TD · 20 hours ago
Technical Product Owner (Layer 6) - AI/ML Project Delivery
New York, NY
Full-time
Onsite
Entry, Mid Level
$96K/yr - $182K/yr
1+ years expTD is one of the world's leading global financial institutions, and they are seeking a Technical Product Owner to work in their AI/ML Project Delivery team. The role involves translating business problems into data science use cases, guiding Agile pods, and owning machine learning products from vision to backlog.
BankingFinanceFinancial ServicesWealth Management
Responsibilities
Translate broad business problems into sharp data science use cases, and craft use cases into product visions
Own machine learning products from vision to backlog; prioritizing features and defining minimum viable releases; maximizing the value your products generate, and the ROI of your pod
Guide Agile pods on continuous improvement, ensuring that the next sprint is delivered better than the previous
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
Facilitate the professional & technical development of your 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 need to be rebuilt
Championing model development standards, industry best-practices and rigorous testing protocols to ensure model excellence
Self-direct, with the ability to identify meaningful work in down times and effectively prioritize in busy times
Drive value through product, feature & release prioritization, maximizing ROI & modelling velocity
Be an exceptional collaborator in a high-interaction environment
The TPO (Machine Learning Engineer II) is responsible for providing technical expertise as well as developing and maintaining technical solutions that adhere to engineering and architectural design principles while meeting business requirements
This role plays a lead role in implementing solutions with a focus on efficiency, reliability, scalability, and security; includes planning, evaluating, recommending, designing, operationalizing, and supporting machine learning engineering solutions & systems in compliance with enterprise and industry standards
Expert knowledge of specific domain or range of engineering frameworks, technology, tools, processes, and procedures, as well as organization issues
Expert knowledge of TD applications, systems, networks, innovation, design activities, best practices, business / organization, Bank standards, and may fulfill a governance role
Integrates knowledge of business and functional priorities and acts as a key contributor in a complex and critical environment
Adept at technical project execution, strategic planning, and effective communication. Accountable for specialized knowledge in a field of AI/ML Engineering and may provide leadership to teams or projects, shares expertise
Applies in-depth skills and broad knowledge of the business to address complex problems and nonstandard situations
Qualification
Required
Undergraduate degree required, advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science)
1 +years relevant experience (includes post graduate experience)
Preferred
Proven professional track record of delivering major data science, AI/ML projects in large, complex organizations
Strong communication, business acumen and stakeholder management competencies
Strong technical skills: machine learning, data engineering, MLOps, cloud solution architecture, software development practices
Strong coding proficiency: python, R, SQL and / or Scala, cloud architecture
Certified Scrum Product Owner and / or Certified Scrum Master or equivalent experience
Familiarity with cloud solution architecture, Azure a plus
Master's degree in data science, artificial intelligence, computer science or equivalent experience
Benefits
Health and well-being benefits
Savings and retirement programs
Paid time off (including Vacation PTO, Flex PTO, and Holiday PTO)
Banking benefits and discounts
Career development
Reward and recognition
Company
The Toronto-Dominion Bank & its subsidiaries are collectively known as TD Bank Group (TD).
10001+ employees
H1B Sponsorship
TD has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2022 (1)
2020 (6)
Funding
Current Stage
Late StageTotal Funding
$65MKey Investors
U.S. Department of the Treasury
2023-10-03Grant· $65M
Leadership Team
Brian Jacobson
Chief of Staff to the CEO, TD Bank, America's Most Convenient Bank
F
Foster Glenn
Senior Vice President Technology and Data Risk Management
Recent News
2026-01-24
2026-01-24
Company data provided by crunchbase