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VP, Data Licensing & Commercial Strategy

Inovalon

RemoteREMOTE - USFull TimeStaff
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Location
REMOTE - US
Employment
Full Time
Work model
Remote
Level
Staff
Posted

About this role

Who We Are

Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building. Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare’s greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve.

Who You Are

As VP, Commercial Strategy, you will define how Inovalon’s Insights business commercializes and protects the value of its data assets across a complex and highly regulated healthcare ecosystem. You will work across commercial, legal, product, finance, data science, and governance teams to shape enterprise licensing strategy, align decision-making, and translate data rights and regulatory considerations into scalable commercial models. In this role, you will help accelerate growth across life sciences, payer, provider, and analytics partner markets while supporting effective product launches, stronger deal execution, and long-term enterprise value creation. What You’ll Do Define and execute the commercial strategy for data licensing and derived-data partnerships across the Insights portfolio, including pricing frameworks, rights structures, permitted use models, and intellectual property protections. Lead cross-functional coordination of data rights and licensing decisions with Sales, Legal, Finance, Product, Data Science, and Data Governance to support consistent and scalable commercial execution. Design licensing frameworks, templates, playbooks, approval guardrails, and fallback positions that reduce negotiation friction and enable sellers to advance strategic opportunities efficiently. Structure and support high-value enterprise licensing agreements, data partnerships, and other strategic commercial arrangements, including direct involvement in escalations, redlines, and resolution of non-standard terms. Ensure commercial terms, licensing models, and deal structures align with underlying data rights, governance policies, third-party license obligations, and applicable regulatory requirements. Partner with Product, Data Science, and Data Governance to embed monetization strategy and compliant licensing structures into new data products before launch. Translate legal, regulatory, governance, and third-party data requirements into commercially viable offerings that can be sold effectively across customer segments and use cases. Lead the commercial integration of data rights and contract structures in M&A activity, including harmonization of customer obligations, licensing terms, and acquired data asset considerations. Assess partnership and acquisition opportunities through a commercial data licensing lens, including contributions to valuation discussions where data assets are a primary driver of enterprise value. Monitor licensing performance, including deal velocity, non-standard term exceptions, and licensing-driven revenue, and present strategy, risk, and monetization recommendations to executive leadership. What You’ll Need 15+ years of experience in healthcare data and analytics, life sciences data, or other data-driven enterprise businesses, including 5 years in senior leadership in roles focused on data licensing, commercial contracting, or complex deal structuring. BA or BS degree in a business, legal, or technical discipline, or equivalent combination of education and experience required. Deep expertise in data licensing structures, including derived-data rights, permitted use, sublicensing terms, intellectual property protections, and data partnership models. Strong working knowledge of the regulated

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