Related skills
machine learning apis data governance ehr data ingestion📋 Description
- Define longterm strategy for a unified health data platform across clinical, operational, and product use cases.
- Architect ingesting and processing billions of patient data points from EHRs, claims, labs, devices, and APIs.
- Lead data completeness, lineage, governance, and quality initiatives.
- Partner with product to define data models and canonical representations for AI/ML pipelines.
- Collaborate with engineering to adopt rapid ingestion, ETL/ELT, data lakehouse, and distributed compute.
- Influence infrastructure strategy to improve resiliency, observability, and cost efficiency.
🎯 Requirements
- 12-15+ years of product management, with 5+ years in health data platforms or clinical data systems.
- 3+ years of data pipelines for AI use, including enrichment pipelines and data science with MCP servers.
- Deep understanding of healthcare data formats, ontologies, and regulatory contexts.
- Strong technical fluency across data pipelines, APIs, cloud architectures, distributed systems.
- Experience with data governance, catalogs, and stewardship.
- Experience working with clinicians and navigating healthcare workflows.
🎁 Benefits
- Retirement plan matching
- Flexible paid time off
- Wellness programs and resources
- Parental and caregiver leaves
- Fertility and adoption support
- Continuous development support
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