Principal Product Manager – Health Data Platform

Key Responsibilities

Define and drive the longterm 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, thirdparty 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 realworld healthcare needs and regulatory expectations.

Facilitate crossteam decisionmaking, 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 multiteam initiatives without direct authority.

Obsessively focused on data quality, reliability, integrity, and endtoend lineage.

Passionate about improving care outcomes, patient experience, and clinician efficiency through highquality health data infrastructure.