AI/ML Technical Product Owner

Work Location:

New York, New York, United States of America

Hours:

40

Line of Business:

Technology Solutions

Pay Detail:

$120,000 - $160,000 USD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs. 

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

Preferred Qualifications

We are seeking a highly motivated and experienced AI Technical Product Owner to join our dynamic Applied AI/ML team at TDS. You will play a crucial role in gathering business requirements, writing user stories, designing and implementing effective technology solutions, and driving product roadmaps for our AI initiatives.

We are always looking for people driven to be at the cutting edge of machine learning in research, engineering, and impactful applications.

Responsibilities

• Translate broad business problems into sharp AI/ML use cases, and craft use cases into product visions.
• Help intake and assess AI use cases submitted by business for review and bring in required stakeholders to consider moving the use case through the approval process.
• 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.
• Develop and maintain user documentation and training materials for new system implementations.
• 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.
• Champion 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, and release prioritization, maximizing ROI & modeling velocity.
• Be an exceptional collaborator in a high-interaction environment.
• Serve as the TDS representative for all Enterprise-wide AI initiatives (M365 CoPilot).
• Assist in drafting model development reports and enforce enterprise AI governance standards for all AI/ML projects across the investment bank.

 

Business Skills

• Stakeholder management & communication
• Business process analysis & improvement
• Product roadmap development
• User story creation and prioritization
• Market and competitive analysis
• Presentation & negotiation skills
• Risk assessment & mitigation.
• Change management.
• Data analysis & reporting

Technical Skills

• Coding ability in Python, R, Java, SQL, and/or Scala.
• Familiarity with AI and related concepts such as machine learning, LLMs, data engineering, MLOps is a plus.
• Knowledge of cloud architecture, with experience in Azure or GCP being a plus.
• Understanding of best practices in software development (plus).

Qualifications

• Master’s degree in data science, artificial intelligence, computer science, operations research, or related fields.
• Certified Scrum Product Owner and/or Certified Scrum Master, or equivalent experience, is a significant plus.