Remote Associate Director, Rare Disease Data Partnerships

Healthcare Businesswomen’s Association; United States; On-site; USD 146,000 - 270,000; Full time

Job summary

Novartis is seeking an Associate Director, Data Partnerships - Rare Disease to establish and manage external data partnerships that support US Commercial operations, patient access, and field execution. This role requires deep healthcare data knowledge and collaboration with vendors to drive data-driven decision-making.

You will oversee data stewardship, compliance, spend tracking, and governance across external data assets, ensuring data quality and regulatory alignment while guiding internal

Qualifications

• Education as stated: Bachelor's or Master's in information management, computer science, business administration, or related field.
• Minimum 6 years of experience establishing and managing data partnerships, with a focus on rare disease or healthcare data.
• Experience with data vendors, data providers, or analytics organizations is strongly preferred.

Responsibilities

• Implement rare disease data partnership strategy across US Commercial brands and functions.
• Establish and manage partnerships with external data providers and vendors to maximize value.
• Monitor data quality, privacy, security, and compliance across partnerships.
• Track partnerships and spend; provide governance reporting to senior leadership.

Skills

Leadership

Communication

Stakeholder management

Change management

Analytical thinking

Education

Bachelor’s or Master’s degree in Information Management, Computer Science, Business Administration

Tools

IQVIA

Komodo

MMIT

Symphony

Definitive Healthcare

Veeva

Job description

Novartis is seeking an Associate Director, Data Partnerships - Rare Disease to establish and manage external data partnerships that support US Commercial operations, patient access, and field execution. This role requires deep healthcare data knowledge and collaboration with vendors to drive data-driven decision-making.

You will oversee data stewardship, compliance, spend tracking, and governance across external data assets, ensuring data quality and regulatory alignment while guiding internal