Sr Project Manager, QMS Measurement Systems

Changing lives. Building Careers.

Joining us is a chance to do important work that creates change and shapes the future of healthcare. Thinking differently is what we do best. To us change equals opportunity. Every day our colleagues are challenging whats possible and making headway to innovate new treatment pathways to advance patient outcomes and set new standards of care.

The Digital Project Manager will be responsible for leading the design deployment and continuous improvement of enterprise measurement systems supporting Quality Management System (QMS) performance and operational excellence. This role bridges business quality analytics and IT functions to deliver scalable validated and decision-ready digital solutions. Success is measured through improved data integrity standardized global reporting actionable trending and demonstrable business value (e.g. efficiency risk reduction and decision speed).

• Lead the development and operationalization of enterprise measurement systems across QMS domains including CAPAs Nonconformances Complaints Audits and other regulated quality elements.
• Translate end-to-end quality processes and lifecycle logic into standardized metrics KPIs and analytical frameworks that are auditable traceable and decision-relevant.
• Ensure consistent interpretation of quality data across sites by aligning definitions hierarchies and governance standards.
• Design develop and maintain advanced Power BI dashboards and applications serving both operational and executive audiences.
• Build robust data models measures and calculated logic to support trending benchmarking and early-warning indicators.
• Automate repeatable reporting workflows and enable near real-time visibility into quality performance and risk signals.
• Apply statistical and analytical methods (e.g. control charts rate-based trending variance analysis) to monitor stability detect signals and support proactive decision-making.
• Utilize R for statistical trending exploratory analysis and validation of quality metrics and performance indicators.
• Leverage Python selectively for data preparation exploratory analytics or proof-of-concept predictive use cases where appropriate.
• Partner closely with IT data engineering and system owners to ensure reliable data pipelines secure architectures and scalable solutions.
• Collaborate with manufacturing sites quality leaders and functional SMEs to gather requirements validate outputs and drive adoption.
• Act as a liaison between technical teams and business stakeholders ensuring solutions meet both regulatory and operational expectations.
• Own all phases of the digital project lifecycle from ideation and requirements definition through deployment adoption and value realization.
• Develop and manage project plans timelines risks and dependencies providing clear status reporting to stakeholders.
• Apply structured change-management practices to drive user adoption training and sustained utilization of digital solutions.
• Identify high-value opportunities for process optimization advanced analytics and automation.
• Develop proofs-of-concept leveraging data science AI or machine-learning techniques to address emerging business needs.
• Lead and cultivate a user community focused on digital enablement analytics literacy and continuous improvement.

Qualifications:

• Bachelors degree in Engineering Computer Science Data Analytics or a related technical field.
• 5 years of experience in digital project management measurement systems analytics or performance excellence roles.
• Advanced proficiency in Power BI including data modeling DAX and dashboard/application design.
• Working knowledge of QMS processes and regulated environments (e.g. CAPAs NCs Complaints).
• Experience using R for statistical analysis and trending; familiarity with Python for analytics or automation is a plus.
• Proven ability to partner with IT and cross-functional teams to deliver scalable compliant digital solutions.
• Strong communication skills with the ability to influence without authority and translate technical concepts for non-technical audiences.
• Demonstrated experience building ROI-driven business cases and value-based use cases.

Salary Pay Range:

Our salary ranges are determined by role level and location. Individual pay is determined by several factors including job-related skills experience and relevant education or training. In addition to base pay employees may be eligible for bonus commission equity or other variable compensation. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Additional Description for Pay Transparency:

Subject to the terms of their respective plans employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical dental vision life insurance short- and long-term disability business accident insurance and group legal insurance and savings plan (401(k)).

Subject to the terms of their respective policies and date of hire Employees are eligible for the following LifeSciences is an equal opportunity employer and is committed to providing equal employment opportunities to all qualified applicants and employees regardless of race marital status color religion sex age national origin sexual orientation physical or mental disability or protected veteran status.

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