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Atyeti

Lead Product Owner

Remote — United States (see country and timezone requirements)

Check who can apply and the requirements below before continuing.

Job description

Qualifications

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable

accommodations may be made to enable individuals with disabilities to perform the essential functions.

Education Level: Bachelor's Degree

Education Details: Product Management, Engineering, Information Technology or related field

Experience: 8 years experience business analysis, business development, solutions development, system analysis, technical design/development implantation or equivalent experience OR

6 years Previous product owner experience with an in-depth knowledge of agile process and principles.

Comfortable navigating ambiguity and driving clarity in new or emerging AI initiatives.

Ability to balance long-term strategy with short-term execution, ensuring incremental delivery of AI projects with measurable outcomes.

Proven experience working on AI products or supporting AI department planning and strategy.

Strong knowledge and understanding of AI and Generative AI technologies, trends, and business requirements.

Exceptional communication skills to lead, facilitate, and drive conversations with senior management and stakeholders for AI ideation, strategic alignment, and exploration.

Expertise in developing and delivering compelling presentations and decks to showcase AI use cases, feasibility studies, and outcomes to both technical and non-technical audiences.

Experience supporting department-level planning, particularly within data science, AI, or similar technical domains, ensuring alignment with organizational goals and priorities.

Ability to identify, explore, and prioritize AI use cases across multiple business units, translating business needs into actionable plans and product requirements.

Strong analytical and problem-solving skills to assess AI opportunities, risks, and feasibility.

Experience collaborating with cross-functional teams (engineering, data science, business owners, etc.) to align product goals with AI strategies.

Knowledge of Agile methodologies and frameworks (e.g., SAFe), with a focus on integrating AI solutions within product planning and delivery cycles.

In Lieu of Education

In lieu of a Bachelor's degree, an additional 4 years of relevant work experience is required in addition to the required work experience.

Preferred Qualifications

Previous healthcare experience

Advanced degree

Knowledge, Skills and Abilities (KSAs)

Proficient in Agile methodologies, principles, and procedures., Expert

Ability to use Product KPIs and business metrics to optimize the product., Expert

Ability to recognize, analyze, and solve a variety of problems., Expert

Ability to analyze, organize and prioritize work while meeting multiple deadlines., Expert

The incumbent is required to immediately disclose any debarment, exclusion, or other event that makes them ineligible to perform work directly or indirectly on Federal health care programs. Must be able to effectively work in a fast-paced environment with frequently changing priorities, deadlines, and workloads that can be variable for long periods of time. Must be able to meet established deadlines and handle multiple customer service demands from internal and external customers, within set expectations for service excellence. Must be able to effectively communicate and provide positive customer service to every internal and external customer, including customers who may be demanding or otherwise challenging.

Originally posted on Himalayas

Who can apply

Eligible countries: Australia, Canada, France, Germany, Netherlands, United Kingdom, United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC-4, UTC-3.5, UTC+0, UTC+1, UTC+8, UTC+8.75, UTC+9, UTC+9.5, UTC+10, UTC+10.5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.

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