Manulife
Director,MLOps
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“Director, MLOps at Manulife. Skills: MLOps, AI Engineering, solution architecture, cloud platforms, GenAI, agentic systems. architect and operationalize solutions that enable scalable, reusable, and well governed AI deployments. set the vision for MLOps in Canada”
What You'll Achieve.
scalable, reusable, and well governed AI deployments; measurable, sustainable business impact; AI initiatives translate into measurable, sustainable business impact
Industry & Context.
architect and operationalize solutions; Design solutions; problem-solving
What They're Looking For.
Must Have
8+ years of experience in Data Science, Machine Learning Engineering, MLOps, or AI Engineering, Proven track record in designing and implementing scalable ML pipelines, real time/near real time scoring systems and AI platforms in enterprise environments, Expertise in model development validation, deployment, GenAI workflows, agent orchestration, and monitoring using modern cloud (Azure preferred) and MLOps frameworks, validation, and deployment using modern cloud technologies and MLOps frameworks, understanding of data assets, platforms, and advanced analytics concepts, Ability to lead cross-functional initiatives and collaborate with IT, InfoSec, data governance and global AI teams, Excellent communication skills, Master’s degree or equivalent experience in Computer Science, Data Science, Engineering, or related quantitative fields, Experience with agentic AI platforms, orchestration frameworks (e. g. , LangChain style, Azure Agent Services), Adaptive ML, Akka and safe integration into enterprise systems
Nice to Have
Familiarity Expertise with cloud AI platforms and enterprise architecture a nd modern LLMOps frameworks, Experience in financial services or regulated industries, Knowledge of ethical AI frameworks, model governance, security patterns for GenAI, and regulatory compliance (e. g. , model risk policies)
What You'll Do.
architect and operationalize solutions that enable scalable
and well governed AI deployments
set the vision for MLOps in Canada
drive alignment with our global AI organization and partnering technology teams
ensure consistency in patterns
and delivery practices
leading change management—helping teams adopt new processes
modernize ways of working
and increase trust in AI powered solutions
enabling fast learning cycles that accelerate innovation while maintaining high standards of security
influence enterprise architecture and ensure that AI initiatives translate into measurable
sustainable business impact
Define and architect MLOps capabilities and AI tooling
Hands-on implementation of MLOps solutions
integration with new platforms
enabling the team of data scientists with infrastructure
Design solutions that enable model development
CI/CD automation and monitoring
Implement and establish best practices for model validation
performance monitoring
and lifecycle management
Co-design solutions with global AIOps/MLOps teams
Drive R&D for advanced AI capabilities
ensuring integration with modern cloud-based platforms
agentic systems and next generation LLMOps tooling
Act as the subject matter expert for MLOps
guiding teams on automation
operational excellence
and model runtime optimization and operationalization of AI models
Ensure reliable environments (dev/test/prod/sandbox) are available
and ready for development and productionized AI workloads
Partners with product owners
business stakeholders and data scientists define clear pathways from experimentation to production
How You'll Work.
Team & Collaboration
partnering technology teams; Working across business, engineering, and data science teams; Co-design solutions with global AIOps/MLOps teams, IT, and data teams; Ability to lead cross-functional initiatives and collaborate with IT, InfoSec, data governance and global AI teams; Partners with product owners, business stakeholders and data scientists
Communication Scope
Excellent communication skills influence technical and business stakeholders
Process & Methodology
lead cross-functional initiatives
Full Job Description
This is a pivotal opportunity to shape Canada’s AI transformation through modern, enterprise grade MLOps capabilities. The Director will architect and operationalize solutions that enable scalable, reusable, and well governed AI deployments across segments. You will set the vision for MLOps in Canada, drive alignment with our global AI organization and partnering technology teams, and ensure consistency in patterns, tooling, and delivery practices. A critical part of the role includes leading change management—helping teams adopt new processes, modernize ways of working, and increase trust in AI powered solutions. The role also requires strong skills in experimentation and rapid prototyping, enabling fast learning cycles that accelerate innovation while maintaining high standards of security, compliance, and reliability. Working across business, engineering, and data science teams, you will influence enterprise architecture and ensure that AI initiatives translate into measurable, sustainable business impact. **Position Responsibilities:** * Define and architect MLOps capabilities and AI tooling to support Canada’s cross-segment initiatives and ensure scalability, governance and reuse. * Hands-on implementation of MLOps solutions, integration with new platforms and enabling the team of data scientists with infrastructure * Design solutions that enable model development, deployment, CI/CD automation and monitoring across multiple use cases. * Implement and establish best practices for model validation, risk assessment, performance monitoring, and lifecycle management. * Co-design solutions with global AIOps/MLOps 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, agentic systems and next generation LLMOps tooling. * Act as the subject matter expert for MLOps, guiding teams on automation, CI/CD for ML, observability, operational ex
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