Data Partnerships Manager

Protege

About The Position

Protege is hiring a Partnerships Manager, Data Sourcing to help customers and prospects access high-value, rights-protected data quickly. The role sits at the intersection of customers, commercial teams, Data Lab, Solutions, Operations, and external data partners. It turns data needs into sourcing strategies, identifies and qualifies suitable partners, and advances opportunities from initial conversations through diligence, contracting, activation, and handoff. This generalist role has a focus in revenue cycle management (RCM) and combines reactive sourcing for active customer and prospect deals with proactive development of relationships with promising data holders, aggregators, brokers, and channel partners. The manager prioritizes opportunities based on customer value, data quality and rights standards, feasibility, strategic importance, and commercial sustainability. The position also develops repeatable sourcing workflows and qualification and handoff standards, maintains accurate partner and opportunity records, supports customer deals, and shares market intelligence with leadership and cross-functional teams. The role calls for someone who can exercise commercial judgment, build partner trust, and keep complex work moving in a fast-paced environment with an evolving playbook.

Requirements

Experience in partnerships, business development, strategic sourcing, enterprise sales, marketplace development, procurement, or a similar commercial and relationship-oriented function.
Experience working in the revenue cycle market, directly or as part of broader healthcare operations.
A track record of taking ambiguous opportunities from an initial question to a concrete plan, aligned stakeholders, and measurable progress.
Strong commercial judgment and willingness to decline partner opportunities with a weak fit.
Experience coordinating multi-stakeholder work involving external partners and internal technical, commercial, legal, and operational teams.
Ability to qualify data or technology opportunities by asking practical questions about use case, quality, provenance, rights, scale, timeline, economics, and decision-makers.
Strong written and verbal communication, including the ability to explain nuanced data or AI training to customers, partners, researchers, operators, and executives.
Operational rigor in pipeline and relationship management, including accurate records, clear ownership, crisp next steps, and consistent follow-through.
Comfort working with an incomplete playbook and changing priorities as customer demand emerges.
Bias toward action and persistence in moving complicated work forward without unnecessary friction.
Ability to build external partner trust while protecting standards around rights, privacy, quality, delivery, and commercial sustainability.

Nice To Haves

Experience with data licensing, AI/ML infrastructure, model development, evaluation, human data, or a two-sided marketplace.
Existing relationships with data aggregators, brokers, expert networks, content owners, healthcare organizations, media companies, or other holders of valuable real-world data.
Experience evaluating samples or data products with technical teams.
Familiarity with data provenance, privacy, de-identification, intellectual property, licensing restrictions, or exclusivity structures.
Experience building partner programs, sourcing channels, pricing frameworks, qualification systems, or other operating infrastructure from scratch.
Experience working across multiple verticals or modalities rather than owning one narrowly defined category.

Responsibilities

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 across Protege’s verticals and modalities.
Conduct partner discovery and qualification conversations about data capabilities, provenance, rights, licensing, exclusivity, privacy and de-identification, scale, technical maturity, and commercial potential.
Prioritize opportunities based on demand, strategic value, data quality, uniqueness, feasibility, and potential for a sustainable commercial relationship.
Manage partner progression from first conversation through NDA, sample intake, Data Lab evaluation, feedback, diligence, deal structuring, contracting, activation, and operational handoff.
Coordinate with Commercial, Data Lab, Solutions, Product, Legal, and Operations to advance partner opportunities while managing delivery, rights, and pricing risks.
Support customer and prospect deals by finding viable data paths, setting realistic expectations, and aligning internal and external stakeholders on next steps.
Help structure licensing, channel, co-development, exclusivity, and other commercial arrangements, using standard terms and pricing guardrails where possible.
Maintain current 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.
Share market intelligence with leadership, Data Lab, Product, and Commercial about customer demand, emerging supply, partner economics, and strategic gaps.
Build trusted partner relationships through clear communication, a thoughtful process, and a credible path to value through Protege.
Build visibility into active data requests, the partner landscape, vertical ownership, and sourcing-to-activation workflows.
Create prioritized views of reactive sourcing needs and proactive partner categories, with clear owners and next steps.
Establish an operating rhythm for reactive deal support and proactive partner development, and build a prioritized partner pipeline.
Advance partner opportunities toward activation or document decisions to advance, pause, or disqualify them.
Provide a 90-day assessment of sourcing effectiveness, commercial leverage, and systems or decisions needed to scale the function.