Technical Product Owner

at  TD Bank

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:

• Master’s degree data science, artificial intelligence, computer science or equivalent experience
• 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 plusMaster’s degree data science, artificial intelligence, computer science or equivalent experience

Minimum Years’ Experience Level

• Intermediate level: minimum five years of experience delivering major data science projects in large, complex organizations. Experience leading and coordinating the work of others is required.
• Junior level: minimum three years of experience delivering AI/machine learning models in large, complex organizations. Experience with Generative AI is preferred.

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.

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. WE ARE HIRING FOR JUNIOR AND INTERMEDIATE LEVEL ROLES. THE ROLES CONSIST OF (BUT ARE NOT LIMITED TO) THE FOLLOWING:

You will own the delivery of machine learning solutions. 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.

Here is what you will do as a Technical Product Owner (Data Science) on the AI Everywhere team:

• 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 velocityBe an exceptional collaborator in a high-interaction environment

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:

• Master’s degree data science, artificial intelligence, computer science or equivalent experience
• 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 plusMaster’s degree data science, artificial intelligence, computer science or equivalent experienc