Data Partnerships Manager

Grupo Protege

. Translate customer and prospect data needs into sourcing briefs covering modality, use case, volume, format, geography, timeline, rights requirements, and success criteria .

Posted 10/22/2026full-timeRemote • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in strategic sourcing and partnership development, with a strong focus on navigating complex stakeholder environments and ensuring compliance with rights and privacy standards. Proven ability to translate data needs into actionable plans while maintaining operational rigor and building trusted relationships.

Highest-signal resume keywords

Strategic SourcingPartnership DevelopmentRevenue Cycle Market ExperienceData LicensingMulti-Stakeholder Navigation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data SourcingCommercial JudgmentPipeline ManagementData Provenance EvaluationLicensing StructuresOperational RigorMarket IntelligencePartner QualificationDeal StructuringSample Evaluation

Soft Skills

Strong CommunicationTrust BuildingBias Toward ActionPersistenceAdaptability

Industry Keywords

Healthcare OperationsData AggregatorsContent OwnersExpert NetworksTwo-Sided MarketplacesAI/ML InfrastructureCommercial SustainabilityExclusivity StructuresIntellectual PropertyData Products

About the role

Key responsibilities & impact

Translate customer and prospect data needs into sourcing briefs covering modality, use case, volume, format, geography, timeline, rights requirements, and success criteria
Source and build relationships with data holders, aggregators, brokers, channel partners, and other supply paths
Run partner discovery and qualification conversations covering capabilities, provenance, rights, licensing, exclusivity, privacy, de-identification, scale, technical maturity, and commercial potential
Prioritize opportunities based on demand, strategic value, quality, uniqueness, feasibility, and sustainable commercial potential
Own partner progression from initial conversation through NDA, sample intake, Data Lab evaluation, diligence, deal structuring, contracting, activation, and handoff
Coordinate with Commercial, Data Lab, Solutions, Product, Legal, and Operations
Support customer and prospect deals by identifying viable data paths and aligning stakeholders
Help structure licensing, channel, co-development, exclusivity, and other commercial partnerships
Maintain records of partner capabilities, sourcing requests, qualification status, samples, risks, next steps, and commercial readiness
Develop repeatable sourcing workflows, qualification criteria, partner-intake processes, and handoff standards
Bring market intelligence to leadership, Data Lab, Product, and Commercial
Build trusted partner relationships and provide clear communication and a credible path to value
Establish reactive deal support and proactive partner development operating rhythms
Build a prioritized partner pipeline and progress opportunities into activation or documented decisions

Requirements

What you’ll need

Experience in partnerships, business development, strategic sourcing, enterprise sales, marketplace development, procurement, or a similarly commercial and relationship-oriented function
Experience working in the revenue cycle market, directly or as part of larger healthcare operations
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 prioritize viable partners
Experience navigating multi-stakeholder work across external partners and technical, commercial, legal, and operational internal teams
Ability to qualify data or technology opportunities across use case, quality, provenance, rights, 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
Ability to build trust with external partners while protecting standards around rights, privacy, quality, delivery, and commercial sustainability
Nice to have: experience with data licensing, AI/ML infrastructure, model development, evaluation, human data, or two-sided marketplaces
Nice to have: relationships with data aggregators, brokers, expert networks, content owners, healthcare organizations, media companies, or other data holders
Nice to have: experience evaluating samples or data products with technical teams
Nice to have: familiarity with data provenance, privacy, de-identification, intellectual property, licensing restrictions, or exclusivity structures
Nice to have: experience building partner programs, sourcing channels, pricing frameworks, qualification systems, or operating infrastructure from scratch
Nice to have: experience across multiple verticals or modalities