Senior Product Manager, Health Systems Data Platforms

Requirements

• The Senior Product Manager will drive the development of data platforms, user interfaces, and AI-enabled analytics tools that transform integrated genomic and clinical data into actionable insights for clinicians, researchers, and health system partners.
• experience building enterprise data products for large health systems, strong knowledge of healthcare interoperability standards, and a passion for translating complex healthcare data into intuitive and impactful products. Primary Responsibilities
• requirements (PRDs, user stories, user flows) and deliver scalable, high-quality data platform, analytics, and AI-driven insights solutions.
• ● Evaluate and integrate third-party technologies (e.g., data interoperability frameworks, analytics platforms, and AI/ML tools) to accelerate development and improve performance.
• ● Deep understanding of healthcare data interoperability standards such as HL7 FHIR and HL7, along with
• experience integrating with major EMR platforms such as Epic or Oracle Health.
• Experience working with large health systems to deliver data-driven solutions that support clinical workflows, analytics, or research initiatives.
• ● Demonstrated ability to translate complex clinical and genomic data assets into scalable software solutions that deliver measurable value to providers and healthcare organizations.
• ● Proven record of driving innovation through data, analytics, and AI-enabled products ; adaptable, hands-on, and strategic problem solver.
• ● Excellent cross-functional collaboration skills with the ability to work effectively with technical teams, clinicians, informatics leaders, and executive stakeholders.
• ● Highly analytical with strong problem-solving skills; comfortable using data (SQL proficiency preferred) to drive product decisions.
• ● Bachelor’s degree in computer science, engineering, business, healthcare informatics, or related field.
• experience in enterprise software, healthcare technology, or data platform product management , with significant
• experience working with health systems.
• ● Strong understanding of modern data architectures, databases, and AI/ML concepts, including cloud data platforms, data pipelines, LLMa, and technologies used to build scalable analytics and intelligent data applications.
• ● Proven ability to synthesize health system
• ● Strong written and verbal communication skills, including proficiency in presenting technical content to diverse audiences.