JPMorgan WLS AI Delivery -Product Owner - Associate 

India, Karnataka, Bengaluru 

930907680

Job responsibilities:

• Support the definition and communication of the vision and strategy for AI products.
• Conduct market research and competitive analysis to identify trends and opportunities in AI technology.
• Assist in developing and maintaining a product roadmap that aligns with business goals and user needs.
• Contribute to innovation in AI and Generative AI applications, leveraging open-source and cloud services to create transformative solutions for our clients.
• Collaborate with stakeholders to gather and prioritize product requirements, supporting ethical AI practices and Act as a liaison between the product team and stakeholders, ensuring clear communication and alignment.
• Manage stakeholder expectations and assist in resolving conflicts or issues that arise.
• Work closely with data scientists, engineers, Workflow Product Owners, and UX/UI designers to develop AI models and products.
• Ensure timely delivery of products that meet quality standards.
• Assist in defining and prioritizing product features, user stories, and acceptance criteria and Support the product development lifecycle, including planning, execution, and delivery.
• Monitor product performance and user feedback to identify areas for improvement.
• Utilize data-driven insights to make informed decisions and optimize AI models and features.

Required qualifications, capabilities, and skills:

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
• Proven experience as a Product Owner or similar role in AI/ML product development.
• Strong understanding of AI technologies, machine learning, and data analytics.
• Experience with agile methodologies and product management tools (e.g., Jira, Trello).
• minimum 6 years of experience in data science, machine learning, and predictive analytics, with a focus on supply chain and operations.
• Familiarity with ML-Ops practices for model monitoring, retraining, and CI/CD pipelines.
• Engineering background, with experience in software development, data engineering, or data science.
• Strong proficiency in Python and PySpark for data manipulation, analysis, and modeling.
• Solid understanding of convolutional neural networks (CNN) and deep learning techniques for anomaly detection, forecasting, and revenue optimization.
• Experience working with large-scale datasets and distributed computing frameworks for processing and analyzing big data.
• Proficient in using tools like Jira, Confluence, MS Power Platform (including CoPilot Studio), Cloud Solution Architecture (AWS + Azure), Python, Prompt Engineering, Customer engagement systems, Workflow platform.

Preferred qualifications, capabilities, and skills:

• Experience with cloud platforms and AI services (e.g., AWS, Azure, Google Cloud).
• Knowledge of data privacy regulations and ethical considerations in AI.
• Advanced degree preferred.
• Experience with libraries such as Pandas, NumPy, TensorFlow, and PyTorch is highly desirable.