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Regard is seeking a Senior Technical Product Manager to lead the Clinical Integrations team, which owns the clinical data foundation powering the company's AI-driven healthcare platform. This team is responsible for ingesting data from EHR systems, transforming it into a consistent clinical model, and maintaining the concepts and mappings that make clinical data usable across Regard's product suite.
You will ensure that clinical data is complete, timely, and accurate, serving as the trusted foundation for teams and products across the company. You'll own the product strategy for the infrastructure enabling these capabilities, working closely with engineers, clinical subject-matter experts, and cross-functional product teams to define roadmaps, set data quality standards, and solve complex integration and normalization challenges.
Regard's mission is to bring world-class healthcare to everyone by reasoning through patients' entire medical records to recommend diagnoses that would otherwise be missed—in real time at the point of care, during chart review, and in population-wide screening. The company partners with top health systems to drive industry change.
Key Responsibilities:
- Lead the Clinical Integrations team and own the roadmap for data ingestion, normalization (completeness, latency, accuracy, cost), the clinical concept library (taxonomy for clinical data standardization), and shared data models defining how clinical entities are represented across the platform
- Scale and stabilize ingestion infrastructure as data volume and source diversity grow
- Own the data normalization layer, ensuring all downstream products receive consistent, standardized clinical data regardless of source system
- Coordinate with clinical subject-matter experts to maintain and expand the concept library by triaging requests for new concepts, hierarchy updates, and synonym coverage
- Define and enforce SLAs for data completeness, accuracy, latency, and cost that downstream services depend on
- Advocate for users and downstream product teams by understanding workflows, pain points, and evolving data needs, translating them into roadmap priorities
- Prioritize pipeline reliability, concept library maintenance, and new integration capabilities among competing priorities
- Monitor service health and iterate to improve fetch performance, mapping accuracy, concept coverage, and overall data quality
Work Arrangement:
Hybrid role based in New York City metro area (3 days per week in office, with increased frequency during onboarding and monthly team onsite weeks). Relocation assistance provided. Flexibility to work remotely from other locations up to 6 weeks per year.
Requirements:
- 4+ years of product management experience in a SaaS company
- BS degree in Computer Science, Data Science, Engineering, or related field (or equivalent experience)
- Technical comfort with data pipelines, ETL/ELT patterns, APIs, and schema design
- Experience owning an integration, ingestion, or data normalization product
- Experience owning an internal API or platform service with internal teams as customers
- Hands-on and detail-oriented; able to dig into data issues and understand root causes
- Strong verbal and written communication skills; comfortable collaborating with engineers, subject-matter experts, and cross-functional product teams
- Service-oriented and forward-looking; focused on reliability, completeness, and the experience of teams that depend on your product
- Must be authorized to work in the US without visa sponsorship
Preferred Qualifications:
- Healthtech experience: EHR integrations, clinical data pipelines, or clinical data standards (HL7, FHIR, CDA); familiarity with HIPAA compliance
- Experience with taxonomy, ontology, or reference data management
- Experience with data warehouses, cloud platforms, and infrastructure scaling
