Manager, Advanced Analytics

Job Overview

The Manager of Advanced Analytics contributes to Wawanesa’s success by bringing your passion for predictive modeling and machine learning. In this role, you will lead the Machine Learning Operations (MLOps) function, ensuring scalable, reliable, and cost-effective deployment of machine learning solutions across the enterprise. The manager is leading a team responsible for taking machine learning applications to support decision making across the organization from concept to production, with accountability for platform architecture, production reliability, governance, and lifecycle management.

Job Responsibilties

• Work directly with organizational leaders to introduce advanced analytics to all functions within the organization, and to foster the advancement and adoption of analytic assets.
• Develop and advance analytic standards and processes that enable all aspects of advanced analytics including applied research, proof of concept, deployment of production grade ethical machine learning models, model monitoring and measurement.
• Own and evolve the enterprise MLOps platform strategy, including CI/CD for ML, model registry, feature management, orchestration, monitoring, and observability frameworks.
• Establish standardized deployment patterns and infrastructure-as-code practices to reduce bespoke solutions and increase reuse across teams.
• Model lifecycle governance from development through validation, deployment, monitoring, retraining, and retirement.
• Identify and organize educational initiatives aimed at the development of overall inter- and intra-departmental knowledge.
• Keeps abreast with new tools, algorithms and techniques in machine learning and works to implement them in the organization.
• Perform other duties as assigned .

Qualifications

• A minimum of five years of experience in developing and deploying enterprise-scale machine learning solutions, and one year of people leadership with proven ability to build high performing teams
• Strong business acumen with advanced analytical and problem-solving skills, with the ability to recognize, and identify critical issues
• Excellent interpersonal, presentation and communication skills, with the ability to effectively convey complex ideas in a simple, persuasive, and eloquent manner
• Comfortable confronting difficult issues and diplomatic in delivery of challenging messages
• Ability to establish and maintain good relationships with key stakeholders
• Advanced planning and organizing skills, with the ability to manage and prioritize a busy workload and multiple projects
• Knowledge and experience in the insurance industry is considered an asset

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