Director, MLOps (Canada)

Manulife; Southwestern Ontario; Hybrid; CAD 155,000 - 206,000; Full time

Job summary

A leading financial services provider in Ontario is seeking a Director of MLOps to drive AI transformation. This role involves defining MLOps capabilities and designing scalable AI solutions. The ideal candidate will have over 8 years of experience in Data Science or AI Engineering, strong communication skills, and a Master's degree. The position offers competitive pay and a hybrid work arrangement.

Benefits

Health and Dental Insurance

Mental Health Benefits

Retirement Savings Plans

Generous Paid Time Off

Qualifications

• 8+ years of experience in Data Science, Machine Learning, or AI Engineering.
• Proven track record in designing and implementing scalable ML pipelines.
• Strong understanding of data assets, platforms, and advanced analytics concepts.

Responsibilities

• Define and architect MLOps capabilities and AI tools.
• Design solutions for model development, deployment, and monitoring.
• Establish best practices for model validation and performance monitoring.

Skills

Data Science

Machine Learning

AI Engineering

MLOps

Solution Architecture

Excellent Communication Skills

Education

Master's degree in Computer Science, Data Science, Engineering, or related quantitative fields

Tools

Cloud Technologies

MLOps Frameworks

Job description

Director, MLOps (Canada Segment)

This is a pivotal opportunity to shape Canada’s AI transformation through advanced MLOps capabilities. The Director will architect and operationalize solutions that enable scalable, reusable AI deployments across segments. This role offers the chance to set the vision for MLOps, influence enterprise architecture, and collaborate globally to accelerate innovation and measurable business impact.

Position Responsibilities

• Define and architect MLOps capabilities and AI tools to support Canada’s cross‑segment initiatives and ensure scalability and reuse.
• Design solutions that enable model development, deployment, and monitoring across multiple use cases.
• Establish best practices for model validation, performance monitoring, and lifecycle management.
• Co‑design solutions with global AI teams, IT, and data teams to align with enterprise standards and leverage shared platforms.
• Drive R&D for advanced AI capabilities, ensuring integration with modern cloud‑based platforms and data assets.
• Act as the subject matter expert for MLOps, guiding teams on automation, CI/CD for ML, and operationalization of AI models.

Required Qualifications

• 8+ years of experience in Data Science, Machine Learning, or AI Engineering, with a strong focus on MLOps and solution architecture.
• Proven track record in designing and implementing scalable ML pipelines and platforms in enterprise environments.
• Expertise in model development, validation, and deployment using modern cloud technologies and MLOps frameworks.
• Strong understanding of data assets, platforms, and advanced analytics concepts.
• Ability to lead cross‑functional initiatives and collaborate with global teams.
• Excellent communication skills to influence technical and business stakeholders.
• Master’s degree or equivalent experience in Computer Science, Data Science, Engineering, or related quantitative fields.

Preferred Qualifications

• Familiarity with cloud AI platforms and enterprise architecture.
• Experience in financial services or regulated industries.
• Knowledge of ethical AI frameworks and regulatory compliance.

When You Join Our Team

We’ll empower you to learn and grow the career you want.
We’ll recognize and support you in a flexible environment where well‑being and inclusion are more than just words.
As part of our global team, we’ll support you in shaping the future you want to see.

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html .

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy‑related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact [e-mail].

Referenced Salary Location

Toronto, Ontario

Working Arrangement

Hybrid

Salary range is expected to be between

$155,270.00 CAD - $205,270.00 CAD.

If you are applying for this role outside of the primary location, please contact [e-mail] for the salary range for your location. The actual salary will vary depending on local market conditions, geography and relevant job‑related factors such as knowledge, skills, qualifications, experience, and education/training. Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance.

Manulife offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short‑ and long‑term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays, vacation, personal, and sick days, and we offer the full range of statutory leaves of absence. If you are applying for this role in the U.S., please contact [e-mail] for more information about U.S.-specific paid time off provisions.