Senior Product Manager, Pharma Analytics Products

• Gather requirements from business and clinical teams to inform product development
• Develop user stories, acceptance criteria, and detailed product specs for data science and engineering teams
• Collaborate with data engineering, data science, and design to translate requirements into actionable concepts and solutions
• Lead the design and development of backend data and analytics architecture (scalability, reliability, performance)
• Facilitate trade-off discussions among stakeholders, balancing speed, scalability, and quality
• Conduct user research and usability testing to inform product decisions and validate hypotheses
• Own technical documentation including data flow diagrams and architecture specifications
• Communicate product updates and gather feedback from business stakeholders
• Champion Agile methodologies and best practices
• Mentor and guide junior product managers
• Contribute to overall product strategy and roadmap aligned to business objectives

Required Qualifications

• 5+ years in Product Management with a focus on analytics or data-driven products
• 5+ years of strong verbal and written communication, translating data and insights into clear narratives for diverse audiences
• 3+ years collaborating cross-functionally with engineering and data science teams to deliver impactful analytics tools
• 3+ years in the pharmaceutical analytics domain, with solid understanding of healthcare data and analytics workflows
• 3+ years supporting the development of data visualization tools, particularly Tableau
• 3+ years working in Agile environments using JIRA and Confluence

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.

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.

Preferred Qualifications

• Experience supporting commercial, clinical, or market access analytics in pharma / life sciences
• Familiarity with medical and pharmacy claims data and their use in healthcare analytics
• Understanding of data science concepts including predictive modeling and machine learning
• Demonstrated proficiency in SQL

Preferred Qualifications

• 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.