systems, Data Engineering, or related field
- Excellent relationship management skills
- Effective Analytical and problem-solving capabilities
- Strong organizational skills and attention to detail
- Excellent verbal and written communication skills
- Experience with IFRS 17 or finance/insurance data domains is preferred
- Flexible and hybrid work arrangements
- Opportunities for professional development
- Recognition programs to cheer you on, motivate and reward