Lead Data Engineer ML Ops

Next Horizon is here. Fueled by investments in talent and technology our bold strategy to transform is nearly complete.

At Gore Mutual weve always set ourselves apart as a modern mutual that does good. Now were proudly building on that legacy to transform our companyand our industryfor the better.

Our path forward sharpens our focus on business performance driven by leading technology innovation and an agile high-performing culture. With Gore Mutual and Beneva announcing their intent to merge in 2026 well be uniting two well-established financially strong and trusted brands to become the strongest mutual insurer in Canada ensuring Canadians have purpose-driven insurance options for generations to come.Come join us.

This position is responsible for developing and maintaining the necessary infrastructure for deploying monitoring and optimizing machine learning (ML) and AI models and maintaining scalable data infrastructure. It plays a pivotal role in strategizing designing and implementing robust data and analytics pipelines ensuring the scalability and reliability of our ML and AI systems and collaborating with cross-functional teams to advance our data-driven initiatives.

What will you do in this role:

AI/ML & Data Pipeline / AI/ML Model Deployment

• Design build and maintain pipelines that support the development and maintenance of AI/ML models data 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 and analytics pipelines and AI/ML models in production.
• Collaborate with data scientists to ensure seamless integration and deployment of AI/ML solutions.

Strategy and Planning

• Define the vision strategy and roadmap for data engineering and MLOps/AgentOps in alignment with the companys goals.
• Ensure the scalability reliability and efficiency of AI/ML models and data pipelines.

Team Leadership and Development

• 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.

Security and Compliance

• Ensure that data engineering and MLOps/AgentOps processes adhere to industry standards regulatory requirements and security best practices.
• Implement measures to safeguard sensitive data and protect against potential vulnerabilities

Continuous Improvement

• Stay updated on the latest advancements in data engineering and MLOps/AgentOps technologies and methodologies.
• Implement best practices and drive continuous improvement initiatives to enhance the efficiency and effectiveness of our AI/ML systems.

What will you need to succeed in this role:

• Bachelors orMasters degree in Computer Science Data Engineering SoftwareEngineeringor a related field.
• Demonstrated experience (5 years) in data engineering machine learning operations or related fields including team leadership or mentoring role.
• Advanced proficiency in programming languages such as Python Java or Scala. Comprehensive knowledge of data pipeline frameworks (e.g. Databricks) and MLOps tools (e.g. MLflow Kubeflow).
• Extensive hands-on experience with cloud platforms (e.g. AWS Google Cloud Azure) CI/CD pipelines containerization/orchestration tools (e.g. Docker Kubernetes).
• Exceptional problem-solving and analytical skills with in-depth expertise in MLOps/AgentOps architecture data modeling and database systems.
• Strong leadership and team management capabilities with the ability to motivate and inspire team members. Excellent communication and interpersonal proficiency.
• Ability to excel in a fast-paced and dynamic environment. Proven adaptability and eagerness to adopt new technologies and methodologies.
• High attention to detail and a commitment to delivering high-quality solutions. Ability to prioritize tasks and manage multiple projects concurrently.

#LI-Hybrid

The expected base salary range for this position is $ 97500.00 - $ 147500.00. Depending on your relevant experience skills qualifications market conditions and business needs base compensation may vary. You have the potential to earn more through Gore Mutuals 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.

Please note: This rangereflects the expected base salary for this role but may not represent the full compensation range for all experience and skill levels. During the recruitment process we will discuss and consider how your unique qualifications align with the broader range for this position.

Gore Mutual is proud to offer a comprehensive total rewards package which includes extended health and dental benefits disability insurance retirement plan matching paid time off recognition and perk programs.

This posting pertains to an existing vacancy that is actively being filled.

Accessibility for applicants

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.Contact usand a human resources representative will consult with you to determine an appropriate accommodation.

Should you request an accommodation during the interview process please notify your Talent Acquisition Consultant.