Digital Product Manager 4

Our client is currently seeking a Digital Product Manager 4 Key Responsibilities • Backlog Management Assist product manager in maintaining the product backlog, prioritizing backlog with guidance from Product Manager Breakdown prioritized features into functional and nonfunctional user stories for technology, and Data science teams Identify all components required (UI, Backend, Gen AI) to implement a feature Craft clear concise and actionable user stories for UI, Backend, API, Gen AI with defined acceptance criteria and Definition of Done Product execution and delivery Understand Feature details (tech/gen AI/ tech) quickly grasp context, breakdown into user stories Groom user stories with Development team and ensure Development team has clear understanding of the acceptance criteria Understand team's capacity/velocity and story sizing Participate in Sprint Planning meetings, provide input on user stories that must be prioritized by technology team and provide input in defining sprint goals Partner with UI/UX team to design UI/UX considering all key aspects of UI development Identify dependencies across multiple teams and work with teams to prioritize stories with all dependent teams Provide input to help Development and Data science teams finalize solution approach for user stories considering aspects like scalability, extensibility, performance etc. Complete PO validation of user stories/release/launch Coordinate with QA to ensure coverage of critical scenarios Drive UAT testing, reporting, defect management and prioritization for tech teams Stakeholder Engagement Facilitate communication between stakeholders as needed to remove impediments, communicate progress of sprint, highlight risks, issues dependencies etc Documenting meeting notes and action items from cross functional meetings Maintain centralized document repository for Project artifacts that can be accessed by all key stakeholders Data PO Understand data requirements for Gen AI and explore different sources of data based on data requirements Collaborate with multiple POs to understand the data and integration capabilities Create Data mapping (source to target) for data between 2 or more systems Validate the data in different sources to ensure quality Create Data integration stories, API testing, Batch data testing Create user stories for integration, testing criteria Requirements Detail oriented and highly organized Understanding of system flow, architecture design, API, DB construct Ability to translate complex features into user stories Strong analytical and business skills Experience in software development, business analysis, data analysis, software testing cycle. Strong experience in deep diving into data, good understanding of Teradata, Mongo db (document db) • At least 2-5 years' experience with SQL/ No SQL queries • Experience understanding json, API swagger Good understanding of web application, API development, Application performance, UI/UX development Experience using JIRA, Figma, Postman Preferred Qualifications • Prior experience working on AI/ML products in a Financial Services industry. • Familiarity with LLMs, prompt engineering, and responsible AI frameworks. • Understanding of System architecture, technical specifications etc