Senior Manager, Commercial Data Management

Job Description:

As a privately-owned, biopharmaceutical company, Ferring pioneers and delivers life-changing therapies that help people build families and live better lives. Our independence helps us cultivate an entrepreneurial spirit and long-term perspective that enables us to achieve growth and scale, while remaining agile and true to our ‘people first’ philosophy. Built on a 70-year plus commitment to science and research, Ferring is relentless in its pursuit of science that drives powerful discoveries and therapies to help people build families, stay healthy, and stand up to the world’s oldest enemy: disease.  

We are seeking a highly skilled and motivated professional to manage data management, governance, and business intelligence solutions. The ideal candidate will work cross-functionally with key stakeholders, lead data acquisition efforts, and develop data solutions that drive analytics and insights for business decision-making.

With Ferring, you will be joining a recognized leader, identified as one of “The World’s Most Innovative Companies” by Fast Company, and honored by Fortune with inclusion on its “Change the World List,” for addressing society’s unmet needs. Ferring US is also Great Places to Work® Certified, distinguishing it as one of the best companies to work for in the country. 

Responsibilities:  

• Lead efforts to acquire and integrate new data sources, negotiating agreements with third parties.

• Collaborate with Commercial Analytics, IT, Marketing, Sales, and other teams to consolidate data into a single, efficient platform.

• Implement and oversee Data Quality Management (DQM) processes to ensure data accuracy, completeness, and timeliness.

• Design and build data marts to support advanced analytics, self-service business intelligence, and data visualization.

• Work with existing data management partners to document and manage data ingestion pipeline processes.

• Ensure datasets are prepared and optimized for analytics, reporting, and generative AI applications.

• Establish and enforce data governance processes for managing data products and solutions.

• Ensure compliance with regulatory standards related to claims data analysis and reporting.

• Deploy and maintain business intelligence tools (Tableau/Power BI) for commercial leadership and field teams.

• Translate business challenges into technical solutions and function as a key business lead for data integration efforts.

• Provide cross-functional analytical support for field operations, data governance, and commercial analytics.

• Manage business vendor relationships, oversee contract negotiations, and define data formats.

• Stay updated on industry trends, emerging technologies, and best practices in data management and life sciences.

Requirements: 

• 3-5 years of experience in commercial data management roles within the pharma/biotech industry.

• Strong knowledge of pharmaceutical data sources, industry regulations, and compliance requirements.

• Innovative mindset with a problem-solving approach to data integration and analysis.

• Experience with data analytics, data management and data visualization.

• Good knowledge of SQL and able to pull information from different sources.

Additional Responsibilities:

• Define and oversee all commercial pharma data processes.

• Establish and maintain business rules governing data usage and integration.

• Document all data flows and processes to ensure transparency and compliance.

• Manage change control and system updates.

• Manage Master Data Management (MDM), Data Change Request (DCR), Incentive Compensation (IC), and Targeting data processes.

• Conduct data analysis and maintain business rule documentation.

• Manage vendor and third-party agreements related to data acquisition and validation.

• Provide training and guidance on data processes to internal teams.

• Oversee project management aspects related to data management and implementation.

• Perform data quality control (QC) checks to ensure integrity and consistency.

This role offers an opportunity to work in a fast-paced and dynamic environment where you can influence the future of data-driven decision-making