About this role
Product Owner
Job description: Job Title: Clinical Data Platform Product Owner (AWS / HL7 / AI) Role Overview Own the roadmap and lifecycle of our clinical data platform built natively on AWS. The platform ingests and parses full HL7 standards (HL7 v2, CDA/CCDA, FHIR) and applies embedded AI/ML models for data quality, normalization, and advanced analytics. You will translate clinical/business needs into platform capabilities, ensure seamless interoperability, and drive adoption across internal and external stakeholders. Key Responsibilities • Product Strategy & Roadmap: Define and prioritize the platform roadmap spanning AWS-native services, HL7 parsing layers, AI components, and downstream consumption use cases. • Stakeholder Alignment: Gather requirements from clinicians, data scientists, engineers, and compliance teams; convert them into well-groomed product backlogs. • Clinical Data Interoperability: Champion support for HL7 v2 messages, CDA/CCDA documents, and FHIR APIs; guide interface mappings, terminology alignments (LOINC, SNOMED, RxNorm, ICD), and validation rules. • AI Enablement: Collaborate with data science teams to productize ML models (e.g., anomaly detection, entity matching, predictive insights); ensure responsible AI governance, monitoring, and feedback loops. • AWS Platform Ownership: Oversee deployment patterns leveraging services such as Lambda, ECS/EKS, S3, Glue, Redshift, DynamoDB, API Gateway, SageMaker, and Step Functions. • Operational Excellence: Partner with Site Reliability/Support teams to meet SLAs, data latency targets, and compliance requirements (HIPAA, SOC 2). • Release & Adoption: Drive agile ceremonies, release planning, and user enablement. Produce clear documentation, demos, and success metrics to measure platform impact. • Data Governance: Ensure lineage tracking, metadata management, and auditing are integrated into product plans.
Required Qualifications • 6+ years in product ownership/management, with at least 3 years in healthcare data platforms or interoperability products. • Deep understanding of HL7 standards (v2 messaging, CDA/CCDA, FHIR) and clinical vocabularies. • Proven experience with AWS-native architectures, data pipelines, and serverless/container-based services. • Strong analytical skills with proficiency in backlog tools (Jira/Azure DevOps), product analytics, and KPI definition. • Excellent communication and stakeholder-management skills in cross-functional, regulated environments. Preferred Qualifications • Familiarity with AI/ML lifecycle (model development, validation, monitoring) and ability to articulate value to non-technical stakeholders • Background in clinical informatics, HIT product development, or digital health startups. • Hands-on experience integrating HL7 interfaces via Mirth, Cloverleaf, or similar engines. • Knowledge of data governance frameworks, privacy regulations, and audit-readiness practices. • Exposure to Snowflake, Databricks, or Lakehouse architectures for secondary analytics. • Certification(s) such as AWS Certified Solutions Architect, Certified Product Owner, or HL7 certification.