Why This Role Stands Out
This hybrid role offers a fantastic opportunity to shape the future of AI products, leveraging your expertise in Generative and Agentic AI to drive innovation and impact across the organization. If you are a seasoned Product Owner with a passion for cutting-edge AI technologies and thrive in a collaborative environment, this role is an excellent next step in your career journey.
Quick Overview
Job Description
Job Title: Senior Product Owner (GEN AI, Agentic AI)
Location: Reston, Virginia
Type: Contract To Hire
Compensation: $73 /hr
Work Model: Hybrid – onsite and remote
Hours: 40.0
Security Clearance: None
Responsibilities
- Identify and define Generative AI and Agentic AI use cases across the organization.
- Partner with business stakeholders to gather, refine, and prioritize requirements.
- Collaborate with Product Owners, Solution Architects, Data Scientists, and development teams to design AI-enabled solutions.
- Drive product vision, roadmap, and backlog priorities.
- Create and manage epics, features, user stories, and acceptance criteria.
- Guide initiatives from concept through delivery, implementation, and adoption.
- Support both new AI product initiatives and enhancements to existing AI solutions.
- Participate in Agile ceremonies, including refinement, sprint planning, reviews, and retrospectives.
- Communicate priorities, risks, and progress to stakeholders and leadership.
Requirements
- 10+ years of IT experience, including 7-8+ years as a Product Owner.
- Candidates with a combination of Product Owner, Product Manager, Business Analyst, and/or Data Analyst experience will be considered, provided they have significant Product Owner experience leading strategy, requirements, roadmaps, and Agile delivery.
- Experience with Generative AI and Agentic AI use cases, products, or initiatives.
- Experience identifying business opportunities for AI adoption and translating them into product requirements.
- Experience creating and managing product roadmaps, backlogs, epics, features, and user stories.
- Experience working with cross-functional teams, including business stakeholders, architects, data teams, and developers.
- Strong Agile/Scrum experience.
- Ability to understand technical architectures and work effectively in a rapidly evolving AI landscape.
- Strong communication, stakeholder management, and facilitation skills.
- Creative and innovative mindset with strong problem-solving abilities.
Preferred Qualifications
- Healthcare industry experience.
- Certified Scrum Product Owner (CSPO) or other Agile/Product certification.
- Experience supporting enterprise AI initiatives.
- Experience working with Data Science, Machine Learning, or AI delivery teams.
What Will Make Someone Stand Out
- Direct experience delivering Generative AI and Agentic AI solutions.
- Proven success identifying new AI use cases and driving adoption.
- Ability to bridge business and technical teams.
- Experience bringing AI products from concept to production.
- Strong product strategy, roadmap, and backlog ownership experience.
- Healthcare product experience.
System One, and its subsidiaries including Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.
System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.
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Ref: #851-Rockville-S1
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