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.

The Role

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).

1. 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.
2. Familiarity with regulatory frameworks (ICH GCP), clinical trial protocols, risk based quality management and industry data standards (e.g., CDISC).
3. Proven experience analyzing complex clinical and operational data, identify patterns and risks, and communicate findings to study teams.

• Product management experience (2–4 years).

1. Experience owning the product lifecycle—from ideation and requirements gathering to release and iteration. Able to create product roadmaps, business cases and go to market strategies.
2. Demonstrated success working with cross functional teams (engineering, design, marketing, sales) to deliver products in a regulated or clinical technology environment.
3. Familiarity with agile methodologies, backlog management and iterative development.

• People management.

1. Experience leading and mentoring product managers or cross functional teams. Ability to set clear goals, provide constructive feedback and drive accountability.

Skills and qualifications

• 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 on AI tools.

Nice to Have

• 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 strategy that aligns with business goals and customer needs. Communicate the roadmap to senior leadership and stakeholders, set measurable goals and monitor progress.
• Stakeholder engagement: Build relationships with internal and external stakeholders, including clinical data managers, central monitors, statisticians, investigators, IT and commercial teams. Gather feedback, manage expectations and ensure products meet regulatory and operational needs.
• Mentorship and team management: Lead, coach and inspire a team of product managers. Provide regular feedback, set clear objectives and foster a culture of accountability and continuous learning. Act as a "player/coach"—balancing hands-on product work with people management responsibilities.

Product development & execution

• Translate domain expertise into product design: Use your understanding of clinical data management and centralized monitoring to oversee the design of solutions that streamline data capture, cleaning and risk-based oversight. Key knowledge areas include deep understanding of electronic data capture (EDC) systems, case report form (CRF) design, data cleaning workflows, subject level data review, key risk indicator (KRI) dashboards and analytics among others.
• Ensure data quality and compliance: Incorporate regulatory requirements (e.g., ICH, GCP, CDISC standards) into product features. Design tools that support risk-based monitoring strategies, patient safety and early detection of data quality issues.
• Conduct user research and validation: Work closely with clinical data managers, monitors and study teams to gather requirements, test prototypes and iterate products. Facilitate workshops to refine features and workflows.
• Analyze product performance: Establish key performance indicators (KPIs) to enable analytics to track adoption and test hypothesis. Use findings to prioritize enhancements and influence strategic decisions.

Cross functional collaboration

• Partner with engineering and design: Provide domain context and clarify acceptance criteria and use cases.

Communicate across the organization: Report progress, risks and product value to executive leadership and cross functional partners. Represent the voice of the customer and advocate for user centered solutions