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Product Owner

3 months ago

Old Toronto, Canada TD Bank Full time
Product Owner - ML Engine

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:

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 priority
  • Effectively manage multiple ML engagements, exercising judgement
  • Communicate and opine with a product mindset, bring in expert as needed
  • Coordination of 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 opportunity as well as new features for current users
  • Self-direct, with the ability to identify meaningful work in down times 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 data science, artificial intelligence, computer science or equivalent experience

À propos de nous: La TD est un chef de file mondial dans le secteur des institutions financières. Elle représente la cinquième banque en Amérique du Nord de par son nombre de succursales. Chaque jour, nous offrons une expérience client légendaire à plus de 27 millions de ménages et d’entreprises au Canada, aux États-Unis et partout dans le monde.

Notre programme de rémunération globale
Notre programme de rémunération globale reflète les investissements que nous faisons pour aider nos collègues et leur famille à atteindre leurs objectifs en matière de bien-être mental, physique et financier.

Renseignements supplémentaires:
Nous sommes ravis que vous envisagiez une carrière à la TD. Sachez que nous avons à cœur d’aider nos collègues à réussir dans leur vie tant personnelle que professionnelle.

Exigences linguistiques: N/A.

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