AI Product Manager, Discovery
New
Canada, Germany, India, United Kingdom, United StatesFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 3 or more years
- Required Skills
- Artificial IntelligenceBusiness AnalysisMachine LearningProduct ManagementStrategyData scienceEHR
Requirements
- 3 or more years of product management, business analysis, healthcare operations, or strategy experience in a technology-driven environment.
- Bachelor's degree in a related field.
- Demonstrated ability to work independently, initiating outreach and building relationships.
- Strong interpersonal and communication skills to build trust across clinical, operational, and technical stakeholders.
- Ability to synthesize ambiguous information into structured problem statements.
- Familiarity with AI, machine learning, or data science concepts.
- Healthcare industry experience or a strong desire to develop domain expertise in health system operations.
- Prior exposure to clinical AI, EHR systems, or healthcare IT environments (preferred).
- Experience supporting vendor evaluations, RFI development, or technology assessments (preferred).
- Familiarity with agile product development methodologies and discovery to delivery transitions (preferred).
- Master's degree in a related field (preferred).
Responsibilities
- Build and maintain relationships across clinical, operational, health plan, and pharmacy functions, proactively seeking out unmet needs and AI opportunity areas.
- Conduct discovery sessions with frontline staff, department leaders, and subject matter experts to understand workflow pain points and strategic priorities.
- Research the market independently, tracking AI vendor developments and peer health system deployments.
- Test ideas using lightweight concept sketches, process maps, or rough prototypes to validate solution directions.
- Translate findings into clear, structured opportunity briefs and problem statements for leadership.
- Support vendor evaluations by developing criteria, probing production reality, and synthesizing recommendations.
- Maintain an honest, current view of the opportunity pipeline to ensure discovery aligns with portfolio priorities.
- Work closely with AI product development to ensure actionable handoffs from discovery into delivery.
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