Technical Product Owner

The Toronto-Dominion Bank (Canada); Toronto; On-site; CAD 100,000 - 140,000; Full time

Job summary

A leading financial institution in Toronto is seeking an experienced individual for a pivotal role in data science. You will be responsible for translating business challenges into machine learning applications, guiding Agile teams, and mentoring colleagues. The ideal candidate has over five years of experience in major data science projects, strong technical skills, and a master's degree in a related field. This position offers competitive compensation and comprehensive benefits.

Benefits

Health and well-being benefits

Savings and retirement programs

Career development opportunities

Reward and recognition programs

Qualifications

• Minimum five years of experience delivering major data science projects in large, complex organizations.
• Strong communication, business acumen and stakeholder management competencies.
• Certified Scrum Product Owner and/or Certified Scrum Master or equivalent experience.
• Familiarity with cloud solution architecture, Azure a plus.

Responsibilities

• Translate broad business problems into sharp data science use cases.
• Own machine learning products from vision to backlog.
• Guide Agile pods on continuous improvement.
• Work closely with stakeholders to refine opportunities for machine learning products.
• Facilitate professional and technical development through mentorship.
• Champion model development standards and testing protocols.

Skills

Machine learning

Data engineering

MLOps

Cloud solution architecture

Software development practices

Python

R

SQL

Scala

Education

Master’s degree in data science, artificial intelligence, computer science or equivalent

Job description

Overview

We are currently seeking talented individuals for a variety of positions, ranging from mid to senior levels, and will evaluate your application in its entirety.

Layer 6 is the AI research centre of excellence for TD Bank Group. We develop and deploy industry-leading machine learning systems that impact the lives of over 27 million customers, helping more people achieve their financial goals and needs.

Our research broadly spans the field of machine learning with areas such as deep learning and generative AI, time series forecasting and responsible use of AI. We have access to massive financial datasets and actively collaborate with world renowned academic faculty.

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 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

Qualifications

• Minimum five years of experience delivering major data science 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

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. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.

TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

Our Total Rewards Package

Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. 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.

Additional Information

We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.

Colleague Development

If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD – and we’re committed to helping you identify opportunities that support your goals.

Training & Onboarding

We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process

We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation

Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you!

Language Requirement (Quebec only) :

Sans Objet