Technical Product Owner - AI & Machine Learning Solutions
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Key skills for this role
About the Role
TD is seeking a Technical Product Owner to lead cross-functional teams delivering AI, Machine Learning, and Generative AI solutions. You will translate business objectives into technically feasible AI/ML solutions, define roadmaps, and ensure production-grade delivery.
Key Skills for This Role
Responsibilities
- Lead cross functional teams of machine learning scientists, machine learning engineers, data scientists and software engineers to deliver production grade AI solutions
- Work closely with stakeholders to identify, refine and occasionally reject opportunities to build machine learning products; collaborate with support functions such as risk, technology, model risk management and incorporate interfacing features
- Translate business objectives into technically feasible AI/ML solutions and articulate trade offs related to architecture, implementation complexity, scalability, risk, and model performance
- Develop the vision, strategy, and roadmap for AI technical products and capabilities that meet business objectives and maintain TD at the forefront of AI research and development
- Maintain an in depth understanding of the solution, architecture, and technical implementation details to effectively challenge design decisions, assess delivery trade offs, and prioritize development work
- Facilitate the professional and technical development of colleagues through mentorship and feedback
- Anticipate resource needs as solutions move through the model lifecycle, scaling pods up and down as models are built, perform, degrade and require enhancement
- Establish and uphold AI/ML engineering standards, best practices, and quality controls, while providing informed challenge on model design, MLOps, data architecture, and production readiness decisions
- Lead the definition of cloud native AI/ML solution architectures and operational strategies, partnering with engineering and architecture teams to ensure scalable deployment, monitoring, and lifecycle management of production AI systems
- Ensure AI solutions meet enterprise standards for security, governance, model risk management, responsible AI, compliance, operational resilience, and auditability
- Define, measure, and communicate the business value delivered by your products, connecting model performance to measurable business outcomes and enterprise AI value targets
Requirements
- 5+ years of experience delivering complex AI, machine learning, data science, advanced analytics, or software products in large scale enterprise environments
- 3+ years of experience leading cross functional technical delivery teams consisting of machine learning engineers, data scientists, software engineers, and MLOps practitioners
- Deep understanding of machine learning, generative AI, large language models, retrieval systems, model evaluation techniques, data engineering, MLOps, and software development practices
- Ability to evaluate technical designs and challenge architecture decisions while partnering effectively with engineering and research teams
- Strong technical proficiency in Python, SQL, and modern software engineering practices including version control, CI/CD, automated testing, observability, and deployment automation
- Familiarity with model risk management and AI governance in regulated industries
- Advanced degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, Mathematics, or a related technical field; or equivalent practical experience delivering complex AI/ML solutions
Full Job Posting
Job Description
- Layer 6 is the AI research centre of excellence for TD Bank Group, developing and deploying industry leading machine learning systems impacting over 27 million customers.
- This is a highly technical role focused on the delivery of AI, Machine Learning, and Generative AI solutions.
- Successful candidates will have hands on experience working with machine learning engineers, data scientists, software engineers, and cloud/platform teams to deliver production AI systems.
Day to day as a Technical Product Owner
- Lead cross functional teams of machine learning scientists, machine learning engineers, data scientists and software engineers to deliver production grade AI solutions.
- Work closely with stakeholders to identify, refine and occasionally reject opportunities to build machine learning products; collaborate with support functions such as risk, technology, model risk management and incorporate interfacing features.
- Translate business objectives into technically feasible AI/ML solutions and articulate trade offs related to architecture, implementation complexity, scalability, risk, and model performance.
- Develop the vision, strategy, and roadmap for AI technical products and capabilities that meet business objectives and maintain TD at the forefront of AI research and development.
- Maintain an in depth understanding of the solution, architecture, and technical implementation details to effectively challenge design decisions, assess delivery trade offs, and prioritize development work in alignment with business and technical requirements.
- Facilitate the professional and technical development of colleagues through mentorship and feedback.
- Anticipate resource needs as solutions move through the model lifecycle, scaling pods up and down as models are built, perform, degrade and require enhancement.
- Establish and uphold AI/ML engineering standards, best practices, and quality controls, while providing informed challenge on model design, MLOps, data architecture, and production readiness decisions.
- Lead the definition of cloud native AI/ML solution architectures and operational strategies, partnering with engineering and architecture teams to ensure scalable deployment, monitoring, and lifecycle management of production AI systems.
- Ensure AI solutions meet enterprise standards for security, governance, model risk management, responsible AI, compliance, operational resilience, and auditability.
- Define, measure, and communicate the business value delivered by your products, connecting model performance to measurable business outcomes and enterprise AI value targets.
Job Requirements
- 5+ years of experience delivering complex AI, machine learning, data science, advanced analytics, or software products in large scale enterprise environments.
- 3+ years of experience leading cross functional technical delivery teams consisting of machine learning engineers, data scientists, software engineers, and MLOps practitioners.
- Deep understanding of machine learning, generative AI, large language models, retrieval systems, model evaluation techniques, data engineering, MLOps, and software development practices.
- Ability to evaluate technical designs and challenge architecture decisions while partnering effectively with engineering and research teams.
- Strong technical proficiency in Python, SQL, and modern software engineering practices including version control, CI/CD, automated testing, observability, and deployment automation.
- Familiarity with model risk management and AI governance in regulated industries.
- Advanced degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, Mathematics, or a related technical field; or equivalent practical experience delivering complex AI/ML solutions.
Pay Details
- CAD 140,000 CAD 240,000 CAD per year.
- The pay details posted reflect a temporary market premium specific to this role that is reassessed annually.
- Base pay actually offered may vary based on candidate's skills and experience, job related knowledge, geographic location, and other specific business and organizational needs.
Total Rewards Package
- Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.
Who We Are
- TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores.
- More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience.
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