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Dir, MAPS; Market Access Patient Services​/Medical Data Partnerships Lead

Remote / Online - Candidates ideally in
Denver, Denver County, Colorado, 80285, USA
Listing for: Novartis
Remote/Work from Home position
Listed on 2026-10-09
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst, Data Warehousing, Information Security & Data Protection
Salary/Wage Range or Industry Benchmark: 186000 - 345000 USD Yearly USD 186000.00 345000.00 YEAR
Job Description & How to Apply Below
Position: Dir, MAPS (Market Access Patient Services)/Medical Data Partnerships Lead

Job Description Summary

#LI-Remote
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 20% travel.

Job description summary
The Data Innovation, Partnerships and Products (DIPP) team sits within the Data Products and Foundations pillar of SPT and is focused on enabling trusted, scalable data access and partnerships that support improved decision-making across Novartis.

The Director, MAPS (Market Access, Patient Services) and Medical Data Partnerships Lead will play a critical role in establishing and managing strategic data partnerships that support the US Commercial organization and broader SPT priorities.

This position will be responsible for overseeing Novartis’s existing strategic data partnerships within DIPP to ensure compliance and quality are maintained and that Novartis teams have the appropriate systems, processes, and data access to meet business needs.

As the Director, MAPS and Medical Data Partnerships Lead, this role will focus on managing external data partnerships, monitoring spend, and ensuring that partnerships meet data needs, established data standards, governance expectations, and regulatory requirements. The role will collaborate with cross-functional teams to assess partnership effectiveness, track partnership performance and spend, enforce data stewardship practices, and ensure data assets are leveraged effectively across the organization.

The role will also help identify new and innovative data offerings and evaluate where AI can be responsibly integrated into partnership models, data workflows, and commercial use cases to improve speed, in-sight generation, and enterprise value.

Job Description

Key Responsibilities:
  • Oversee the performance and outcomes of external data partnerships, including third-party platforms, vendors, and technology solutions
  • Develop and execute the organization’s data partnership strategy, including the identification of the organization’s critical data needs
  • Partner with Medical, Market Access, and Patient Services stakeholders to identify, evaluate, and manage external data partnerships that strengthen medical insights, real-world evidence, access, patient services, field medical execution, and outcomes-oriented decision-making
  • Work collaboratively to ensure data is addressing use cases Identify and evaluate innovative data offerings in collaboration with the Innovative Data Offerings team, emerging data sources, and opportunities to integrate AI-enabled capabilities that enhance customer engagement, marketing effectiveness, decision-making, and scalable business impact
  • Establish data quality SLAs and metrics with external data partners to ensure high quality data remains available for Novartis teams
  • Working with Data Monitoring and Standards, monitor and enforce 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
  • Work collaboratively with data vendors and cross-functional teams to address data quality issues and communicate any corresponding changes
  • Facilitate acquisition of data from requirements gathering through integration into Novartis’s platforms and systems
  • Establish oversight mechanisms for external data partnerships, ensuring compliance with data standards, data-sharing agreements, and internal policies for data management
  • Support the implementation of data stewardship practices across platforms, vendors, and technology solutions, to…
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