Senior Technical Product Manager (Clinical Data Platform - Unstructured Data), Remote

As a Senior Technical Product Manager, Clinical Data Platform, you will be a key member of the team responsible for designing scalable technical, service, and unstructured extraction solutions that Support Aledade’s various lines of business, with a focus on Medicare Advantage within the clinical data platform.
In this role, you will partner with business owners, AI researchers, engineers and clinical informaticists to define project goals, solution scope, implementation approaches, and rollout plans. You will play a critical role in expanding the clinical platform’s ability to ingest, standardize and serve clinical data at scale, including structured and unstructured data, to power downstream LLM use cases.
Your primary focus will be to help identify and productionize AI/ML capabilities that extract and improve clinical insights from unstructured data in support of enhancing data quality and completeness. As a platform focused product manager, you will bridge the gap between strategic business needs and core platform capabilities, ensuring Aledade delivers a high-quality, future ready clinical data foundation that can support AI innovation and scale operationally.   

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. 
• 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.
• Ongoing optimization of live user workflows and capabilities including monitoring of key metrics & internal user feedback
• Develop short- and long-term roadmaps that deliver maximum value with minimum risk and assume ongoing iteration.

Minimum Qualifications:

• 8+ years of product or technical program management experience in healthcare data platforms, interoperability, or machine learning infrastructure, with a focus on clinical data ingestion and transformation, technology-enabled services industry, or a SaaS product.
• Experience using and writing queries against data for the purposes of performing preliminary research to inform solution design and build internal business understanding.
• Strong understanding of the software development lifecycle, Agile methodologies, and cross functional collaboration across engineering, informatics and data science teams. 
• Product development experience supporting LLM pipelines or retrieval-augmented generation workflows using structured and unstructured healthcare data 
• Proven ability to bridge business objectives and platform capabilities in environments requiring data standardization and semantic normalization.

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 named entity extraction methods for extracting structured clinical insights from free-text or unstructured data (e.g., clinical notes, CCDAs, scanned documents, and/or images).
• Experience working with clinical or similar 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