Manager, Data Engineering-ML Ops

Toronto - Canada

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

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 models. It plays a pivotal role in strategizing designing and implementing robust data pipelines ensuring the scalability and reliability of our ML systems and collaborating with cross-functional teams to advance our data-driven initiatives.

You will also oversee a team of data engineers and be responsible for building a data centric culture within the team.

What will you do

Data Pipeline/ ML Model Deployment

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.

Strategy and Planning

Define the vision strategy and roadmap for data engineering and ML Ops in alignment with the companys goals.
Ensure the scalability reliability and efficiency of 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 ML Ops 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 ML Ops technologies and methodologies.
Implement best practices and drive continuous improvement initiatives to enhance the efficiency and effectiveness of our ML systems.

What will you need to succeed in this role

Bachelors or masters 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.g. Databricks) and ML Ops tools (e.g. MLflow Kubeflow).
Extensive hands-on experience with cloud platforms (e.g. AWS Google Cloud Azure) and containerization/orchestration tools (e.g. Docker Kubernetes).
Exceptional problem-solving and analytical skills with in-depth expertise in data 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

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.

Required Experience:

Manager

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...