Product Manager

Overview

Remote
USD 101250-135000
Full Time

Skills

Product Management
Life Sciences
Pharmaceutical Industry

Job Details

Product Manager

Salary: $101,250-$135,000

Benefits include:

  • Paid vacation, holiday and sick time
  • Medical, dental, and vision insurance options
  • 401(k)/profit sharing

Overview:

Our client is seeking a Senior Product Manager with a strong background in software development and a deep appreciation for the clinical trial lifecycle. The ideal candidate will have experience with critical data, data management processes, and GxP-compliant systems, and will play a key role in driving the integration of Risk-Based Quality Management (RBQM) capabilities across the client's clinical data platforms.

Key Responsibilities:

  • Lead the product vision, strategy, and roadmap for clinical and data-driven solutions, with a focus on RBQM integration.
  • Translate business and regulatory needs into clear product requirements focused on critical-to-quality processes, risk monitoring, and data oversight.
  • Partner with engineering, data science, clinical operations, and QA teams to deliver compliant, scalable solutions.
  • Drive development and integration of RBQM components such as risk assessment tools, KRIs/QTLs, and centralized monitoring workflows.
  • Ensure alignment with regulatory guidelines (e.g., ICH E6(R2), 21 CFR Part 11) while optimizing user experience and operational efficiency.
  • Collaborate with internal and external stakeholders to define KPIs and drive adoption and continuous improvement of the client's clinical platforms.

Qualifications:

  • 8+ years of experience in product management, with prior hands-on experience in software development.
  • Experience in clinical trials, data platforms, or life sciences technology is highly preferred.
  • Strong understanding of data lifecycle, critical data elements, RBQM principles, and GxP compliance.
  • Demonstrated ability to deliver integrated, data-driven products that support clinical operations and oversight.
  • Excellent cross-functional collaboration, stakeholder management, and communication skills.

Nice to Have:

  • Experience with platforms such as EDC, CTMS, RBQM, central monitoring, or analytics dashboards.
  • Familiarity with AI/ML, data lakes, or modern data architectures in a regulated environment.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.