Director, AI & Data Partner Evaluation
Core
Evaluate and mobilize external AI/ML data partners and datasets to power evidence generation, multimodal analytics, and clinical decision-making for therapeutic areas including Oncology and Biopharmaceuticals.
Role type
Director, AI & Data Partner Evaluation
Builds
Enterprise AI engine capabilities by integrating external data sources with internal computational platforms.
Domain
Biopharmaceuticals / Real-World Evidence (RWE) / Health Data Science
Deliverable
client delivery
Required skills
Technical data assessment, multimodal data integration, regulatory compliance (EMA/FDA), partnership lifecycle management, cross-functional collaboration, data governance, strategic planning
Preferred skills
Oncology domain expertise, AI-enabled data partner evaluation, data tokenization knowledge, clinical trial design support, HEOR data needs
Technologies
EHR, claims databases, genomic/molecular data providers, registries, digital health platforms, ICD, SNOMED, NDC, OMOP, FHIR
Responsibilities
Lead fit-for-purpose evaluations of external datasets and partners; Build and maintain a best-in-class data partner network; Align data partnerships to therapeutic area evidence priorities; Drive partnership governance and value realization; Support transaction execution and mobilization; Contribute to enterprise data and AI strategy
Seniority
Director, strategic & operational leadership