Data Management Manager

Scorpion Therapeutics; United States; Remote; USD 110,000 - 150,000; Full time

Job summary

Neurocrine’s endocrinology franchise seeks a Data Management Manager to lead data initiatives, integrate VYKAT XR, and manage data vendors within the commercial data ecosystem.

You will partner with Commercial Analytics and Operations to optimize processes, ensure data quality, and develop governance policies, delivering reliable data tools for marketing insights.

Qualifications

• Bachelor's degree in a technical discipline; 6+ years in pharma/biotech commercial ops and data management.
• Master's degree preferred; 4+ years in pharma/biotech data management or related field.

Responsibilities

• Lead data projects within the commercial data ecosystem.
• Integrate VYKAT XR and manage data vendors and contracts.
• Ensure data quality and perform impact assessments.
• Develop data governance policies and standards.
• Collaborate with Commercial Analytics and Operations to optimize data processes.
• Address complex data issues and build reliable, scalable data tools for insights.

Skills

SQL

Python

Power BI

Tableau

Excel

Databricks

HIPAA compliance

Project management

Education

Bachelor's degree in Computer Science/Engineering/Math

Master's degree

Tools

SQL

Python

Power BI

Tableau

Excel

Databricks

Job description

Role: Data Management Manager, Endocrinology, supporting Neurocrine's endocrinology franchise within the commercial data ecosystem. Responsibilities include leading data projects, integrating VYKAT XR, managing data vendors and contracts, ensuring data quality, performing impact assessments, and developing data governance policies. The role requires partnering with Commercial Analytics and Operations to optimize data processes, addressing complex data issues, and improving data tools and controls. Reporting to the Associate Director, this position involves cross-functional collaboration across commercial teams, with a focus on maintaining reliable, scalable data capabilities to support marketing and commercial insights.

Qualifications: Bachelor's degree in a technical discipline (e.g., Computer Science, Engineering, Math) with 6+ years of experience in pharmaceutical or biotech commercial operations and data management; a Master's degree and 4+ years of experience preferred. Expertise in commercial data management (3+ years), familiarity with biopharma data sources like IQVIA, patient claims, and digital marketing data is essential. Proficiency in tools such as SQL, Python, Power BI, Tableau, Excel, and Databricks is required. Strong project management, communication skills, and experience handling patient-level data in compliance with HIPAA are needed.

High-value specifics: Focus on biopharma commercial data, integrating digital and claims data sources, supporting endocrinology products, and collaborating in a matrixed environment. Location: likely remote with cross-functional stakeholder engagement.