Strategic Partnerships Manager, Healthcare Data

Job not on LinkedIn

🔥 13 hours ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💰 Account Manager

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 1 day.
• Jobs at this company usually fill in 53 days.
• No salary listed.

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Grupo Protege

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Translate customer and prospect needs into healthcare data sourcing briefs • Build a map of healthcare data supply and potential partner categories • Source and develop relationships with healthcare data holders, aggregators, brokers, technology vendors, and workflow operators • Run partner discovery and qualification conversations • Evaluate datasets for operational workflow context, quality, provenance, permissions, and delivery models • Assess privacy, security, rights, PHI, PII, de-identification, consent, and AI-use restrictions • Prioritize opportunities based on demand, strategic value, uniqueness, quality, representativeness, feasibility, rights posture, delivery readiness, and commercial potential • Own partner progression through NDA, sample intake, diligence, Data Lab 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 managing expectations • Help structure licensing, channel, co-development, exclusivity, data contribution, and other commercial partnerships • Maintain partner capabilities, sourcing requests, qualification status, samples, risks, approvals, next steps, and commercial readiness in systems of record • Develop repeatable healthcare sourcing workflows, qualification criteria, intake processes, privacy and rights checklists, sample-review standards, and handoff requirements • Bring healthcare AI market intelligence to leadership, Data Lab, Product, and Commercial • Build trusted partner relationships and provide clear communication and a credible path to value • During the first 30 days, learn the healthcare data landscape, map priority partners, prioritize sourcing needs, and run initial qualification conversations • During days 31–60, convert requests into sourcing plans, progress partners through diligence and evaluation, support active deals, and document reusable workflows • During days 61–90, establish a repeatable sourcing rhythm, build a prioritized pipeline, progress opportunities, and deliver a 90-day operating assessment

🎯 Requirements

• 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 and ability to assess healthcare data partners • Experience navigating multi-stakeholder work across external partners and technical, commercial, privacy, legal, security, and operational teams • Ability to qualify healthcare data opportunities by assessing workflow, data generation, quality, provenance, rights, privacy, scale, timeline, economics, and decision-makers • 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 in moving complex work forward • Ability to build trust with external partners 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 licensing, AI/ML infrastructure, model development, evaluation, human data, or two-sided marketplaces • 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

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