Norstella is a company dedicated to improving patient access by uniting market-leading organizations. The Product Manager role focuses on the development and go-to-market support of Norstella’s LinQ Real World Data offerings, emphasizing revenue development and internal tool optimization.
Responsibilities:
- Product Development: Oversee the entire product lifecycle, from ideation through development, launch, and post-launch evaluation
- User Experience: Define and optimize the user experience based on user feedback and real-world data
- Prioritization Skills: Prioritize initiatives based on business value, customer feedback, and resource availability to ensure alignment with overall strategy
- Queue Management: Effectively manage a backlog of tasks and features, ensuring the team can identify and address the most impactful work
- Work Ticket Development: Create and manage work tickets within Agile frameworks, collaborating with cross-functional teams to clarify requirements and ensure timely delivery
- Data Analysis and Interpretation: Analyze real-world data to extract actionable insights for product strategy and development
- Stakeholder Collaboration: Work closely with clinical teams, data scientists, and IT departments to ensure that the product addresses real-world needs
- Market Research: Conduct market research to understand user needs and competitor offerings related to real-world evidence
- Regulatory Compliance: Ensure that product offerings comply with regulatory standards and guidelines associated with health data
- Communication: Prepare reports and presentations to communicate findings and product strategies to stakeholders
Requirements:
- Deep understanding of claims data, lab data, and Electronic Health Records (EHR) data, including their collection, usage, and its business uses
- A degree in a relevant field such as life sciences, healthcare, or data analytics; an advanced degree is often preferred
- Several years of experience in product management, specifically in health tech or related fields involving real-world data
- Proficiency in data analysis tools and languages (e.g., SQL, Python) and experience with data visualization software
- Familiarity with regulations pertaining to health data usage and management
- Strong project management skills, with the ability to manage multiple stakeholders and projects simultaneously