
10,000+ employees
Founded 1971
🤖 Artificial Intelligence
🤝 B2B
☁️ SaaS
Artificial Intelligence • B2B • SaaS
Grupo Protege is an AI training data platform that connects AI developers with high-quality, ethically sourced training data. It serves both AI developers by providing a vast and rich collection of data for model training and data holders by enabling them to monetize their data while maintaining governance and control. The platform aims to streamline the data procurement process significantly, making it easier for developers to access the data they need efficiently.
🔥 43 minutes ago
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10,000+ employees
Founded 1971
🤖 Artificial Intelligence
🤝 B2B
☁️ SaaS
Artificial Intelligence • B2B • SaaS
Grupo Protege is an AI training data platform that connects AI developers with high-quality, ethically sourced training data. It serves both AI developers by providing a vast and rich collection of data for model training and data holders by enabling them to monetize their data while maintaining governance and control. The platform aims to streamline the data procurement process significantly, making it easier for developers to access the data they need efficiently.
• Translate customer and prospect needs into healthcare data sourcing briefs • Map healthcare administrative and operations data supply and identify relevant supply paths • Source and build relationships with healthcare data holders and partners • Conduct partner discovery and qualification conversations • Evaluate workflow context, data generation, entities, events, linkages, fields, labels, and transformations • Assess whether datasets capture real operational work, workflow sequence, decisions, exceptions, outcomes, timestamps, and longitudinal context • Assess privacy, security, rights, PHI, PII, de-identification, consent, data-use agreements, business-associate requirements, and AI-use restrictions • Prioritize opportunities based on customer demand, strategic value, uniqueness, quality, representativeness, feasibility, rights posture, delivery readiness, and commercial potential • Own partner progression from initial conversation through NDA, sample intake, diligence, evaluation, deal structuring, contracting, activation, and handoff • Coordinate with Commercial, Data Lab, Solutions, Privacy, Security, Legal, Product, and Operations • Support customer and prospect deals by identifying viable healthcare data paths and aligning stakeholders • Help structure licensing, channel, co-development, exclusivity, data contribution, and other commercial arrangements • Maintain partner capabilities, sourcing requests, qualification status, samples, risks, approvals, and commercial readiness in systems of record • Develop repeatable healthcare sourcing, qualification, privacy, sample-review, and handoff workflows • Provide healthcare data market intelligence to leadership, Data Lab, Product, and Commercial • Build trusted partner relationships and provide clear communication and process • Establish a 30-, 60-, and 90-day operating rhythm for reactive deal support, proactive partner development, and scalable healthcare sourcing
• Experience in partnerships, business development, strategic sourcing, enterprise sales, marketplace development, procurement, healthcare operations, or a similarly commercial and relationship-oriented function • Track record of taking ambiguous opportunities from an initial question to a concrete plan, aligned stakeholders, and measurable progress • Strong commercial judgment • Experience navigating multi-stakeholder work across external partners and technical, commercial, privacy, legal, security, and operational stakeholders • Ability to qualify healthcare data opportunities by assessing workflow, data generation, quality, provenance, rights, privacy, scale, timeline, economics, and decision-makers • Healthcare fluency sufficient to understand how administrative and operational data is created, where it may be incomplete or biased, and how workflow context affects usefulness • Strong written and verbal communication • Operational rigor in pipeline and relationship management • Comfort working with incomplete playbooks and changing priorities • Bias toward action and persistence • Ability to build trust while protecting standards around rights, privacy, security, quality, delivery, and commercial sustainability • Nice to have: experience with healthcare administrative, claims, payer, provider, revenue-cycle, prior-authorization, scheduling, call-center, pharmacy, laboratory, imaging, or care-management data • Nice to have: experience with healthcare organizations, data holders, aggregators, brokers, technology vendors, or workflow operators • Nice to have: familiarity with HIPAA, PHI, PII, de-identification, tokenization, linkage, consent, data-use agreements, business-associate requirements, intellectual property, licensing restrictions, or exclusivity structures
• Remote work arrangement • Equal employment opportunity protections • Voluntary self-identification information is confidential and kept separate from personnel records
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