Senior Product Manager, Reveleer

• A product manager with 8-10 years of experience in consulting, analytics, data product management or EHR integrations
• A strong, structured problem-solver comfortable working with complex datasets and systems
• Proficient in SQL and data analysis tools, with the ability to understand technical architectures and data pipelines
• An exceptional communicator who can translate complex concepts across technical and non-technical audiences
• Highly proactive and adaptable, able to take ownership of ambiguous problems and drive outcomes independently
• Deeply experienced with healthcare data (claims, clinical, EHR, or similar) and EHR integrations (Epic, Athena, Cerner, etc.)
• EHR integration experience (Epic preferred)
• Knowledgeable about healthcare data
• Customer-facing

Desirable

• This is a groundbreaking opportunity for an experienced Senior Product Manager to own and drive the success of our EHR integrations and data management within our transformative AI-enabled Clinical Intelligence platform
• You'll have the chance to work on cutting-edge technology, make a real impact on patient care, and be part of a high-performing, collaborative team
• Own the roadmap and day-to-day product management for our EHR and Data Engineering pods, including leading and participating in agile ceremonies
• Lead all new product development for our growing portfolio of EHR integrations (Epic, Athena, Cerner, Vim, etc.) and data ingestion capabilities
• Manage relationships with EHR and other integration vendors
• Become the data expert: develop deep expertise in Reveleer data and industry standards, and translate analytical insight into scalable product and operational solutions
• Structure ambiguous problems: define requirements, workflows, and data specifications that drive successful implementations, owning business logic and specs from ingestion to insight
• Analyze and validate data: analyze large datasets to identify patterns, diagnose issues, and validate outputs, ensuring accuracy and reliability across product and customer data flows
• Own data specs and quality: develop data-spec templates and standards for data ingestion, triage and solve data-quality issues, and support data-quality KPIs, monitoring, and self-service tooling
• Build and maintain the operating fabric: partner with Product, Engineering, and Implementation teams to build clear documentation, frameworks, and repeatable processes
• Lead cross-functional execution: coordinate stakeholders, manage timelines, and drive projects from problem definition through execution
• Investigate and diagnose issues related to EHR integrations and data ingestion, making recommendations for solutions where applicable