Senior Manager, Field Force Analytics & Operations

As a Senior Manager, Field Force Analytics & Operations at Corcept, the responsibilities encompass a broad range of strategic planning, actionable insights generation, and performance monitoring. You will lead the development of data-driven insights to shape field force strategy in our oncology division, define key performance indicators (KPIs), and integrate insights from various data sources. Your role also involves managing territory alignment, optimizing CRM tools like Veeva, and ensuring compliance with regulatory standards to enhance field operations.

To qualify for the Senior Manager, Field Force Analytics & Operations position at Corcept, candidates must have a Bachelor’s degree and at least 5 years of relevant experience in sales analytics or sales operations, ideally within the biopharmaceutical industry. Proficiency in data sources such as IQVIA and familiarity with business intelligence tools like Tableau or PowerBI are essential, as well as proven skills in translating complex insights into actionable recommendations.

The impact of the Senior Manager, Field Force Analytics & Operations role at Corcept is significant. You will be instrumental in shaping the strategic direction of our field operations within the oncology division, ensuring that our sales and medical teams have the insights they need to succeed. By implementing predictive modeling and enhancing CRM processes, you will play a key role in improving operational efficiency and ultimately contributing to our mission of developing novel treatments for patients with unmet medical needs.

Corcept is committed to the professional growth of its employees, including the Senior Manager, Field Force Analytics & Operations. You will have opportunities to stay updated with the latest advancements in data analytics and AI/ML, participate in cross-functional training sessions, and collaborate with experienced stakeholders. Furthermore, the culture at Corcept promotes continuous improvement and the exchange of best practices, supporting your ongoing career development.

The Senior Manager, Field Force Analytics & Operations at Corcept will work with a variety of advanced technologies and platforms. This includes CRM tools like Veeva, business intelligence tools such as Tableau and PowerBI, and various data sources like IQVIA and Symphony. In addition, you'll be involved in implementing AI and machine learning techniques for predictive analytics, all aimed at enhancing business intelligence and field operations.

In response to this question, highlight specific examples from your previous work where you've successfully utilized data to inform business strategies. Discuss the types of data you analyzed, the insights you generated, and how those insights led to measurable outcomes in sales operations.

When answering this, emphasize your strategic thinking in defining KPIs that are aligned with overall business objectives. Explain your methodology for selecting relevant metrics, how you ensure they are actionable, and provide examples of KPIs you've developed and their impact on team performance.

Illustrate your collaborative approach by discussing how you work with cross-functional teams, share insights, and gather data. Give examples of how teamwork has enhanced the effectiveness of the analytics you developed and led to improved operational outcomes.

To address this question, explain your process for translating complex insights into straightforward recommendations. Discuss how you communicate these insights to different stakeholders, ensuring they are relevant and easy to implement.

Offer a detailed example of a CRM-related project, including the problem you aimed to solve, the tools you utilized, and the results achieved. Highlight your role in the project and how it impacted sales operations positively.

Discuss your proactive approach in monitoring industry news, attending seminars, or engaging in relevant training. Mention specific resources or communities you follow which keep you informed about the latest advancements in analytics and technology.

In your answer, focus on your problem-solving skills and adaptability. Provide an example of a challenge faced during such a process, explain how you navigated it, and what you learned from the experience that could benefit future projects.

Share specific examples where you've utilized machine learning techniques, such as predictive modeling, to drive business results. Discuss the methodologies used and the impact of these techniques on field strategies or operational improvements.

Discuss the importance of communication and setting clear expectations with stakeholders. Provide an example where you successfully managed differing expectations and how your insights ultimately aligned with business objectives.

Outline the measures you incorporate to uphold compliance and ethics in your analytical work. Discuss your understanding of relevant regulations and your approach to maintaining data integrity and ethical standards in your analyses.