Drimva

Novartis

Dir, MAPS (Market Access Patient Services)/Medical Data Partnerships Lead

$186K–$344K

Remote Position (USA) · Full-time · Posted Oct 23, 2026

Experience
Minimum 8+ years; no alternatives stated.
Education
Bachelor's or Master's degree in Information Management, Computer Science, Business Administration, or related field.

About the job

Leads Novartis’s external data partnerships for Market Access, Patient Services, and Medical, ensuring data quality, governance, compliance, and effective use while evaluating new data and AI-enabled opportunities.

What you'll do

  • Develop and execute data partnership strategy; identify critical data needs and manage external partners and performance.
  • Coordinate data acquisition and integration, data quality standards, stewardship, security, and regulatory compliance.
  • Evaluate innovative data offerings and opportunities to responsibly integrate AI into data workflows and commercial use cases.

What they ask for

  • Bachelor's or Master's degree in Information Management, Computer Science, Business Administration, or related field.
  • Minimum 8+ years of experience in pharmaceutical, healthcare or pharmaceutical focused data vendor establishing and managing data partnerships, with a strong focus on data management and translating data to support use cases.
  • Expert understanding of data partnership principles, frameworks, and best practices, with a proven ability to forge strategic collaborations with external data providers and vendors.
  • Familiarity with regulatory requirements and industry standards related to data privacy and security.

Nice to have

  • Experience working for a data vendor or partnering extensively with data vendors, functional teams, or therapeutic area teams to define, evaluate, integrate, and operationalize data assets.
  • Practical experience evaluating emerging data capabilities, including AI-enabled tools, advanced analytics opportunities, and new partnership models.

Pay

$185,500.00 - $344,500.00 USD base salary

AI focus

Evaluate opportunities to responsibly integrate AI-enabled capabilities into partnership models, data workflows, and commercial use cases.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 6, 2026 (UTC)