Technical Product Manager ensuring seamless integrations for Docebo's AI - powered learning platform. Focusing on managing enterprise ecosystem for client success through connector development.
About the role
- Technical Product Owner managing machine learning products at TD's AI research centre. Collaborating with Agile teams to optimize product development and drive ROI.
Responsibilities
- 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
Requirements
- 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
Benefits
- Health and well-being benefits
- Savings and retirement programs
- Paid time off
- Banking benefits and discounts
- Career development
- Reward and recognition programs
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