Now, we’re proudly building on that legacy to transform our company—and our industry—for the better.Effective January 1, 2026, Gore has joined Beneva—the country’s largest mutual insurance company—as part of its Property & Casualty operations in Ontario and Western Canada. During 2026, Gore will combine its operations with Unica Insurance, Beneva’s Ontario-based subsidiary specializing in niche commercial and personal insurance, creating a stronger, more diversified mutual insurer with greater scale and long-term stability.Every decision and investment remains anchored in long-term benefits to customers, members, and communities. Design, build, and maintain that support the ingestion, transformation, and storage of large-scale datasets.Optimize data workflows to ensure efficient data processing and availability.Develop and implement best practices for deploying, monitoring, and managing robust data pipelines and ML models in production.Collaborate with data scientists to ensure seamless integration and deployment of ML solutions.Define the vision, strategy, and roadmap for data engineering and ML Ops in alignment with the company's goals.Ensure the scalability, reliability, and efficiency of ML models and data pipelines.Lead and motivate a high-functioning engineering team, providing coaching to empower members and delivery squads.Encourage innovation, experimentation, and best practices within the data engineering team.Allocate resources, manage workloads, and set goals to ensure timely, budget-compliant project completion.Ensure that data engineering and ML Ops processes adhere to industry standards, regulatory requirements,



and security best practices.Implement measures to safeguard sensitive data and protect against potential vulnerabilitiesStay updated on the latest advancements in data engineering and ML Ops technologies and methodologies.Implement best practices and drive continuous improvement initiatives to enhance the efficiency and effectiveness of our ML systems.Bachelor’s or master’s degree in computer science, Data Engineering, Software Engineering or a related field.Demonstrated experience (5+ years) in data engineering, machine learning operations, or related fields, including a minimum of 2 years in a leadership or managerial role.Advanced proficiency in programming languages such as Python, Java, or Scala.

Comprehensive knowledge of data pipeline frameworks (e.Databricks) and ML Ops tools (e.AWS, Google Cloud, Azure) and containerization/orchestration tools (e.Exceptional problem-solving and analytical skills, with in-depth expertise in data architecture, data modeling, and database systems.High attention to detail and a commitment to delivering high‑quality solutions. Ability to prioritize tasks and manage multiple projects concurrently.#You have the potential to earn more through Gore Mutual’s discretionary bonus program which gives you an opportunity to increase your total compensation, provided the business meets its performance targets and you meet your individual goals.Gore Mutual is proud to offer a comprehensive total rewards package which includes extended health and dental perks, disability insurance, retirement plan matching, paid time off, recognition and perk programs.Gore Mutual Insurance Company is committed to providing accommodations for people with disabilities during all phases of the recruiting process, including the application process.If you require accommodation because of a disability, we will work with you to meet your needs.

📌 Manager Data Engineering-Ml Ops (Winnipeg)
🏢 Gore Mutual Insurance
📍 Winnipeg