Data Partnerships Manager

• 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

• 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