Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Manager Data Engineering-ML Ops role.
Rezi rewrites your resume against Gore Mutual Insurance's job description. Free.
Tailor your resume to this Manager Data Engineering-ML Ops role.
Rezi rewrites your resume against Gore Mutual Insurance's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Manager Data Engineering-ML Ops posting at Gore Mutual Insurance — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Manager Data Engineering-ML Ops posting at Gore Mutual Insurance — free, in seconds.
About the Role
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.
Responsibilities
- Design, build, and maintain data pipelines 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 vulnerabilities.
- 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.
Requirements
- 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.
- 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.
- In-depth expertise in data architecture, data modeling, and database systems.
- Strong leadership and team management capabilities.
- 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.
Skills
- Python
- Java
- Scala
- Databricks
- MLflow
- Kubeflow
- AWS
- Google Cloud
- Azure
- Docker
- Kubernetes
- Data Architecture
- Data Modeling
- Database Systems
- Leadership
- Team Management
- Communication
- Interpersonal Skills
- Problem-Solving
- Analytical Skills
- Adaptability
- Attention to Detail
Location
- Hybrid
Work Type
- Hybrid
Experience Level
- 5+ years in data engineering, machine learning operations, or related fields
- Minimum of 2 years in a leadership or managerial role
Education Level
- Bachelor’s or master’s degree in computer science, Data Engineering, Software Engineering or a related field
Salary/Compensations
- $118,500 - $168,500
Benefits
- Extended health and dental benefits
- Disability insurance
- Retirement plan matching
- Paid time off
- Recognition and perk programs
About the Company
- At Gore Mutual, we’ve always set ourselves apart as a modern mutual that does good.
- 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.
Equal Opportunity
- 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 us and 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.