Translate broad business problems into sharp data science use cases, and craft them into product visionsOwn machine learning products from ideation to implementation, prioritizing features and defining minimum viable releases to maximize the value your products generateGuide Agile pods on continuous improvement, ensuring that the next sprint is delivered better than the previousWork closely with stakeholders to identify and refine opportunitiesCollaborate with support functions such as risk, technology, and compliance to ensure proper governanceFacilitate the professional and technical development of your colleagues through mentorship and feedbackAnticipate resource needs to scale pods up or down as products move through the model lifecycleChampion model development standards, industry best-practices, and rigorous testing protocols to ensure model excellenceSelf-direct your work by effectively prioritizing time and identifying meaningful opportunities for growthDrive value through product, feature, and release prioritization to maximize ROI and modelling velocityBe an exceptional collaborator in a high-interaction environment