Principal Product Manager – Health Data Platform

Key Responsibilities

• Define and drive the long-term strategy for a unified health data platform supporting clinical, operational, and product use cases.
• Collaborate to define architecture for ingesting and processing billions of patient data points across diverse systems (EHRs, claims, labs, devices, third-party APIs).
• Lead platform initiatives that improve data completeness, lineage, governance, and quality.
• Partner with product teams to enable them to define data models and canonical representations to support downstream applications, including AI/ML pipelines.
• Partner with engineering to evaluate and adopt technologies for rapid ingestion, streaming, ETL/ELT frameworks, data lakehouse systems, and distributed compute.
• Influence infrastructure strategy to improve resiliency, observability, and cost efficiency across the data stack.
• Collaborate with clinicians, data scientists, and compliance leaders to ensure platform capabilities align with real-world healthcare needs and regulatory expectations.
• Facilitate cross-team decision-making, often balancing accuracy, technical feasibility, security, and cost.

Qualifications

• 12-15+ years of product management experience, with at least 5 years focused on health data platforms or clinical data systems.
• 3+ years of experience working with data pipelines for AI use, including enrichment pipelines, data science use, including use of MCP servers with agents.
• Management of Healthcare Data and its use across the range of PointClickCare’s customer segments and users. Work experience with Health Plans, EHRs, and Long Term Post-Acute providers is preferred.
• Deep understanding of healthcare data formats, ontologies, and regulatory contexts.
• Strong technical fluency across data pipelines, APIs, cloud architectures, and distributed systems.
• Experience working with data governance, data catalogs, and stewardship.
• Experience working with clinical teams and navigating healthcare workflows.
• Technical degree preferred (Computer Science, Health Informatics, Information Systems, or related fields).

Key Attributes

• Systems thinker with the ability to connect clinical data structure, platform architecture, and AI/analytics needs.
• Exceptional communicator adept at simplifying complex technical and regulatory concepts for diverse audiences.
• Highly autonomous leader comfortable driving multi-team initiatives without direct authority.
• Obsessively focused on data quality, reliability, integrity, and end-to-end lineage.
• Passionate about improving care outcomes, patient experience, and clinician efficiency through high-quality health data infrastructure.