Solutions Lead, Healthcare

Solutions Lead

Lead solution architecture and deal design, translating customer requirements into a structured plan and driving it forward through internal project management, quality assurance, and cross-functional execution — while maintaining a customer-facing presence to ensure alignment and adapt solutions as needs evolve.

Lead end-to-end program management from data specification and preparation through QA and delivery, ensuring cross-functional coordination and on-time execution.

Oversee the QA, packaging, and delivery of complex datasets (EHR, claims, radiology, pathology, unstructured text), ensuring HIPAA compliance in collaboration with privacy partners.

Requirements

• Proven customer-facing experience: skilled at managing expectations, leading customer conversations, and delivering technical outcomes with clarity and confidence.
• Bring an analyst-first mindset to challenges. You are an expert in using SQL and python to query data to construct complex patient cohorts, analyze data readiness for model training, validate clinical coverage, and support other customer-specific needs.
• Find satisfaction by bringing order to multiple simultaneous projects and masterfully juggle competing (and sometimes changing) priorities.
• Deep expertise in various healthcare data modalities ranging from EHR, claims, radiology, pathology and unstructured text.
• Familiarity with privacy-preserving techniques of healthcare data.
• Experience in healthcare AI, ML products, or enterprise data platforms.
• Prior startup experience.

Qualifications

• Treat those around you with kindness.

Benefits

Be the connective tissue between Protege’s platform, our data, and our customers.

Operate at the cutting edge of multimodal data — where human judgment meets machine intelligence.

Build datasets that directly power the next generation of AI models.

Pay

TBD

Schedule

TBD

Skills

• Customer-facing experience
• SQL and Python skills
• Data analysis and modeling
• Data preparation and QA
• Privacy-preserving techniques
• Healthcare data modalities (EHR, claims, radiology, pathology, unstructured text)
• Healthcare AI, ML products, or enterprise data platforms
• Start-up experience