Senior Technical Product Manager (Clinical Data Platform), Remote

Primary Duties:

• Partner with business owners to cultivate a shared vision for the problem space, constraints, priorities and ideal end state, and be able to articulate and advocate for this perspective.
• Ongoing optimization of live user workflows and capabilities including monitoring of key metrics & internal user feedback
• Work with internal teams and end users to develop a deep understanding of requirements, perform thoughtful technical solution designs, use data to test hypotheses, and support teams throughout execution.
• Write detailed user stories for new features, capturing detailed descriptions of business rationale, requirements, and success criteria that are defined by measurable outcomes.
• Develop short- and long-term roadmaps that deliver maximum value with minimum risk and assume ongoing iteration.

Minimum Qualifications:

• 8+ years of product management experience in healthcare technology, technology-enabled services industry, or a SaaS product.
• Experience using data and primary research to inform solution design and build internal business understanding.
• Experience with and understanding of the software development lifecycle and software development methodologies, including experience managing within Agile and Scrum teams.
• Product development experience in the context of the development of a healthcare technology product.

Preferred Knowledge, Skills and/or Abilities

• Excellent organizational and communication skills with an emphasis on problem-solving and building subject matter expertise.
• Intermediate understanding of EHR data integration and applicable data standards, including FHIR, QRDA, CCDA, SNOMED CT, LOINC, ICD-10, CPT and RxNorm
• Experience applying project management principles and techniques with an eye towards execution. To include skills in leading and managing change within the team and initiative more broadly.
• Knowledge of healthcare administrative and clinical data sets, including demographics, financials, encounters, labs, diagnoses, and medications.
• Familiarity with software development environments, version control systems and basic coding or scripting languages to better communicate with development teams and participate in technical discussions.
• Basic understanding of clinical workflows across inpatient, ambulatory, and ancillary care settings, including how data is captured and used in EHR systems.
• Experience working with EHR, practice management, revenue cycle tools, or population health platforms to support clinical or operational use cases..
• Experience with clinical datasets to ensure accurate patient record linkage, data integration, and interoperability between clinical, administrative and claims data sources.
• Experience applying NLP and/or ML techniques for extracting structured clinical insights from free-text data (e.g., clinical notes, CCDAs, scanned documents).
• Experience working with clinical data pipelines including ingestion, normalization, and mapping to standardized terminologies and schemas.
• Proficient in SQL, with experience querying large healthcare datasets in PostgresSQL or similar environments.
• Experience using Databricks to manage, process and analyze large-scale clinical data using Spark SQL, Delta Lake, and data pipelines, particularly for clinical interoperability workflows.