AD, IDS and Data Partnerships

Job Description Summary

LI-#Remote

The Insights and Decision Science (IDS) team is dedicated to enabling improved decision-making at Novartis by leveraging data and advanced analytics capabilities to generate actionable insights that drive business growth. We collaborate closely with the US business, bringing insights and challenging ideas to empower smarter, data-driven decision-making. Reporting into the Executive Director, IDS and Data Partnerships, the Associate Director, IDS and Data Partnerships will play a critical role in establishing strong data partnerships to support the US Commercial organization. 

This position will be responsible for overseeing Novartis's existing strategic partnerships within IDS to ensure compliance and quality are maintained and that Novartis teams have the appropriate systems to meet the needs of their use case. As the Associate Director, IDS and Data Partnerships you will focus on forging and managing IDS data partnerships monitoring spends and ensuring that all external partnerships meet established data standards and regulatory requirements. You will collaborate with cross-functional teams to assess the effectiveness of ongoing data partnerships, track IDS partnerships and spends, enforce data stewardship practices, and ensure that data assets are being leveraged effectively across the organization. 

“This 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 10% travel.”

This is a one of two roles.

 

Job Description

Key Responsibilities:

• Implement the organization’s data partnership strategy, including the identification of the organization’s critical data needs.

• Monitor adherence to data quality, security, and compliance standards for all external data sources, platforms, and vendors, ensuring adherence to regulatory requirements and internal policies for data management.

• Collaborate with data vendors and cross-functional teams to address data quality issues and communicate any corresponding changes. 

• Implement oversight mechanisms for external data partnerships, ensuring compliance with data standards, data-sharing agreements, and internal policies for data management. 

• Implement data stewardship practices across platforms, vendors, and technology solutions, to verify data is properly managed and governed throughout the partnership, providing performance metrics and governance reports to senior leadership.

• Identify opportunities for operational efficiencies, improved governance, and enhanced collaboration across internal teams and external vendors.  

Essential Requirements:

Education: Bachelor's or Master's degree in Information Management, Computer Science, Business Administration, or related field.

Experience:  

Novartis seeks an individual with extensive experience in establishing and managing data partnerships. The ideal candidate will have a deep understanding of the data partnership landscape, including industry best practices for collaborating with external data providers. A proven ability to navigate data-related risks—such as privacy, security, and compliance issues—while building mutually beneficial partnerships is essential. The successful candidate will be committed to driving continuous improvement in the organization’s data partnership strategy, leveraging data insights and industry trends to strengthen collaboration and maximize the value of external data assets. 

• Minimum 6+ years of experience in establishing and managing data partnerships, with a strong emphasis on structuring partnership models, leading contract negotiations, and drafting statements of work (SOWs) to support external data acquisition and collaboration.
• Strong understanding of the external data landscape and vendor ecosystem, with familiarity across diverse data types (e.g., claims, EMR, sales data, specialty pharmacy), and the ability to assess their relevance, limitations, and appropriate use-cases.
• Deep understan