Technical Product Owner - AI & Machine Learning Solutions
Job Fit Check
Base Career helps you apply smarter for this job.
Key skills for this role
About the Role
TD Bank's Layer 6 AI research centre seeks a Technical Product Owner to lead delivery of AI/ML solutions. The role involves managing cross-functional teams, defining product strategy, and ensuring technical excellence.
Key Skills for This Role
Responsibilities
- Lead cross functional teams of machine learning scientists, engineers, data scientists and software engineers to deliver production grade AI solutions
- Work with stakeholders to identify, refine and occasionally reject opportunities to build machine learning products
- Translate business objectives into technically feasible AI/ML solutions and articulate trade offs
- Develop vision, strategy, and roadmap for AI technical products and capabilities
- Maintain in depth understanding of solution architecture and technical implementation details
- Facilitate professional and technical development of colleagues through mentorship and feedback
- Establish and uphold AI/ML engineering standards, best practices, and quality controls
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
- Deep understanding of machine learning, generative AI, large language models, retrieval systems, model evaluation, data engineering, MLOps, and software development
- Strong technical proficiency in Python, SQL, and modern software engineering practices
- Familiarity with model risk management and AI governance in regulated industries
- Advanced degree in Computer Science, AI, Machine Learning, Data Science, Engineering, Mathematics, or related field; or equivalent practical experience
Full Job Posting
Job Description
- Layer 6 is the AI research centre of excellence for TD Bank Group.
- We develop and deploy industry leading machine learning systems that impact over 27 million customers.
- This is a highly technical role focused on the delivery of AI, Machine Learning, and Generative AI solutions.
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.
- Translate business objectives into technically feasible AI/ML solutions and articulate trade offs.
- Develop the vision, strategy, and roadmap for AI technical products and capabilities.
- Maintain an in depth understanding of the solution, architecture, and technical implementation details.
- Facilitate the professional and technical development of colleagues through mentorship and feedback.
- Anticipate resource needs as solutions move through the model lifecycle.
- Establish and uphold AI/ML engineering standards, best practices, and quality controls.
- Lead the definition of cloud native AI/ML solution architectures and operational strategies.
- 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.
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.
- 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.
Our Total Rewards Package
- Base salary, variable compensation, health and well being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.
Apply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at TD
Bus Sys Analysis Specialist
Toronto, CAN
TD seeks a Bus Sys Analysis Specialist to provide technical expertise in Global Regulatory Reporting. You will plan, manage, and lead system requirements delivery, partnering with regulatory reporting operations and tech
Credit Analyst II, Agricultural Services
Abbotsford, CAN
TD is seeking a Credit Analyst II for Agricultural Services to structure credit for assigned portfolios, assess credit worthiness, and underwrite new credit requests. The role involves preparing credit packages, completi
Customer Experience Associate
Vancouver, CAN
TD Bank is seeking a part-time Customer Experience Associate to create exceptional customer experiences and perform financial transactions at a Vancouver branch. The role requires high school diploma and 1+ years of rele
Data Engineer I
Toronto, CAN
TD is seeking a Data Engineer I to join the Data Strategy & Implementation team. You will design, build, and debug Databricks notebooks and ETL pipelines, onboard new data sources, and ensure reliable data flow for analy
Operations Control QA Analyst II
Toronto, CAN
TD is looking for an Operations Control QA Analyst II to support reconciliations and reporting for TD Wealth in Toronto, ON. You will manage complex reconciliations, analyze controls, support audits, and drive process im
Senior Specialized HR Manager, Practice Excellence & Enablement (Organizational Effectiveness)
Toronto, CAN
TD is seeking a Senior Manager to lead practice excellence and enablement within the Organization Effectiveness Centre of Excellence. You will establish operating rhythms, manage workflows, develop playbooks, and drive s
Full Stack Data Science Engineer
Toronto, CAN
TD is seeking a Full Stack Data Science Engineer to join a high-impact analytics team. The role involves leading end-to-end performance diagnostics, designing scalable analytics assets, and implementing AI/ML models. Can
Senior Credit Risk Analyst (ATH 5209)
Toronto, CAN
TD is seeking a Senior Credit Risk Analyst to perform IFRS 9 Expected Credit Loss analysis and forecasting for Canadian Retail Credit Products. You will lead ECL analysis, develop credit loss estimate techniques, and sup
Bus Sys Analysis Specialist
Toronto, CAN
Credit Analyst II, Agricultural Services
Abbotsford, CAN
Customer Experience Associate
Vancouver, CAN
Data Engineer I
Toronto, CAN
Operations Control QA Analyst II
Toronto, CAN
Senior Specialized HR Manager, Practice Excellence & Enablement (Organizational Effectiveness)
Toronto, CAN
Full Stack Data Science Engineer
Toronto, CAN
Senior Credit Risk Analyst (ATH 5209)
Toronto, CAN