Ai Product Manager And Scrum Master.
Current1. Researching the AI and industry-specific trends and Identifying opportunities where advanced analytics and AI/ML can solve specific needs.2. Developed a compelling product vision and communicate that vision.3. Managing the product roadmap that maps future releases to long-term product strategy4. Delivering the product increments using Agile best practices for data science5. Defining the Minimal Viable Product (MVP) and building effective feedback loops6. Managing the… Show more 1. Researching the AI and industry-specific trends and Identifying opportunities where advanced analytics and AI/ML can solve specific needs.2. Developed a compelling product vision and communicate that vision.3. Managing the product roadmap that maps future releases to long-term product strategy4. Delivering the product increments using Agile best practices for data science5. Defining the Minimal Viable Product (MVP) and building effective feedback loops6. Managing the product backlog and Managing a list of product ideas.7. Breaking down the backlog into bite-sized pieces of value and ensuring the backlog is transparent and understood.8. Prioritizing the backlog items and steering product development. 9. Identifying the appropriate model and business outcome metrics to measure the product success; includes monitoring and tracking model and product performance using multiple metrics,10. Working with data scientists, ML engineers, analysts, and software developers to guiding the development of the product11. Driving market success such as connecting with the marketing teams to launch the product.12. Owning the product throughout the entire data science product life cycle. This extends beyond the project to make the product and includes ML Ops.13. Driving value from the product by evangelizing usage and (if needed) monetizing the product 14. Ensuring product and data usage meets the responsible AI best practices. Show less