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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Product Owner - **Company:** Government Employees Health Association, Inc. - **Location:** United States (Remote available) - **Salary:** $95,118.0 - $120,330.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Data Analysis, Computer Vision, Microsoft Azure, Cloud Engineering, Modems, Data Architecture, Internet Services, Machine Learning, Natural Language Processing, Scrum Methodology, Software Product Management, Azure Machine Learning, Google Cloud, Snowflake, Generative AI, Low Latency, Data Analytics, Performance Monitor, Apache Kafka - **Published:** July 30, 2026 - **Apply:** https://geha.wd5.myworkdayjobs.com/GEHACareers/job/Missouri-Remote/AI-Product-Owner_R-005300 ## About the Role * Visionary Mindset: Ability to see the big picture and communicate an inspiring, long-term direction for the use of AI at G.E.H.A. * Experience: Minimum of 3-5 years of experience in Agile Product Management or Product Ownership, with at least 1-2 years specifically managing AI, Machine Learning, or data-heavy software products. * Technical Fluency: Strong foundational understanding of AI/ML concepts (e.g., Generative AI, Natural Language Processing, predictive modeling) and the data science lifecycle. You do not need to code, but you must be able to communicate effectively with full stack developers, data scientists, and engineers. * Methodology: Proven experience working in Agile/Scrum environments. * Analytical Skills: Strong ability to analyze data, interpret performance metrics, and make data-driven product decisions. * Communication: Exceptional communication and presentation skills, with the ability to distill complex technical AI concepts into easily digestible business terms., * Industry Experience: Previous experience in healthcare, health insurance, or a highly regulated industry. Familiarity with federal employee health benefit programs (FEHB) is a major plus. * Certifications: Certified Scrum Product Owner (CSPO), Pragmatic Institute Certification, or equivalent. * Familiarity with Modern Tech Stacks: Experience working with cloud-based AI/ML platforms (e.g., Azure AI, Google Cloud AI, AWS SageMaker) and modern data architecture (e.g., Kafka, Snowflake, Fabric). Work-at-home requirements * Must have the ability to provide a non-cellular High Speed Internet Service such as Fiber, DSL, or cable Modems for a home office. * A minimum standard speed for optimal performance of 30x5 (30mpbs download x 5mpbs upload) is required. * Latency (ping) response time lower than 80 ms ## Description Product Strategy & Roadmap * Define the AI Vision: Work with Digital Innovation leadership to define the vision, strategy, and roadmap for AI capabilities across G.E.H.A's ecosystem. * Identify Opportunities: Continuously evaluate internal workflows and member touchpoints to identify high-value opportunities for predictive analytics, generative AI, and automation. * Align with Business Directives: Ensure all AI products directly support G.E.H.A's strategic goals, including member retention, cost reduction, and healthcare outcome improvement. Backlog Management & Execution * Own the Backlog: Create, maintain, and ruthlessly prioritize the AI product backlog based on business value, technical feasibility, and strategic alignment. * Translate Requirements: Translate complex business needs into clear, actionable user stories, technical requirements, and acceptance criteria for the development teams. * Sprint Leadership: Actively participate in Agile ceremonies (Sprint Planning, Daily Stand-ups, Demos, Reviews, and Retrospectives) to ensure the development team has clarity on goals and deliverables. Cross-Functional Collaboration * Stakeholder Alignment: Act as the primary liaison between technical teams and business stakeholders, managing expectations and providing transparent updates on AI product progress. * Compliance & Ethics: Partner tightly with Legal, Risk, and Compliance teams to ensure all AI models adhere to HIPAA regulations, data privacy laws, and ethical AI guidelines (mitigating bias and ensuring model explainability). * User Adoption: Collaborate with change management and operations teams to ensure successful rollout, training, and adoption of AI tools by internal teams or members. Performance & Iteration * Define KPIs: Establish clear metrics for AI product success (e.g., model accuracy, user adoption rates, efficiency gains, member satisfaction). * Monitor & Optimize: Partner with operations to monitor performance in production, gathering user feedback and system data to drive iterative enhancements, as necessary. ## Related Videos - [Building Products in the era of GenAI](https://www.wearedevelopers.com/videos/827-building-products-in-the-era-of-genai) - [Swapping Low Latency Data Storage Under High Load](https://www.wearedevelopers.com/videos/746-swapping-low-latency-data-storage-under-high-load) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow) - [Unleash the power of 5G in your code: transform your apps](https://www.wearedevelopers.com/videos/1567-unleash-the-power-of-5g-in-your-code-transform-your-apps) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) ## Related Articles - [Got AI ideas but no money? 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