Job
Description
Role Overview: As the AI Product Owner, you will have a crucial role in shaping and delivering innovative AI-driven solutions within the Technology department. Your strategic mindset, deep domain expertise, and ability to bridge business objectives with technical execution are essential for this senior-level position. Key Responsibilities: - Define Product Vision & Strategy: - Collaborate with stakeholders to understand business objectives and translate them into a clear AI product vision. - Develop and maintain a strategic roadmap for AI initiatives, ensuring alignment with organizational goals. - Backlog Management: - Own and prioritize the AI product backlog, balancing business value and technical feasibility. - Write and refine user stories and acceptance criteria for AI features. - Cross-Functional Collaboration: - Act as the liaison between business stakeholders, data scientists, engineers, and designers. - Facilitate effective communication to ensure shared understanding of product goals and deliverables. - Sprint Planning & Execution: - Participate in Agile ceremonies including sprint planning, reviews, and retrospectives. - Guide development teams to deliver high-quality AI features on schedule. - Data & Model Oversight: - Identify and evaluate data sources for AI model training and validation. - Collaborate on the development, deployment, and monitoring of machine learning models. - Market & User Research: - Conduct market analysis to identify opportunities for AI integration and competitive differentiation. - Gather and analyze user feedback to inform product improvements and future releases. - Compliance & Ethics: - Ensure all AI solutions adhere to ethical standards, data privacy regulations, and industry best practices. Qualification Required: - Work Experience: - Minimum 5+ years of experience in product management, software development, or data science within the technology domain. - Proven track record managing AI/ML or data-driven products from ideation to launch. - Experience working in cross-functional teams and Agile/Scrum environments. - Educational Qualification: - Bachelors degree in Computer Science, Engineering, Data Science, Business, or a related field is required. - Masters degree in a technical or business-related discipline is preferred. - Relevant certifications such as Certified Scrum Product Owner (CSPO) or AI Product Management are advantageous. Additional Details: You should possess skills such as strategic thinking, product visioning, excellent communication, stakeholder management, analytical thinking, problem-solving, organizational skills, and a deep understanding of AI/ML concepts. Familiarity with Agile/Scrum methodologies, cloud platforms (AWS, Azure, GCP), and MLOps practices is highly desirable for this role. Your ability to work collaboratively in a fast-paced, innovative environment will be crucial for success. Role Overview: As the AI Product Owner, you will have a crucial role in shaping and delivering innovative AI-driven solutions within the Technology department. Your strategic mindset, deep domain expertise, and ability to bridge business objectives with technical execution are essential for this senior-level position. Key Responsibilities: - Define Product Vision & Strategy: - Collaborate with stakeholders to understand business objectives and translate them into a clear AI product vision. - Develop and maintain a strategic roadmap for AI initiatives, ensuring alignment with organizational goals. - Backlog Management: - Own and prioritize the AI product backlog, balancing business value and technical feasibility. - Write and refine user stories and acceptance criteria for AI features. - Cross-Functional Collaboration: - Act as the liaison between business stakeholders, data scientists, engineers, and designers. - Facilitate effective communication to ensure shared understanding of product goals and deliverables. - Sprint Planning & Execution: - Participate in Agile ceremonies including sprint planning, reviews, and retrospectives. - Guide development teams to deliver high-quality AI features on schedule. - Data & Model Oversight: - Identify and evaluate data sources for AI model training and validation. - Collaborate on the development, deployment, and monitoring of machine learning models. - Market & User Research: - Conduct market analysis to identify opportunities for AI integration and competitive differentiation. - Gather and analyze user feedback to inform product improvements and future releases. - Compliance & Ethics: - Ensure all AI solutions adhere to ethical standards, data privacy regulations, and industry best practices. Qualification Required: - Work Experience: - Minimum 5+ years of experience in product management, software development, or data science within the technology domain. - Proven track record managing AI/ML or data-driven products from ideatio
