In this exciting role as a Senior Quality Systems Manager, you will have responsibility for QMS Data Analytics, Data Reporting and managing multiple Digital based improvement initiatives within the Quality Transformation organization that will systematically evaluate and transform the capability of the Quality Management System (QMS) to better meet the needs of its stakeholders, both internal and external. Quality Data steward, supporting Data analysis and reporting methodologies Leading a team of Data analysts to support specific analysis where needed to perform advanced data analysis, dashboarding, and reporting in support of quality improvement goals Defining, implementing, and sustaining transformation initiatives within the Diabetes Quality Improvement Program Aligning Transformation projects with the Digital quality roadmap and providing input to the roadmap on process digitalization opportunities e.g. automation, application of AI Technologies Apply AI and machine learning concepts to real-world quality problems (e.g., anomaly detection, predictive quality, NLP for unstructured data) in partnership with data science and digital teams Partnering with the Digital Technology team to ensure alignment on roadmap, technology availability and project planning Guides the architecture, governance, and measurement of the program. Collaborate closely with the Digital Technology team and IT architects to align on system architecture, integration points, and implementation timelines Partners with key stakeholders to lead quality initiatives that develop and maintain a high performing, scalable, and compliant Quality System Interprets government regulations, agency guidelines, and internal policies to assure compliance. within digital transformation efforts Establishes and implements meaningful metrics, ensuring data integrity and meaningful insights for leadership Prepares quality reports and leadership communications Lead the development of user and technical requirements to support digital quality initiatives, including automation, analytics, and AI-based applications. Act as the technical product owner for digital quality initiatives-translating business needs into functional and system-level specifications Planning, resourcing, providing status for, resolving issues, and identifying project risks for multiple work streams
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Job Type
Full-time
Career Level
Mid Level
Industry
Professional, Scientific, and Technical Services
Number of Employees
5,001-10,000 employees