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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.
Job Responsibility:
Define and drive both short and long term technical roadmaps for data pipeline infrastructure, ensuring scalable, reliable ingestion and transformation of structured and unstructured data across diverse upstream sources and downstream consumers to deliver maximum value with minimum risk
Partner cross functionally with engineering, analytics and key business stakeholders to identify data requirements, translate them into technical specifications and support implementation through backlog grooming, solution design and adoption oversight
Monitor pipeline performance and data quality metrics, proactively investigate anomalies with SQL or equivalent query tools to drive root cause analysis and implement improvements to support data completeness, timeliness, analytics and generative AI initiatives
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
Requirements:
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
Nice to have:
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
What we offer:
Flexible work schedules and the ability to work remotely are available for many roles
Health, dental and vision insurance paid up to 80% for employees, dependents and domestic partners
Robust time-off plan (21 days of PTO in your first year)
Two paid volunteer days and 11 paid holidays
12 weeks paid parental leave for all new parents
Six weeks paid sabbatical after six years of service
Educational Assistant Program and Clinical Employee Reimbursement Program
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