Healthcare Solutions Lead - Vertical Builders

What You’ll Do

• Partner tightly with the Account Manager - Vertical Builders to lead discovery with healthcare vertical builders and understand where Protege can create real value for this segment.
• Design solution paths for a new customer segment — translating customer needs into structured offerings spanning feasibility, packaging, QA, delivery, and expansion opportunities.
• Help define what Protege should actually sell into this market, including which offerings resonate, which are repeatable, and which are too bespoke to scale.
• Build the working model for this segment over time: how discovery is run, how engagements are scoped, how tradeoffs are made, and how early wins turn into a durable playbook.
• Own intake and working-level communication across engagements, ensuring requirements are understood early and changes are managed transparently.
• Partner with Data Lab, Product, and Engineering to assess feasibility, shape fit-for-purpose datasets or workflows, and move projects from concept to delivery.
• Manage end-to-end execution across multiple concurrent projects, keeping timelines, dependencies, risks, and next steps tightly organized.
• Oversee QA, packaging, and delivery of complex healthcare datasets, including EHR, claims, imaging, pathology, and unstructured clinical text.
• Surface patterns across customer work to help Protege refine its motion, sharpen value propositions, and build a more scalable offering for the healthcare vertical builder segment.

What You Bring

• Proven experience in a customer-facing solutions, delivery, technical GTM, or zero-to-one role where you owned outcomes across complex technical or data-driven engagements.
• Deep familiarity with healthcare data and its major modalities, especially EHR, claims, imaging, pathology, and unstructured text.
• Strong analytical and program management skills — you can assess feasibility, support solution design, and keep multiple workstreams moving with rigor.
• Comfort working across commercial, technical, and scientific stakeholders, especially in discovery-heavy environments where the right solution is not obvious at the outset.
• Strong product and commercial instincts: you can identify what customers actually value and help shape offerings that are useful, differentiated, and scalable.
• Familiarity with healthcare privacy, de-identification, tokenization, and related compliance workflows.
• Experience in healthcare AI, ML products, enterprise data platforms, or similarly complex technical environments.
• A highly entrepreneurial, builder-minded approach: you are excited by 0→1 work, comfortable developing a motion for a new segment from scratch, and able to create clarity, structure, and momentum in ambiguous environments.