Day-to-day as a Technical Product Owner:- Translate broad business problems into sharp data science use cases, and craft them into product visions- Own machine learning products from ideation to implementation, prioritizing features and defining minimum viable releases to maximize the value your products generate- Guide Agile pods on continuous improvement, ensuring that the next sprint is delivered better than the previous- Work closely with stakeholders to identify and refine opportunities- Collaborate with support functions such as risk, technology, and compliance to ensure proper governance- Facilitate the professional and technical development of your colleagues through mentorship and feedback- Anticipate resource needs to scale pods up or down as products move through the model lifecycle- Champion model development standards, industry best-practices, and rigorous testing protocols to ensure model excellence- Self-direct your work by effectively prioritizing time and identifying meaningful opportunities for growth- Drive value through product, feature, and release prioritization to maximize ROI and modelling velocity- Be an exceptional collaborator in a high-interaction environment