Strategic Data Partnership Manager

Position Summary

The Strategic Data Partnership Manager will own and grow strategic data partnerships, support customer success, and identify new opportunities to expand the data ecosystem and revenue growth.

Primary Responsibilities

• Own and grow existing partnerships.
• Manage relationships with current data and technology partners — ensuring they remain productive, identifying opportunities for expansion, and renegotiating agreements when business needs evolve.
• Drive customer success with data.
• Partner with data science and cross-functional teams to address customer questions, build a knowledge library of best practices and use cases, and advocate for product and engineering improvements that accelerate customer time-to-insight.
• Identify and develop new partnerships.
• Assess gaps in our data offerings (SDoH, clinical depth, novel real-world sources, etc.), evaluate potential partners, and manage the process end-to-end — from sourcing, and due diligence through commercial negotiations, legal review and integration.

Preferred Qualifications / Requirements

• Bachelor's degree or equivalent combination of education and experience.
• 5+ years of experience working with analytical data products, data-driven solutions, or related client-facing roles.
• Experience working with healthcare data and analytics solutions preferred; experience in similarly complex industries (e.g. financial services, advertising technology, or government data) will also be considered.
• Proven experience managing external partner or client relationships with significant business impact, including revenue responsibility, contractual obligations, and executive-level engagement.
• Ability to translate ambiguous business challenges into technical or analytical solutions and effectively communicate requirements between business and technical stakeholders.
• Strong understanding of the U.S. healthcare ecosystem, including payers, providers, and life sciences organizations.
• Knowledge of healthcare data sources and how they integrate, including claims, EHR, pharmacy (Rx), laboratory, and social determinants of health (SDoH) data.
• Familiarity with healthcare data privacy and compliance concepts, including HIPAA, de-identification methodologies, and data governance frameworks.
• Understanding of data licensing and commercial data management, including usage rights, licensing terms, volume-based pricing structures, downstream use cases, and audit/compliance requirements.
• Excellent written and verbal communication skills with the ability to present complex concepts clearly to both technical and non-technical audiences.
• Demonstrated ability to build credibility and influence across cross-functional teams, including engineering, analytics, sales, and executive leadership.