Partnerships Operations Lead (Healthcare)

Company Overview:

We are building Protege to solve the biggest unmet need in AI — getting access to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data.

Solving AI’s data problem is a generational opportunity. We’re backed by world-class investors and already powering partnerships with some of the most ambitious teams in AI. The company that succeeds will be one of the largest in AI — and in tech.

We’re a lean, fast-moving, high-trust team of builders who are obsessed with velocity and impact. Our culture is built for people who thrive on ambiguity, own outcomes, and want to shape the future of data and AI.

Role Overview:

We’re looking for a Partnerships Operations Lead (Healthcare) to operationalize and scale the data partner ecosystem that powers Protege’s healthcare AI products.

You will own execution — ensuring each healthcare partner is successfully onboarded, technically integrated, commercially aligned, and consistently delivering on customer engagements.

You will sit at the intersection of partnerships, science, product, and customer delivery — translating signed agreements into reliable, high-quality data supply.

This role requires deep understanding of healthcare data operations, strong cross-functional coordination, and the ability to manage complexity across multiple concurrent deals.

Key Responsibilities:

Operationalize Healthcare Data Partnerships

• Lead onboarding of new healthcare data partners, establishing repeatable operational playbooks

  Coordinate secure data access, querying workflows, and transfer mechanisms

  Partner with Product and Engineering to align on ingestion, normalization, and technical setup

  Ensure privacy, compliance, and governance requirements are properly implemented in collaboration with Legal and Compliance

  Develop structured processes to scale partner onboarding efficiently

Evaluate Data Readiness & Quality

• Conduct structured evaluations of partner datasets across EHR, imaging, claims, genomics, device, or real-world data

  Partner with DataLab to assess data completeness, quality, modality coverage, and fitness for AI training use cases

  Collaborate with scientific teams to support feasibility assessments for customer projects

  Identify data gaps, operational risks, and areas requiring remediation

  Establish partner performance scorecards tracking responsiveness, reliability, and data quality

Execute on Customer-Specific Data Engagements

• Align partners on project requirements, qualification criteria, and delivery timelines

  Track feasibility analyses and ensure timely, accurate partner responses

  Monitor deal progress from qualification through fulfillment

  Coordinate data delivery milestones and resolve execution bottlenecks

  Proactively surface risks to internal stakeholders and propose mitigation plans

  Drive Ongoing Partner Performance & Value

  • Ensure partners are fulfilling their obligations across individual customer engagements

    Monitor utilization, revenue contribution, and operational performance

    Partner with the Strategic Partnerships Lead to identify expansion opportunities

    Maintain aligned communication between partners and internal teams

    Continuously improve operational workflows to increase reliability and speed

    Represent Operational Excellence in the Market

    • Serve as the primary execution point of contact for healthcare data partners

      Build trusted relationships grounded in transparency, responsiveness, and accountability

      Reinforce Protege’s position as the premier platform for responsible AI data collaboration

      About You:

      6–10+ years of experience in healthcare data operations, partnerships execution, data program management, or similar roles

      Deep understanding of healthcare data modalities (EHR, imaging, claims, genomics, device, or real-world data) and how they are operationalized

      Experience onboarding healthcare data partners or integrating health system or aggregator datasets into platforms

      Technical ability to work with data in Snowflake, Databricks, and other tools.

      Comfortable discussing data extraction, normalization, de-identification, and AI training data readiness with technical teams

      Demonstrated success managing complex, cross-functional delivery across legal, compliance, engineering, and commercial stakeholders

      Strong operational discipline — you build process, track details, and manage multiple concurrent workstreams

      Commercially aware — you understand contract structures, revenue share models, and project-level financial tracking

      Pragmatic and accountable — you focus on execution, not just design

      Bonus:

      Advanced technical or scientific background (MS, or equivalent experience)

      Experience working in or with healthcare data aggregators, tokenization networks, or AI data providers

      Familiarity with privacy-preserving data linkage and de-identification workflows

      Why Protege

      • Shape the partnerships strategy powering AI innovation in healthcare

        Work with leading health systems, aggregators, and AI developers redefining data collaboration

        Collaborate with top-tier scientific and product leaders to bring groundbreaking data ideas to scale

        Competitive compensation, equity, and benefits package