Posted: June 20, 2026
Senior Data & AI Solution Architect - Manulife, Toronto is listed at Manulife in Toronto, ON. The Beaver Board aggregates this opening from the employer's career page — apply using the button below to reach the official application. Browse more jobs at Manulife.
Manulife is hiring a Senior Data & AI Solution Architect in Toronto, Ontario. This role involves designing and governing end-to-end data and AI solutions, translating business needs into secure, scalable architecture. Key duties include leading design decisions and guiding engineering teams. Candidates require 5+ years of experience in data and analytics architecture, with proven Azure solution design expertise.
As a Senior Data & AI Solution Architect at Manulife in Toronto, you will be instrumental in shaping the future of our data and artificial intelligence capabilities. This pivotal architecture role demands a deep understanding of complex data ecosystems and the ability to translate intricate business requirements into robust, secure, and scalable technical solutions. You will own the end-to-end design of data pipelines, advanced analytics, and machine learning/Generative AI use cases, ensuring alignment with enterprise standards and regulatory expectations. Your expertise will guide engineering and data science teams through the entire solution lifecycle, from initial concept to production readiness, resolving technical blockers and driving critical design decisions. A significant part of this involves architecting solutions leveraging Microsoft Azure services, including ADLS, Databricks, Synapse/Fabric, and Azure ML/OpenAI, defining CI/CD and Infrastructure as Code deployment patterns. This role requires a strong focus on data governance, ensuring data quality, lineage, and interoperability across all implemented solutions, thereby enhancing the overall information architecture.
Successful candidates for this Senior Data & AI Solution Architect position will bring at least five years of experience in data and analytics architecture, with a minimum of three years dedicated to designing AI/ML solutions for production environments; GenAI experience is highly preferred. A bachelor’s degree in computer science, Engineering, Information Systems, Data/AI, or a related field is essential, with a master’s degree being a valuable asset. Proven experience architecting on Azure across its comprehensive data and AI services, such as Data Lake, Databricks, Synapse/Fabric, and Azure AI services, is a critical requirement, ideally within the financial services sector. Candidates must demonstrate a strong understanding of data governance, data modelling, integration, metadata management, and privacy/security controls, extending these practices to AI/GenAI governance. Strong architecture leadership skills are paramount to drive decisions, manage trade-offs, and influence cross-functional teams while maintaining a keen focus on delivery. Excellent communication and stakeholder management skills are also vital for translating complex data and AI concepts for diverse audiences. Experience with modern engineering practices like Infrastructure as Code (IaC) and Continuous Integration/Continuous Deployment (CI/CD), alongside MLOps/LLOps concepts, will be highly valued. Relevant Azure certifications further strengthen an applicant's profile, showcasing their expertise in solution design and implementation.
