Temporary/CasualHealthcare

Senior Product Manager, Pharma Analytics Products

HophrNew York City🇺🇸United States

Quick overview

Salary$106.6k - $284.3k/yr

SeniorityMid Senior

Employment typeTemporary/Casual

Work modeHybrid

LocationNew York City, United States

ConfluencePharmacyJiraAgileData Analysis

Job description

Our client, a Fortune 500 healthcare company, is hiring a Senior Product Manager within their Analytics & Behavior Change (A&BC) organization. You will lead the end-to-end development and launch of analytics-powered applications tailored for pharmaceutical and life science customers. The role requires strong product management chops, fluency in data analytics and healthcare data, and the ability to bridge technical and business perspectives. You will collaborate with business, data engineering, data science, and design teams to ship innovative analytics products — and mentor junior PMs along the way.

Key Responsibilities:

• 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

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

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.

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.

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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