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Senior technical product owner

2 months ago


Old Toronto, Canada TD Full time

Lieu de travail:

Canada

Horaire:

37.5

Secteur d’activité:

Données et Analyses

Détails de la rémunération :

Nous avons à cœur d’offrir une rémunération juste et équitable à tous nos collègues. En votre qualité de candidat ou de candidate, nous vous encourageons à avoir une conversation franche avec votre recruteur et à poser des questions sur la rémunération, notamment les particularités salariales de ce poste.

Description du poste:

Department Overview

Layer 6 is a leading Canadian machine learning company and a fully owned subsidiary of TD Bank Group. Layer 6 develops advanced machine learning and deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence. We are one of the most innovative engineering shops in fintech. In the past year, the ML Engine team alone filed over 10 patents in ML Engineering and Software Engineering. As part of the ML Engine team you'll be at the core of bringing machine learning to life for our customers and colleagues.

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. 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 machine learning (ML) workstream priorities, exercising judgement
  • Communicate and opine with a product mindset, bring 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
  • Own the ML engine product adoption from vision to backlog; identify new opportunities and prioritize features to define minimum viable releases; maximizing the value and the ROI of the ML Engine team
  • 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/must-have requirements and attributes:

  • Minimum 3 years of experience delivering major data science projects in large, complex organizations
  • 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
  • Strong communication, business acumen and stakeholder management competencies
  • A track record of driving product adoption and growth
  • 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
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