[Hiring] Partnerships Manager, Healthcare Administrative & Operations Data @Protege

Role Description

Protege is hiring a Partnerships Manager, Healthcare Administrative & Operations Data to help customers and prospects access high-value, rights-protected healthcare data for AI training, post-training, evaluation, and workflow development.

You will sit at the intersection of customers, commercial teams, Data Lab, Solutions, Privacy and Legal, Operations, and healthcare data partners.

Your job will be to turn an unmet healthcare data need into a clear sourcing strategy, identify and qualify the right supply paths, and move the opportunity from first conversation through diligence, contracting, activation, and handoff.

This role is focused on administrative and operational data rather than primarily clinical or diagnostic datasets. Relevant workflows may include:

• Eligibility, enrollment, benefits, and member administration
• Claims, billing, payment, revenue cycle, and denial management
• Prior authorization, utilization management, and referral operations
• Scheduling, access, intake, registration, and care coordination
• Provider network, credentialing, staffing, and practice operations
• Contact center, patient/member communications, and service operations
• Pharmacy, lab, imaging, and other healthcare workflow operations
• Health plan, employer, third-party administrator, and population-health administration
• EHR, practice-management, care-management, and revenue-cycle workflow data

This is a generalist role with two connected motions:

• Reactive sourcing: Respond quickly to data requests tied to active customer and prospect opportunities, identifying the closest-aligned healthcare workflow or partner path and driving the work toward a viable commercial outcome.
• Proactive sourcing: Build relationships with promising healthcare organizations, technology companies, data aggregators, brokers, and channel partners before a specific deal requires them, using customer demand, market intelligence, and Data Lab priorities to decide where to invest.

Qualifications

• 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.

Requirements

• 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.

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Flexible working hours and remote work options.
• Generous vacation and paid time off policies.
• Professional development opportunities and training.

Company Description

We are building Protege to solve the biggest unmet need in AI — getting access to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data.

Solving AI’s data problem is a generational opportunity. We’re backed by world-class investors and already powering partnerships with some of the most ambitious teams in AI. The company that succeeds will be one of the largest in AI — and in tech.

We’re a lean, fast-moving, high-trust team of builders who are obsessed with velocity and impact. Our culture is built for people who thrive on ambiguity, own outcomes, and want to shape the future of data and AI.