We anticipate the application window for this opening will close on - 27 Apr 2026

 

At Medtronic you can begin a life-long career of exploration and innovation, while helping champion healthcare access and equity for all. You’ll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world.

A Day in the Life

The Cardiovascular portfolio delivers innovative therapies and technologies to diagnose, treat, and manage cardiovascular disease. It spans solutions for coronary and peripheral artery disease, structural heart and aortic conditions, cardiac rhythm management, and hemodynamic monitoring. The portfolio focuses on improving clinical outcomes, enabling less invasive care, and supporting physicians and health systems with integrated, evidence‑based solutions that enhance patient care and procedural efficiency.

At Medtronic, we bring bold ideas forward with speed and decisiveness to put patients first in everything we do. In-person exchanges are invaluable to our work. We’re working a minimum of 4 days a week onsite as part of our commitment to fostering a culture of professional growth and cross-functional collaboration as we work together to engineer the extraordinary. 

This position will be based in Mounds View, MN or Maastricht, Limburg, Netherlands.

The Manager, Clinical Data Quality leads a team responsible for ensuring high‑quality, reliable clinical study data across a global clinical research portfolio, including Cardiac Rhythm Management, Cardiac Ablation Solutions, and Post Approval Surveillance.  This role provides people leadership and operational oversight of clinical data quality activities, partnering closely with Clinical Operations, Data Management, Safety, Field Clinical teams, and Study Leadership to proactively monitor data quality, guide query resolution, and ensure studies proactive data quality monitoring, effective query resolution, and ongoing inspection and milestone‑readiness.  In addition to managing day‑to‑day execution, this role is responsible for advancing scalable, forward‑looking data quality practices through the use of analytics, reporting, and process optimization to support timely database snapshots, locks, and study outcomes.

Responsibilities may include the following and other duties may be assigned.

People Leadership and Team Management

• Directly manage, coach, and develop a team of Field Clinical Data Specialists and/or experienced clinical data professionals.
• Set clear performance expectations, conduct regular 1:1s, provide feedback, and support career development and engagement.
• Prioritize team workload across multiple studies and geographies to ensure consistent, high‑quality execution.
• Oversee resource planning and allocation across studies, ensuring balanced workloads, clear prioritization, and alignment with portfolio needs and timelines.
• Foster an inclusive, collaborative, and results‑oriented team culture.
• Act as a trusted advisor on data quality strategy, risk areas, and operational best practices

Clinical Data Operations and Quality Oversight

• Ensure the team proactively monitors data quality trends, performance metrics, and risk indicators, and that appropriate corrective and preventive actions are identified and implemented in collaboration with study teams.
• Establish expectations, tools, and processes that enable effective execution of query management, data cleaning, non‑CRF data review, and issue escalation.
• Governance mindset, ensuring consistent practices across geographies and study types/portfolio‑level visibility
• Review escalations, synthesize insights from the team, and guide prioritization of actions to maintain study readiness for key milestones such as snapshots, database locks, and inspections.
• Serve as an escalation point for complex or cross‑study data quality challenges requiring leadership judgment and cross‑functional coordination.

Analytics, Reporting, and Continuous Improvement

• Enable and champion the use of analytics, reporting, and automation by the team to support scalable data quality monitoring and operational efficiency.
• Expand the use of dashboards, visualizations, and metrics to deliver actionable, scalable insights across studies and portfolios.
• Think strategically about how to scale data quality capabilities as the portfolio grows and study complexity increases.

Must Have; Minimum Requirements

To be considered for this role, please ensure the minimum requirements are evident in your applicant profile.

• Bachelor’s degree in clinical, biomedical, technical, or scientific discipline
• Minimum of 5 years of clinical research experience,