Technical Product Owner
$130k - $200k per yearFull-time
TD
Work Location:
Toronto, Ontario, Canada
37.5 Line of Business:
Analytics, Insights, & Artificial Intelligence Pay Details:
$130,000 - $200,000 CAD The pay details posted reflect a temporary market premium specific to this role that is reassessed annually. 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: 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. Day-to-day as a Technical Product Owner:
- 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
- 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
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. Learn more 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. If you're passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact. We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best. 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
Vacancy posted 4 days ago
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