AVP, Enterprise Data Architecture
HybridToronto, Ontario, Canada or Montréal, Quebec, Canada
Job Summary
Own, lead, and manage the overall Enterprise Data Architecture Strategy and Roadmap, defining multi-year plans aligned with business priorities, technology modernization, and cloud adoption. Develop and maintain architecture standards, reference patterns, and governance practices supporting data management, analytics, reporting, and machine learning initiatives. Partner with Regional Chief Data Officers, Data Delivery teams, and AI leadership to translate strategic requirements into scalable enterprise architectures and ensure alignment between enterprise strategy and technology implementation. Lead a high-performing team of Directors, Architects, and Senior Consultants across geographies while fostering collaboration with Enterprise Architecture, Data Engineering, and Business teams. Maintain joint accountability for integrated Data and AI roadmaps, ensuring data foundations mature effectively to support analytics and AI capabilities.
Required Qualifications
- Minimum 10 years of experience in Enterprise Data Architecture, Information Architecture, Data Management, or related disciplines
- Deep expertise in enterprise data architecture, information management, analytics platforms, and cloud-native data ecosystems
- Demonstrated experience defining and implementing enterprise-scale data strategies that support business transformation initiatives
- Deep understanding of client needs, market trends, and emerging technologies
- Ability to manage through influence in a highly complex global environment
- Ability to establish and maintain a high degree of trust and credibility with senior business and technology leaders
- Strong consulting, communication, organizational, negotiation, and stakeholder management skills
- Ability to communicate effectively with both technical and non-technical audiences
- Demonstrated ability to bridge business strategy, enterprise data architecture, analytics, and AI enablement through scalable enterprise data foundations
- Strong experience with modern data architecture, including: Data Warehousing, Data Lakes and Lakehouse Architectures, Data Products, Metadata Management, Master and Reference Data Management, Data Lineage, Data Governance, Event Streaming Platforms (Kafka), Relational and NoSQL Databases, Graph and Semantic Technologies, Real-Time Data Platforms
- Experience supporting Artificial Intelligence and Machine Learning initiatives through scalable data architecture, governance, metadata, and information management capabilities
- Strong understanding of AI data requirements, model lifecycle considerations, AI governance principles, and responsible AI practices
- Minimum 2 years of hands-on experience designing enterprise-scale cloud-native data solutions on AWS
- Strong knowledge of AWS services including: S3, Redshift, Glue, Athena, SageMaker, Lake Formation, CloudFormation
- Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Information Technology, or a related discipline
- Minimum 10 years of architecture leadership experience with significant focus on Enterprise Data Architecture strategy and implementation
- Experience leading and managing a team of Solution Architects and working in a matrixed organization
Desired Qualifications
- Experience with Azure cloud services
- Nice to Have Experience supporting or leading Data Science teams and advanced analytics initiatives
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