Manager, Machine Learning Operations (MLOps)

Manager, Machine Learning Operations (MLOps) Employment Type: Existing Role Working Business Language: English Salary: $140,000 - $180,000 per year, plus annual bonus plan, leave of absence top‑up programs, generous vacation, personal days, free benefits, and pension plan. Location: Winnipeg, MB; Calgary, AB; Toronto (North York), ON (hybrid work). 2 days per week in office or 15 hours per week, or remote. Job Overview The Manager, Machine Learning Operations (MLOps) contributes to Wawanesa’s success by leading the MLOps function, ensuring scalable, reliable, and cost‑effective deployment of machine learning solutions across the enterprise.

The manager leads a team responsible for taking machine learning applications to support decision making from concept to production, with accountability for platform architecture, production reliability, governance, and lifecycle management. Job Responsibilities Work directly with organizational leaders to introduce advanced analytics to all functions within the organization and foster 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. Manage 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. Keep abreast of new tools, algorithms and techniques in machine learning and implement them in the organization. Perform other duties as assigned.

Qualifications Minimum of five years of experience 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, able to recognize and identify critical issues. Excellent interpersonal, presentation and communication skills, able 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, able to manage and prioritize a busy workload and multiple projects.

Knowledge and experience in the insurance industry is considered an asset. Diversity, Equity, Inclusion and Belonging (DEIB): Wawanesa welcomes applications from all qualified candidates, including racialized persons, women, Indigenous Peoples, persons with disabilities, members of the 2SLGBTQIA+ community, gender‑diverse and neurodiverse individuals, and anyone who can contribute to further diversification of thought and ideas. We aim to ensure our recruitment process is accessible to all candidates.

If you require accommodations during any stage of the recruitment process, please reach out in confidence to jobs@wawanesa.com. Please note that our recruitment process may involve the use of AI tools to screen, assess or select applicants. All final decisions are taken or reviewed by human recruiters and human hiring leaders in compliance with all applicable legislation. #J-18808-Ljbffr