Dir, MAPS (Market Access Patient Services)/Medical Data Partnerships Lead
Novartis
August 24, 2026
Remote
United States
Market Access
Key Responsibilities:
- Oversee the performance/outcomes of external data partnerships (platforms, vendors, technology solutions).
- Develop and execute the data partnership strategy; identify critical data needs.
- Partner with Medical, Market Access, and Patient Services to identify, evaluate, and manage partnerships supporting medical insights, real-world evidence, access, patient services, field medical execution, and outcomes decision-making.
- Identify and evaluate innovative data offerings; collaborate on opportunities to integrate AI-enabled capabilities into partnership models and commercial use cases.
- Establish data quality SLAs/metrics with partners; monitor and enforce data quality, security, and compliance standards with Data Monitoring and Standards.
- Work with vendors/cross-functional teams to address data quality issues and communicate changes.
- Facilitate end-to-end data acquisition (requirements → integration into Novartis platforms/systems).
- Implement oversight mechanisms (data standards, data-sharing agreements, internal data management policies).
- Support data stewardship across platforms/vendors/solutions; provide performance metrics and governance reports to senior leadership.
- Coordinate training/awareness on compliant data usage; continuously evaluate existing partnerships/solutions.
Essential Requirements:
- Bachelor’s or Master’s in Information Management, Computer Science, Business Administration, or related field.
- 8+ years establishing/managing data partnerships with a focus on data governance/data management.
- Expert understanding of data partnership principles/frameworks/best practices.
- Familiarity with data privacy/security regulatory requirements and industry standards.
- Strong leadership, communication, stakeholder management; ability to influence change.
- Strong analytical/problem-solving skills and ability to manage partnership risks.
Preferred:
- Experience working for a data vendor and/or partnering with functional/therapeutic area teams to define/evaluate/integrate/operationalize data assets.
- Oversee the performance/outcomes of external data partnerships (platforms, vendors, technology solutions).
- Develop and execute the data partnership strategy; identify critical data needs.
- Partner with Medical, Market Access, and Patient Services to identify, evaluate, and manage partnerships supporting medical insights, real-world evidence, access, patient services, field medical execution, and outcomes decision-making.
- Identify and evaluate innovative data offerings; collaborate on opportunities to integrate AI-enabled capabilities into partnership models and commercial use cases.
- Establish data quality SLAs/metrics with partners; monitor and enforce data quality, security, and compliance standards with Data Monitoring and Standards.
- Work with vendors/cross-functional teams to address data quality issues and communicate changes.
- Facilitate end-to-end data acquisition (requirements → integration into Novartis platforms/systems).
- Implement oversight mechanisms (data standards, data-sharing agreements, internal data management policies).
- Support data stewardship across platforms/vendors/solutions; provide performance metrics and governance reports to senior leadership.
- Coordinate training/awareness on compliant data usage; continuously evaluate existing partnerships/solutions.
Essential Requirements:
- Bachelor’s or Master’s in Information Management, Computer Science, Business Administration, or related field.
- 8+ years establishing/managing data partnerships with a focus on data governance/data management.
- Expert understanding of data partnership principles/frameworks/best practices.
- Familiarity with data privacy/security regulatory requirements and industry standards.
- Strong leadership, communication, stakeholder management; ability to influence change.
- Strong analytical/problem-solving skills and ability to manage partnership risks.
Preferred:
- Experience working for a data vendor and/or partnering with functional/therapeutic area teams to define/evaluate/integrate/operationalize data assets.