Group Product Manager – Clinical and Data Monitoring Technologies
Listed on 2026-02-28
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IT/Tech
Data Science Manager, Data Analyst, Data Security, Data Scientist
Overview
At CluePoints, we’re redefining how clinical trials are run. As the premier provider of Risk-Based Quality Management (RBQM) and Data Quality Oversight software, we harness advanced statistics, artificial intelligence, and machine learning to ensure the quality, accuracy, and integrity of clinical trial data, helping life sciences organizations bring safer, more effective treatments to patients faster. We’re proud to be an ambitious, fast-growing technology scale-up with a dynamic and diverse international team representing more than 20 nationalities.
Collaboration, flexibility, and continuous learning are part of our DNA. At CluePoints, you’ll find a culture where you can grow, make an impact, and have fun along the way. Guided by our values of Care, Passion, and Smart Disruption, we’re united by a shared mission: to create smarter ways to run efficient clinical trials and deliver AI-powered insights that improve human outcomes worldwide.
We’re looking for a Group Product Manager – Clinical Data & Monitoring Technologies to join our Product Management group and contribute to our mission of transforming clinical research through data-driven insights. This individual will bridge clinical data operations with product management, leveraging insights from their own experience as a data manager/central monitor to build products that improve data quality, risk-based monitoring and trial efficiency.
The GPM will serve as a player–coach—overseeing product strategy while mentoring and managing a team of product managers.
- Clinical data management / central monitoring experience (4–6 years).
- Hands-on experience designing data management plans and managing data cleaning and query resolution processes. Experience in centralized monitoring roles such as subject level data review, KRI trending and risk-based monitoring strategies.
- Familiarity with regulatory frameworks (ICH GCP), clinical trial protocols, risk-based quality management and industry data standards (e.g., CDISC).
- Proven experience analyzing complex clinical and operational data, identifying patterns and risks, and communicating findings to study teams.
- Product management experience (2–4 years).
- Experience owning the product lifecycle—from ideation and requirements gathering to release and iteration. Ability to create product roadmaps, business cases and go-to-market strategies.
- Demonstrated success working with cross-functional teams (engineering, design, marketing, sales) to deliver products in a regulated or clinical technology environment.
- Familiarity with agile methodologies, backlog management and iterative development.
- People management. Experience leading and mentoring product managers or cross-functional teams. Ability to set clear goals, provide constructive feedback and drive accountability.
- Bachelor’s or advanced degree in life sciences, statistics, computer science, public health or a related discipline.
- Deep understanding of clinical trial processes and data flows, including central monitoring, data management, biostatistics and clinical operations.
- Strong analytical and problem-solving skills; ability to interpret complex datasets, identify risks and propose data-driven solutions.
- Proficiency with clinical data systems (e.g., EDC, CTMS), analytics tools and business intelligence platforms; working knowledge of SQL, SAS or R is advantageous.
- Excellent communication skills (verbal, written and presentation). Able to tailor messages to technical and nontechnical audiences and facilitate stakeholder alignment.
- Demonstrated leadership and people management skills—coaching, performance management, conflict resolution and team motivation.
- Ability to manage multiple projects and competing priorities in a fast-paced environment.
- Cultural awareness and ability to work effectively with global teams.
- Technically savvy with keen interest and experience in AI tools.
- Familiarity with agile methodologies, backlog management and iterative development.
- Additional language skills.
- Strategy and product leadership
- Define product vision and roadmap:
Develop a cohesive product…
- Define product vision and roadmap:
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