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Product Owner

2 months ago


Golden Horseshoe Ontario, CA The Toronto-Dominion Bank Full time
Product Owner - ML Engine

Work Location: Canada

Hours: 37.5

Line of Business: Data & Analytics

Pay Details: We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with a member of our HR Team and ask compensation related questions, including pay details for this role.

Job Description:

Melding expertise in data science, technology, and product management, you embrace the challenge of solving strategic business problems with innovative, scalable products. You are a natural collaborator and influencer. You resolve complex technical problems and effectively communicate to your audience, both technical & not, to achieve a common vision. You have a passion for building a better solution, every time. You naturally provide your colleagues with the inspiration and tools to execute with speed and impact, becoming true leaders themselves.

You will own the strategy and roadmap for our ML Engine, the framework powering AI/ML across the bank. You will work closely with the tech lead, Layer 6 and AI/ML team leads, and our engineering teams.

Here is what you will do as a Product Owner (Data Science) on the ML Engine team:

  • Engage analytics leads from different businesses, build relationships and gather priorities
  • Effectively manage multiple ML engagements, exercising judgement
  • Communicate and opine with a product mindset, bringing in experts as needed
  • Coordinate a diverse set of stakeholders to put together product strategy
  • Work with tech and product leads to develop and maintain the ML Engine roadmap, target state, and tradeoffs
  • Translate business feedback to technical requirements with tech lead
  • Own Atlantis product adoption from vision to backlog; prioritizing features and defining minimum viable releases; maximizing the value your products generate, and the ROI of the ML Engine group
  • Drive adoption and engagement, identify new opportunities as well as new features for current users
  • Self-direct, with the ability to identify meaningful work in downtimes and effectively prioritize in busy times
  • Be an exceptional collaborator in a high-interaction environment

Job Requirements:

What can you bring to TD? Tell us about your most relevant experience, credentials, and knowledge for this role, as well as these essential requirements and attributes:

  • Minimum 7 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 a plus
  • Familiarity with cloud solution architecture, Azure a plus
  • Certified Scrum Product Owner and/or Certified Scrum Master or equivalent experience 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.

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.

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.

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.

Language Requirement: N/A.

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