computer systems business analyst
Title posted on CareerBeacon -
Senior Technical Product Owner - ML Engine
Posted on
September 06, 2024
by
Employer details
TD Bank
Job details
Work Location:CanadaHours:37.5Line of Business:Data & AnalyticsPay Details:We're committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with a member of our HR Team and ask compensation related questions, including pay details for this role.Job Description:Department OverviewLayer 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 DescriptionMelding 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 relationship and gather prioritiesEffectively manage multiple machine learning (ML) workstream priorities, exercising judgementCommunicate and opine with a product mindset, bring in experts as neededCoordination of a diverse set of stakeholders to put together product strategyWork with tech and product leads to develop and maintain the ML Engine roadmap, target state, and tradeoffsOwns the ML engine product adoption from vision to backlog; identify new opportunity and prioritize features to define minimum viable releases; maximizing the value and the ROI of the ML Engine teamBe an exceptional collaborator in a high-interaction environmentJob RequirementsWhat 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 organizationsStrong technical skills: machine learning, data engineering, MLOps, cloud solution architecture, software development practicesStrong coding proficiency: python, R, SQL and / or Scala, cloud architecture a plusStrong communication, business acumen and stakeholder management competenciesA track record of driving product adoption and growthFamiliarity with cloud solution architecture, Azure a plusCertified Scrum Product Owner and / or Certified Scrum Master or equivalent experience a plusMaster's degree data science, artificial intelligence, computer science or equivalent experienceWho 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
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LocationToronto, ON
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Workplace information
On site
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SalaryNot available
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Terms of employment
Full time
- Start date
Starts as soon as possible
- vacancies
1 vacancy
- Source
CareerBeacon
#2107740
Advertised until
2024-10-05
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