Requirements and responsibilities
Company Overview: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.Role Overview:We’re looking for a Partner Data Operations Lead (Healthcare) to operationalize and scale the data partner ecosystem that powers Protege’s healthcare AI products.You will own execution — ensuring each healthcare partner is successfully onboarded, technically integrated, commercially aligned, and consistently delivering on customer engagements.You will sit at the intersection of partnerships, science, product, and customer delivery — translating signed agreements into reliable, high-quality data supply.This role requires deep understanding of healthcare data operations, strong cross-functional coordination, and the ability to manage complexity across multiple concurrent deals.Key Responsibilities:Operationalize Healthcare Data PartnershipsLead onboarding of new healthcare data partners, establishing repeatable operational playbooksCoordinate secure data access, querying workflows, and transfer mechanismsPartner with Product and Engineering to align on ingestion, normalization, and technical setupEnsure privacy, compliance, and governance requirements are properly implemented in collaboration with Legal and ComplianceDevelop structured processes to scale partner onboarding efficientlyEvaluate Data Readiness & QualityConduct structured evaluations of partner datasets across EHR, imaging, claims, genomics, device, or real-world dataPartner with DataLab to assess data completeness, quality, modality coverage, and fitness for AI training use casesCollaborate with scientific teams to support feasibility assessments for customer projectsIdentify data gaps, operational risks, and areas requiring remediationEstablish partner performance scorecards tracking responsiveness, reliability, and data qualityExecute on Customer-Specific Data EngagementsAlign partners on project requirements, qualification criteria, and delivery timelinesTrack feasibility analyses and ensure timely, accurate partner responsesMonitor deal progress from qualification through fulfillmentCoordinate data delivery milestones and resolve execution bottlenecksProactively surface risks to internal stakeholders and propose mitigation plansDrive Ongoing Partner Performance & ValueEnsure partners are fulfilling their obligations across individual customer engagementsMonitor utilization, revenue contribution, and operational performancePartner with the Strategic Partnerships Lead to identify expansion opportunitiesMaintain aligned communication between partners and internal teamsContinuously improve operational workflows to increase reliability and speedRepresent Operational Excellence in the MarketServe as the primary execution point of contact for healthcare data partnersBuild trusted relationships grounded in transparency, responsiveness, and accountabilityReinforce Protege’s position as the premier platform for responsible AI data collaborationAbout You:6–10+ years of experience in healthcare data operations, partnerships execution, data program management, or similar rolesDeep understanding of healthcare data modalities (EHR, imaging, claims, genomics, device, or real-world data) and how they are operationalizedExperience onboarding healthcare data partners or integrating health system or aggregator datasets into platformsTechnical ability to work with data in Snowflake, Databricks, and other tools.Comfortable discussing data extraction, normalization, de-identification, and AI training data readiness with technical teamsDemonstrated success managing complex, cross-functional delivery across legal, compliance, engineering, and commercial stakeholdersStrong operational discipline — you build process, track details, and manage multiple concurrent workstreamsCommercially aware — you understand contract structures, revenue share models, and project-level financial trackingPragmatic and accountable — you focus on execution, not just designBonus:Advanced technical or scientific background (MS, or equivalent experience)Experience working in or with healthcare data aggregators, tokenization networks, or AI data providersFamiliarity with privacy-preserving data linkage and de-identification workflowsProtege Values Pass the Loved Ones’ TestWe act with integrity and do the right thing — especially when it’s hard and no one is watching.Always Find a WayWe are resourceful, resilient builders who solve hard problems and push through obstacles.Go Fast and Grow FastVelocity matters. We move with urgency, learn quickly, and continuously improve as individuals and as a company.Practice Kindness and CandorWe communicate directly and respectfully, building trust through honest feedback and genuine care for one another.Deliver TogetherWe win as one team. Collaboration, accountability, and shared ownership drive our success.Own the Outcome. Hone the Craft.We take pride in our work, sweat the details, and continuously raise the bar for excellence.
Optionally, you can add more information later (benefits, pre-screening questions, etc.)