AI ML Product Owner

Job Title: AI ML Product owner

Location: Chennai, Hyderabad

Experience: 10-20 Years

• Min Overall 10+ years of industry experience
• Min 7 years Hands on experience as a AI/ML Product Owner/Business Analyst.
• Bachelors degree in Computer Science, Information technology or Data science
• AI/ML Certifications is must.
• Lead the development and delivery of machine learning & Artificial Intelligence products and services by working with product, engineering, and design teams
• Develop and maintain product roadmap, product specs, and requirements
• Experience communicating the benefits of AI/ML products to diverse audience
• Gather and prioritize customer feedback and requirements
• Work closely with product, engineering, and design teams to ensure product quality and customer satisfaction
• Analyze data and customer feedback to identify and prioritize product improvements
• Stay up-to-date on machine learning technology and trends
• Intermediate proficiency in one or more programming languages, including R, Python, Spark, and others
• Outstanding written and verbal communication skills, able to explain complicated AI models using easy to understand language
• Progressive thinking and problem solving, with a strong ability to manage ambiguity/complexity
• Proven experience working as a data/AI Product Owner or managing data/AI projects using Agile processes
• Define the strategic vision for MLP, objectives, key results and success metrics in partnership with Engineering and in alignment with broader business objectives.
• Collect feedback and understand user needs from ML/AI practitioners and application engineers deriving product requirements and sizing their importance to then prioritize areas of investment.
• Ensure product success throughout the entire lifecycle of strategically important initiatives, from ideation to full launch and ongoing support.
• Socialize strategic plans, roadmaps, and ongoing progress to stakeholders and executives in product review forums, quarterly Deliverables etc.
• Create programs around user education and support for users of the ML Platform.
• Follow and assess external industry trends and innovations.