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Novartis AG in the United States is seeking an Associate Director, Data Partnerships - Rare Disease to lead strategic collaborations with external data vendors and partners. You will help shape the data partnerships strategy and ensure alignment with US Commercial priorities.
This role involves overseeing data governance, measuring partnership performance, and enabling data-driven decision making across rare disease brands, patient access initiatives, and field execution.
#LI-RemoteThis position can be based remotely anywhere in the U.S. (there may be some restrictions based on legal entity). Please note that this role would not provide relocation as a result. The expectation of working hours and travel (domestic and/or international) will be defined by the hiring manager. This position will require 20% travel.Job description summary The Data Innovation, Partnerships and Products team, under the Data Products and Foundations pillar within Strategy, Platforms and Transformation, enables improved decision-making at Novar-tis by leveraging data and advanced analytics capabilities to generate actionable insights that drive business growth. The Associate Director, Data Partnerships - Rare Disease will play a critical role in establishing, managing, and strengthening rare disease-focused data partnerships that support the US Commercial organization and advance priority business needs across rare dis-ease brands, customer engagement, patient access, patient finding, and field execution.This role is responsible for overseeing Novartis’ strategic rare disease data partnerships within SPT to ensure compliance, quality, business relevance, and effective use of external data assets. The Associate Director will bring depth in healthcare and rare disease data, including experience working with or for a data vendor, and will help implement the data partnership strategy, monitor spend and partnership performance, enforce data stewardship practices, and partner with internal teams to identify the most relevant rare disease data sets to support business needs and data-driven decision-making.