Senior Product Manager, Pharma Analytics Products
@ HopSenior Product Manager, Pharma Analytics Products
This job is still taking applications, but it's been up a while.
About the job
A Fortune 500 healthcare firm seeks a Senior Product Manager in Pharma Analytics. Focuses on developing analytics-powered applications for pharma and life sciences, leading cross-functional teams, and mentoring junior PMs.
Requirements
- 5+ years product management
- Strong communication skills
- Collaborate with engineering teams
- Experience in pharma analytics
- Support data visualization tools
Qualifications
- Bachelor's degree or higher
- Healthcare data familiarity
- Agile methodology experience
- SQL proficiency
- Experience with Tableau
Full job description
Required Qualifications:
- 5+ years of experience in Product Management, with a strong focus on analytics or data-driven products.
- 5+ years’ experience demonstrating strong verbal and written communication skills, including the ability to translate complex data and insights into clear, compelling narratives for diverse audiences.
- 3+ years’ experience collaborating cross-functionally with engineering and data science teams to deliver impactful analytics tools.
- 3+ years’ experience in the pharmaceutical analytics domain, with a solid understanding of healthcare data and analytics workflows.
- 3+ years’ experience supporting the development of data visualization tools, with particular emphasis on Tableau.
- 3+ years’ experience working in Agile environments, using product management and delivery tools such as JIRA and Confluence.
- Experience in or with the pharmaceutical or life sciences industry, particularly supporting commercial, clinical, or market access analytics.
- Familiarity with medical and pharmacy claims data and their application in Healthcare analytics.
- Understanding of data science concepts, including predictive modeling and machine learning.
- Demonstrated proficiency in SQL.
Education
- Bachelor’s degree in a STEM field (e.g., Science, Technology, Engineering, Mathematics) is required.
- Master’s degree in Analytics, Data Science, MPH, or MBA) is preferred.
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