AVP leading enterprise data architecture, governance, and modernization at Sun Life, helping clients achieve lifetime financial security. Guiding global teams across analytics, platforms, and AI enablement.
Responsibilities
Lead the overall Enterprise Data Architecture Strategy and Roadmap
Develop and maintain a multi-year enterprise data architecture strategy aligned with business priorities and technology modernization
Govern enterprise data standards, patterns, and reference architectures
Lead the Data Architecture team and develop Directors, Architects, and Senior Consultants across geographies
Support Data and Analytics organizations in translating strategic requirements into scalable enterprise data architectures and information models
Define architecture standards for structured and unstructured data assets
Establish data foundations supporting enterprise AI capabilities
Drive adoption of enterprise data architecture standards and governance practices across regional organizations and business units
Align enterprise architecture strategy with data platform modernization and data transformation initiatives
Lead semantic architecture, metadata management, and knowledge discovery capabilities
Assess cloud and on-premise deployment decisions based on workload, latency, scalability, security, regulatory, and consumption requirements
Monitor technology, regulatory, privacy, compliance, retention, audit, and governance developments
Keep senior technology and data leadership informed of trends, opportunities, risks, and best practices
Foster collaboration across architecture, engineering, data science, analytics, platform, infrastructure, security, and business teams
Requirements
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
Experience defining and implementing enterprise-scale data strategies supporting business transformation
Ability to manage through influence in a complex global environment
Strong consulting, communication, organizational, negotiation, and stakeholder management skills
Expertise bridging business strategy, enterprise data architecture, analytics, and AI enablement
Strong experience with data warehousing, data lakes, lakehouse architectures, data products, metadata management, master and reference data management, data lineage, and data governance
Experience with Kafka, relational and NoSQL databases, graph and semantic technologies, and real-time data platforms
Experience supporting AI and machine learning initiatives through scalable data architecture and governance
Understanding of AI data requirements, model lifecycle considerations, AI governance, and responsible AI practices
Minimum 2 years of hands-on experience designing enterprise-scale cloud-native data solutions on AWS
Strong knowledge of AWS S3, Redshift, Glue, Athena, SageMaker, Lake Formation, and CloudFormation
Azure cloud services experience considered an asset
Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Information Technology, or related discipline
Minimum 10 years of architecture leadership experience focused on Enterprise Data Architecture strategy and implementation
Experience leading and managing Solution Architects in a matrixed organization
French and English bilingualism, oral and written, required for Quebec positions
Benefits
Flexible hybrid work model
Pension, stock and savings programs
Work and professional development
Friendly, collaborative and inclusive culture
Continuous improvement and digital enterprise experience opportunities
Competitive salary and bonus structure
Career paths with networking potential
Accommodation in the application process for persons with disabilities
Supportive, flexible, and inclusive work environment
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