Ai Insurance Jobs in Quebec (NOW HIRING)

Job Overview

Under moderate supervision, the Senior Architect - Data & AI, will contribute to Wawanesa's success by providing high-level architecture design of Advanced Analytics solutions and long-term technology roadmaps to meet business objectives, taking into account the existing architectural landscape including established standards and principles. The Architect drives standards, governance, and reusable patterns to enable spoke teams while ensuring solutions are implemented in alignment with solution architecture design.

Job Responsibilities

• Develop and maintain current state architecture models and artifacts including the four key domains of architecture: Business, Application, Data, and Technology.
• Design and optimize cloud analytics solutions including data lakes, MLOps pipelines, automation, and CI/CD. Experience designing on a modern lakehouse platform (Databricks preferred) using medallion architecture (Bronze/Silver/Gold) with Delta Lake and Unity Catalog governance is a strong asset.
• Architect the enterprise semantic layer, including federation across BI and AI consumers, to enable consistent, governed metric definitions.
• Define and maintain hub standards, guardrails, and governance for analytics capabilities.
• Enable Responsible AI practices (explainability, fairness, compliance) and regulatory compliance for data and AI solutions (privacy, security, auditability).
• Partner with business and technical teams to embed analytics services into products and workflows.
• Gather solution architecture requirements from various sources including interviewing business and IT stakeholders, established architecture standards and principles, and reference architecture.
• Provide architectural leadership and guidance throughout solution design and implementation, ensuring best practices, reuse of components, and alignment with target architecture.
• Ensure architectural compliance of solutions to enterprise architecture standards and principles.
• Design external system interface architecture, including appropriate application of techniques and standards such as service-oriented architecture, web services, etc.
• Design external system interface architecture, including appropriate application of techniques and standards such as service-oriented architecture, web services, and modern data integration patterns (CDC, managed connectors, data sharing, and cross-cloud consumption).
• Develop solution architecture roadmaps based on organizational business units objectives and strategies.
• Perform other duties as assigned.

Qualifications

• Bachelor's degree in computer science, in an analytical discipline or equivalent experience.
• Minimum of 2 to 5 years of Information Services / Information Technology architecture experience.
• 10 years of experience in full life cycle solution design using object-oriented analysis and design techniques, preferably in a medium-to-large enterprise environment.
• Ability to influence across and lead changes in a complex enterprise.
• Experience in comprehensive modeling for applications, services, systems, and data with approaches in component-based, service-oriented, model-driven manner.
• Expert knowledge and experience with designing and delivering solutions that factor in system performance, usability, quality, cross-system interdependence, scalability and overall cost to develop and maintain.
• Sound knowledge and experience with design patterns, service-oriented architecture, solution frameworks, technical patterns and technical services.
• Ability to balance the long-term ("big picture") and short-term implications of individual decisions and drive actions that are consistent with long-term goals.
• Strong business sense with the ability to translate complex business requirements into technology solutions.
• Excellent communication, analytical, and problem-solving skills with ability to manage multiple priorities. Ability to lead others to embrace, perform effectively, and adapt quickly to change.
• Ability to make excellent and well justified decisions in complex and high-pressure situations and coach others in decision making.
• Knowledge of MLOps tools (MLflow, SageMaker Pipelines, feature stores) is an asset.
• Knowledge of MLOps tools (MLflow, Databricks Model Serving / Mosaic AI, feature stores) is an asset.
  
• Experience with Databricks (Unity Catalog, Delta Lake, medallion architecture) and lakehouse / data-mesh patterns is strongly preferred.
• Knowledge and experience in the insurance industry is considered an asset.

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