Senior Product Owner, Data Science & AI

Product Ownership: 

• Define and prioritize features for AI/ML-driven products based on market needs and business goals. 
• Own the product roadmap, ensuring alignment with the overall strategic vision. 

Data Analytics and AI/ML Expertise: 

• Utilize data analytics and statistical knowledge to guide product decisions and improvements. 
• Collaborate with data scientists and AI/ML engineers to understand and integrate advanced technologies into the product. 

Agile Project Management: 

• Work closely with development teams using Agile methodologies, providing clear and detailed requirements. 
• Prioritize and manage the product backlog, ensuring timely delivery of features and enhancements. 

Stakeholder Collaboration: 

• Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders, to gather input and feedback. 
• Communicate effectively with stakeholders to ensure their needs are incorporated into the product roadmap. 

Technology Proficiency: 

• Possess a good understanding of technologies in the AI/ML space, including Gen AI, Azure AI, Python, and other relevant tools and frameworks. 
• Stay updated on emerging technologies in the AI/ML field and assess their potential impact on the product. 

Quality Assurance: 

• Work closely with quality assurance teams to ensure product features meet high standards of quality and performance. 
• Participate in user acceptance testing and ensure product meets user expectations.