Manager, Biopharma Commercial Data Operations

As the Manager, Biopharma Commercial Data Operations at Nuvalent, you'll oversee the collection, integration, and governance of commercial and sales data. Your role involves acting as the primary data steward, ensuring data integrity and quality while managing data flows between systems like Salesforce/Veeva and third-party providers. You will also develop dashboards and reports that track key commercial metrics, support forecasting and targeting efforts, and collaborate with various teams to deliver insights that drive business growth.

Candidates for the Manager, Biopharma Commercial Data Operations position at Nuvalent should possess at least 3 years of experience in data operations, commercial analytics, or sales operations within the biotech, pharma, or oncology sectors. Strong familiarity with CRM systems such as Salesforce and Veeva, along with experience using reporting tools like Tableau or Power BI, is essential. A Bachelor’s degree in Business, Data Science, Analytics, or a related field is required, while an MBA or advanced degree is preferred.

In the Manager, Biopharma Commercial Data Operations role at Nuvalent, you will be the internal data steward responsible for maintaining data integrity and quality across commercial operations. This involves cleaning and integrating data from multiple sources while developing processes to manage data governance effectively. You will ensure compliance with industry regulations and company policies, ultimately supporting seamless operations across various departments.

The Manager, Biopharma Commercial Data Operations at Nuvalent should have expertise in CRM systems, particularly Salesforce and Veeva. Familiarity with data warehouses, reporting tools like Tableau and Power BI, and SQL is also essential. Understanding third-party oncology data sources such as IQVIA and Symphony Health will further enhance the effectiveness of the role in managing and integrating data for commercial strategies.

To succeed as the Manager, Biopharma Commercial Data Operations at Nuvalent, you need robust commercial acumen, particularly in oncology biotech. Cross-functional collaboration skills are vital to work effectively with Sales Operations, Market Access, and IT. Strong problem-solving and project management capabilities will help you address data discrepancies and optimize workflows. Lastly, effective communication skills are essential to convey complex data insights to non-technical stakeholders.

When answering this question, provide specific examples of your experiences with CRM systems, detailing the functionalities you used and how they benefited the operations. Highlight how you ensured data integrity and optimized workflows using these systems.

Discuss your systematic approach to data quality management, including methods for data cleaning, validation, and governance practices you've implemented in previous roles. Speak to any specific experiences in compliance with industry standards.

Use the STAR method (Situation, Task, Action, Result) to illustrate a specific instance in which you identified a data issue, your process for resolving it, and the positive outcome that resulted from your actions.

Share the project management frameworks you’re familiar with and provide examples of how these frameworks helped you prioritize tasks effectively, meet deadlines, and deliver successful results for multiple initiatives.

Discuss your experience in fostering collaboration amongst various departments, providing examples of successful projects and how leveraging different expertise led to better outcomes for commercial objectives.

List the analytical tools you are familiar with, such as Tableau, SQL, or Power BI, and give specific examples of how you have used these tools to generate insights or improve data workflows in previous roles.

Explain your strategy for breaking down complex data concepts into understandable terms. Share specific methods you've used, such as visual aids or storytelling, to ensure non-technical teams can grasp and act upon your data insights.

Detail the methodologies you have utilized for data integration, including any specific tools or platforms. Explain how you ensured seamless data flow between systems while maintaining data quality and compatibility.

Provide insights into your experiences related to data governance, including policies you developed or enforced to ensure compliance and data quality, and how they positively impacted the organization.

Discuss your perspective on the challenges in the industry, such as data privacy regulations, the rapid evolution of data sources, or integration issues. Share solutions or proactive measures you have taken to address these challenges.