AI Product Owner

GEHA; Missouri; Hybrid; USD 95,118 - 134,082; Full time

Benefits offered by this job

Competitive pay

Health/Vision/Dental benefits

401(k) with company match

Paid Time Off

Tuition Assistance Program

Remote/hybrid work options

Job summary

G.E.H.A — Government Employees Health Association, Inc. seeks an AI Product Owner within the Digital Innovation team to drive AI strategies and execution across the organization.

You will bridge business goals, member needs, and technical delivery in the lifecycle from ideation to deployment and iteration. You will define the AI vision, develop roadmaps, manage the backlog, and translate complex requirements into actionable user stories for developers.

Qualifications

• 3–5 years of Agile Product Management or Product Ownership experience
• At least 1–2 years managing AI, ML, or data-heavy software products
• Strong ability to translate complex business needs into actionable requirements and acceptance criteria

Responsibilities

• Define the AI vision, strategy, and roadmap for the organization.
• Own the AI product backlog and prioritize by business value, feasibility, and alignment.
• Translate requirements into clear user stories and technical specs for development teams.
• Lead Agile ceremonies and collaborate with legal, risk, and compliance to ensure HIPAA adherence and ethical AI.

Skills

AI/ML Product ownership

Agile Product Management

Data-driven decisions

Stakeholder communication

Agile ceremonies

Education

Bachelor's degree in relevant field

Tools

Azure AI

Google Cloud AI

AWS SageMaker

Kafka

Snowflake

Fabric

Job description

Government Employees Health Association, Inc. (G.E.H.A) is a nonprofit member association that provides health and dental benefits that millions of federal employees and retirees, military retirees and their families have counted on since 1937. Offering one of the largest health and dental benefit provider networks available to federal employees in the United States, G.E.H.A empowers health and wellness by meeting its members where they are, when they need care. G.E.H.A has one mission: To empower federal workers to be healthy and well.

Role

As the AI Product Owner within the Digital Innovation team, you will serve as the strategic driver and primary advocate for G.E.H.A’s Artificial Intelligence initiatives. You will bridge the gap between business objectives, member needs, and technical execution, leading the lifecycle of AI/ML products from ideation through deployment and iteration.

Duties and Responsibilities

• 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.

Knowledge, Skills, and Abilities

• 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.

Preferred Qualifications

• 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.
• Hotspots, satellite and wireless internet service is NOT allowed for this role.
• Dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.

Benefits

• Competitive pay/salary ranges
• Incentive plan
• Health/Vision/Dental benefits effective day one
• 401(k) retirement plan: company match – dollar for dollar up to 4% employee contribution (pretax or Roth options) plus a 6% annual company contribution
• Robust employee well-being program
• Paid Time Off
• Personal Community Enrichment Time
• Company-provided Basic Life and AD&D
• Company-provided Short-Term & Long-Term Disability
• Tuition Assistance Program
• Remote opportunity – hybrid and work-from-home options for many of our roles.

Location

Remote opportunity. G.E.H.A is headquartered in Lee's Summit, Missouri, in the Kansas City area. We recognize the importance of balance and flexibility and offer hybrid and work-from-home options for many of our roles.

Salary

The target hiring range for this position is $95,118 - $120,330 USD. At G.E.H.A, the current maximum salary for this role is $134,082 USD.

Equal Opportunity Employer

G.E.H.A is an Equal Opportunity Employer, which means we will not discriminate against any individual based on sex, race, color, national origin, disability, religion, age, military status, genetic information, veteran status, pregnancy, marital status, gender identity, and sexual orientation, as well as all other characteristics and qualities protected by federal, state, or local law.

G.E.H.A will not discriminate against employees or applicants because they have inquired about, discussed, or disclosed their compensation or the compensation of another employee or applicant. We are committed to creating an inclusive environment for all employees.