Data Partnerships Manager

Job not on LinkedIn

🔥 0 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💰 Account Manager

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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 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

• 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