Product Owner

Job Title: Product Owner with Gen AI experienceLocation: Reston, VA (Remote Jobs)Duration: 12 Months+PURPOSE :Drives value to the business by building, managing, and maintaining a Product Backlog in collaboration with IT teams. Represents the business to the team, and defines business purpose and value for them. Defines the details of what is to be done and the overall scope of the project for the product offering. Ensures that acceptance criteria are well-defined. Plays a key role in shaping the product direction, creating the feature(s), writing user stories, and innovating collaboratively through Joint Application Development (JAD) and other brainstorming sessions.ESSENTIAL FUNCTIONS :25% Develops and aligns the Product Roadmap to strategic goals by working with customers, both internal and external, as well as Stakeholders to analyze and document both business and technology needs.25% Engages with the Agile development team in defining and maintaining Product Backlog epics and breaking them into features, user stories and acceptance criteria.10% Informs business decisions by drafting key objectives and results, strategies, and ensures appropriate levels of data is optimized by and through the product.10% Partners with product management and senior management to create, implement, and adjust the product to fit the company portfolio; represents the team while managing business with clients, users, and stakeholders.QualificationsBachelors Degree4 years experience business analysis, business development, solutions development, system analysis, technical design/development implementation or equivalent experience. ORIn lieu of a Bachelors degree, an additional 4 years of relevant work experience is required in addition to the required work experience.4 years years product owner experience1 year of Machine Learning / AI Experience. Preferably Gen AIKnowledge of AI concepts, machine learning models, and data analysis to effectively communicate with technical teams and understand the products capabilities and limitations.Familiarity with data sourcing, curation, and ethical considerations in using data for training AI models, ensuring compliance with regulations and best practices