TD Securities · 20 hours ago
Technical Product Owner (Layer 6) - AI/ML Project Delivery
New York, NY
Full-time
Onsite
Mid, Senior Level
$96K/yr - $182K/yr
1+ years expTD Securities is a leading global financial institution and the fifth largest bank in North America. They are seeking a Technical Product Owner for their AI/ML Project Delivery team, responsible for translating business problems into data science use cases and managing machine learning products from vision to backlog.
BankingFinanceFinancial Services
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
Execute on Engineering strategy as it relates to the introduction of tools and the automation of build, test, release and configure activities across Application, Platform and Infrastructure. Partners with the Operations team to automatically integrate with appropriate tools and processes as part of automated/self-serve Application, Platform, or Infrastructure releases
Work with partners across Technology and apply in depth understanding of relevant business needs to identify and leverage synergies across the various areas
Act as the expert or lead innovator and agent of change for the programs and services under management
Work with other teams to implement best practices for engineering and management and serve as an ambassador for ML Engineering
Work with vendor platform providers and engineering peers to keep abreast of trends, products, frameworks, and applications
Identify and effectively manage stakeholder engagement and impacts across the enterprise
Interpret client needs, assess engineering related requirements, and identify solutions to non-standard requests
Participates in cross-functional / enterprise / initiatives as a subject matter expert helping to identify risk / provide guidance for complex situations
Conducts internal and external research projects; supports the development / delivery of presentations / communications to management or broader audience
Conducts meaningful analysis at the functional or enterprise level using results to draw conclusions, makes recommendations, assess the effectiveness of programs / policies / practices
Monitors service, productivity and assesses efficiency levels within own function and implement continuous process / performance improvements where opportunities exist
Leads / facilitates and/or implements actions / remediation plans to address performance / risk / governance issues
Actively manages relationships within and across various business lines, corporate and/or control functions and ensures alignment with enterprise and/or regulatory requirements
Keeps abreast of emerging issues, trends, and evolving regulatory requirements and assesses potential impacts
Maintains a culture of risk management and control, supported by effective processes in alignment with risk appetite
Participates fully as a member of the team, supports a positive work environment that promotes service to the business, quality, innovation and teamwork and ensures timely communication of issues / points of interest
Provides thought leadership and/ or industry knowledge for own area of expertise in own area and participate in knowledge transfer within the team and business unit
Keeps current on emerging trends/ developments and grow knowledge of the business, related tools and techniques
Participates in personal performance management and development activities, including cross training within own team
Keeps others informed and up to date about the status / progress of projects and/or all relevant or useful information related to day-to-day activities
Contributes to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices
Leads, motivates and develops relationships with internal and external business partners / stakeholders to develop productive working relationships
Contributes to a fair, positive and equitable environment that supports a diverse workforce
Qualification
Required
Undergraduate degree required, advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred with either progressive project work experience or 1 +years relevant experience (includes post graduate experience)
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
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
TD Securities
TD Securities is an investment banking that offers global transaction, M&A advisory, foreign exchange, and equity research services.
5001-10000 employees
H1B Sponsorship
TD Securities 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
2025 (70)
2024 (49)
2023 (37)
2022 (31)
2021 (27)
2020 (30)
Funding
Current Stage
Late StageLeadership Team
Rona Ambrose
Deputy Chairwoman
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