This is a predominantly remote role; however, the candidate must be based in the DMV area to attend in-person PMI planning and brainstorming sessions, which occur two days a month (with the potential for more).
On-call support may be required during major product releases, with the potential for extended hours during those times.
Overview
Our client is seeking an experienced Product Owner to lead the development and enhancement of a new Generative AI product. This AI-driven product is designed to help users access policy information more efficiently and will play a key role in the company's growth and innovation.
In this role, you will be responsible for writing and prioritizing user stories, supporting product releases, facilitating planning sessions, and collaborating with cross-functional teams to address complex challenges. This is a hands-on position that requires strong communication, leadership, and organizational skills to manage both the technical and business aspects of AI product development.
Responsibilities
Serve as the Product Owner for a new Generative AI product (e.g., ChatBot) that integrates with large policy systems, helping users access information more efficiently.
Collaborate closely with the data science team, including a Data Scientist Lead and Data Analyst, to develop and optimize AI models such as GPT frameworks.
Partner with technical teams to ensure alignment of AI models with business needs and roadmap goals, ensuring all stakeholders are informed of progress and potential risks.
Lead brainstorming and PMI planning sessions, ensuring the team stays on track with development timelines and product enhancements.
Ensure compliance with ethical AI practices, including bias mitigation and regulatory requirements for data sourcing and curation.
Develop KPIs for the AI product and communicate performance results effectively to leadership.
Write and prioritize product requirements and manage user stories while working with development teams to ensure successful execution.
Engage with cross-functional teams, including engineers, to understand and address complex AI-related challenges.
Required Skills & Experience
Bachelor's Degree in Product Management, Engineering, Information Technology, or a related field - In lieu of a bachelor's degree, an additional 4 years of relevant work experience is required in addition to the required work experience.
4 years of experience in business analysis, business development, solutions development, system analysis, technical design/development implementation, or 2 years of product owner experience
Knowledge of AI concepts, machine learning models, and data analysis to effectively communicate with technical teams and understand the product's capabilities and limitations.
Familiarity with AI models like GPT frameworks, SageMaker, and data sourcing/curation, with a strong focus on ethical considerations and compliance with regulations.
Experience writing user stories and requirements, collaborating with Scrum teams, and leading brainstorming and planning sessions.
Ability to support product releases, including on-call availability for 4 major releases per year, with occasional extended hours during releases.