Product Owner - ML Engine

at  TD Bank

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 team s .

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

• Engage analytics leads from different business es , build relationship and gather priority
• Effectively manage multiple ML engagement s, exercising judgement
• C ommunicate and opine with a product mindset , bring in expert as needed
• Coordination of a diverse set of stakeholders to put together product strategy
• W ork with tech and product leads to develop and maintain the ML Engine roa dmap , target state, and tradeoff s
• Translate business feedback to technical requiremen ts with tech lead
• Own s 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

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

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

• Engage analytics leads from different business es , build relationship and gather priority
• Effectively manage multiple ML engagement s, exercising judgement
• C ommunicate and opine with a product mindset , bring in expert as needed
• Coordination of a diverse set of stakeholders to put together product strategy
• W ork with tech and product leads to develop and maintain the ML Engine roa dmap , target state, and tradeoff s
• Translate business feedback to technical requiremen ts with tech lead
• Own s 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 time

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 experienc