The client is a high-growth, well-funded AI company building critical infrastructure for the future of work, enabling frontier models through human intelligence that adds nuanced knowledge, judgment, and real-world context. The Healthcare Data Partnerships Lead will own the end-to-end strategy and execution of partnerships with organizations that hold valuable healthcare data, working across health systems, payers, EHR vendors, and life sciences companies. This is a highly autonomous, externally-facing role suited to someone who combines healthcare domain expertise with strong deal-making and relationship-building experience.
Key responsibilities include building and scaling the partnerships function by developing partnership strategy, pipeline, and playbooks, and establishing metrics to track success and drive continuous improvement. The role will source and close complex data partnerships by identifying and prioritizing targets, managing the full partnership lifecycle from outbound outreach and pitch development through negotiation and close, and structuring and executing data licensing and data-sharing agreements. The lead will also manage deal structuring and compliance by negotiating pricing, access terms, and usage rights, and ensuring compliance with healthcare data standards and requirements, working closely with cross-functional partners to support compliant and scalable integrations.
Additional responsibilities include managing and growing relationships by building long-term partnerships, driving renewals, expansions, and deeper data access over time, and supporting market strategy and industry presence by segmenting relevant markets and representing the company at industry events. The ideal candidate will have 3–7+ years of experience in business development, partnerships, or enterprise sales within healthcare or healthtech, with a track record of closing complex, multi-stakeholder deals involving data, as well as strong understanding of the healthcare data landscape such as EHRs, claims, and registries. The role requires strong negotiation and commercial instincts, executive presence with senior stakeholders, comfort operating in ambiguity, and familiarity with data licensing, governance, and de-identification frameworks.