[Remote] Partnerships, Healthcare Admin & Operations

Note: The job is a remote job and is open to candidates in USA. Protege is hiring a Partnerships Manager to source and develop partnerships that provide customers with rights-protected healthcare administrative and operations data for AI training, evaluation, and workflow development. The role translates customer needs into sourcing strategies and manages partner opportunities through qualification, diligence, contracting, activation, and handoff.

Responsibilities

• Translate customer and prospect needs into clear healthcare data sourcing briefs, including workflow, population, modality, data elements, granularity, volume, format, geography, time period, refresh cadence, use case, rights requirements, and success criteria
• Build a working map of healthcare administrative and operations data supply, including health systems, provider groups, payers, TPAs, MSOs, RCM companies, healthcare technology vendors, digital health companies, call centers, laboratories, pharmacies, data aggregators, brokers, and other relevant supply paths
• Source and build trusted relationships with organizations that hold operationally rich healthcare data and can articulate its provenance, permissions, quality, and delivery model
• Run partner discovery and qualification conversations to understand the underlying workflow, how the data is generated, what entities and events it represents, how it is linked, what fields and labels are available, and what transformations have been applied
• Evaluate whether a dataset reflects real operational work rather than only static records, including queues, decisions, handoffs, exceptions, outcomes, timestamps, and longitudinal workflow context where appropriate
• Assess privacy, security, and rights considerations early, including PHI and PII exposure, de-identification methodology, re-identification risk, consent or notice considerations, downstream use restrictions, data-use agreements, business-associate requirements, and any restrictions on AI training or model evaluation
• Prioritize opportunities based on customer demand, strategic value, uniqueness, data quality, representativeness, feasibility, rights posture, delivery readiness, and the likelihood of a sustainable commercial relationship
• Own partner progression from first conversation through NDA, sample intake, privacy and legal diligence, Data Lab evaluation, feedback, deal structuring, contracting, activation, and handoff into the appropriate operating team
• Coordinate closely with Commercial, Data Lab, Solutions, Privacy, Security, Legal, Product, and Operations so that partner opportunities move quickly without creating avoidable delivery, rights, privacy, or pricing risk
• Support customer and prospect deals by finding viable healthcare data paths, setting realistic expectations about coverage and limitations, and keeping internal and external stakeholders aligned on next steps
• Help structure partnerships, including licensing, channel, co-development, exclusivity, data contribution, and other commercial arrangements, using Protege’s standard terms and pricing guardrails wherever possible
• Maintain a clear, current view of partner capabilities, workflow coverage, data elements, active sourcing requests, qualification status, samples, risks, approvals, next steps, and commercial readiness in the systems of record
• Develop repeatable healthcare-specific sourcing workflows, qualification criteria, partner-intake processes, privacy and rights checklists, sample-review standards, and handoff requirements that make the broader partnerships function more scalable
• Bring market intelligence back to leadership, Data Lab, Product, and Commercial: what healthcare AI customers are asking for, where operational data supply is emerging, how partner economics are changing, and which data gaps are worth solving
• Build trusted relationships with partners and make sure they receive clear communication, thoughtful process, and a credible path to value through Protege

Skills

• Experience in partnerships, business development, strategic sourcing, enterprise sales, marketplace development, procurement, healthcare operations, or a similarly commercial and relationship-oriented function
• A track record of taking ambiguous opportunities from an initial question to a concrete plan, aligned stakeholders, and measurable progress
• Strong commercial judgment: you can distinguish an interesting healthcare data partner from a partner worth investing in, and you are comfortable saying no when the fit is weak
• Experience navigating multi-stakeholder work across external partners and internal teams, including technical, commercial, privacy, legal, security, and operational stakeholders
• The ability to qualify healthcare data opportunities quickly by asking practical questions about the underlying workflow, data generation, quality, provenance, rights, privacy, scale, timeline, economics, and decision-makers
• Enough healthcare fluency to understand how administrative and operational data is created, where it can be incomplete or biased, and how workflow context affects its usefulness
• Strong written and verbal communication. You can explain nuanced healthcare data, AI training, privacy, and commercial considerations clearly to a customer, partner, researcher, operator, executive, or legal stakeholder
• Operational rigor in pipeline and relationship management, including accurate records, clear ownership, crisp next steps, and consistent follow-through
• Comfort working in an environment where the playbook is incomplete and priorities change as new customer demand emerges
• A bias toward action and the persistence to keep complicated work moving without creating unnecessary friction
• The ability to build trust with external partners while protecting Protege's standards around rights, privacy, security, quality, delivery, and commercial sustainability
• Experience with healthcare administrative, claims, payer, provider, revenue-cycle, prior-authorization, scheduling, call-center, pharmacy, laboratory, imaging, or care-management data
• Experience working with health systems, provider groups, payers, TPAs, MSOs, healthcare technology vendors, digital health companies, or other healthcare organizations with operational data
• Existing relationships with healthcare data holders, aggregators, brokers, technology vendors, or workflow operators
• Experience with data licensing, AI/ML infrastructure, model development, evaluation, human data, or a two-sided marketplace
• Experience evaluating samples or data products with technical, analytics, clinical, privacy, security, or operations teams
• Familiarity with HIPAA, PHI, PII, de-identification, tokenization, linkage, consent, data-use agreements, business-associate requirements, intellectual property, licensing restrictions, or exclusivity structures
• Experience assessing data representativeness, missingness, label quality, longitudinal continuity, entity resolution, workflow coverage, or sampling bias
• Experience building partner programs, sourcing channels, pricing frameworks, qualification systems, privacy checklists, or other operating infrastructure from scratch
• Experience working across multiple healthcare subsectors, workflows, or modalities rather than owning only one narrowly defined category

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