Position Summary Act as a technical expert in healthcare quality and regulatory analytics. Combine advanced quantitative analysis, data engineering, and quality system expertise to build stakeholder-specific reporting, develop AI-enabled quality tools, and integrate/manage third-party quality applications to support compliance, continuous improvement, and executive decision-making. Key Responsibilities (Primary) Perform advanced quantitative data analysis: build statistical and machine learning models for trend detection, root-cause analysis, forecasting, anomaly detection, and risk stratification Design, build, and maintain stakeholder-specific dashboards and reports (executive, regulatory) using Power BI tools and data visualization best practices; deliver actionable insights and data storytelling. Develop and maintain quality tools and automations using AI/ML/LLM technologies (NLP for document classification/summarization, automated quality checks, predictive analytics, chat assistants for SOP/QMS guidance). Lead integration and lifecycle management of third-party quality software: requirements gathering, vendor coordination, configuration, data integration, testing, release coordination, and ongoing support. Utilize current and emerging technologies in evaluating trends to business models and healthcare quality processes Develop insights and translate information into actionable initiatives to ensure business outcomes Lead and support projects through the application of technical expertise including conceptualization, planning, design, implementation and support of quality assurance processes, systems, and quality technology solutions Evaluate and monitor healthcare quality processes and systems to identify areas for continuous improvement and transformation ensuring global excellence Initiate and lead the development of reports for key stakeholders, including executive management, using data storytelling and visualization Develop and execute tools to enhance services and deliver training for internal customers or vendors on analytics outputs, tools, and integrated systems Gather and consolidate regulatory and business requirements and convert them into technical specifications and implement monitoring to ensure ongoing compliance with company’s internal policies and relevant regional and local regulations Develop and maintain data validation, models, and metadata; routinely assess model performance and recalibrate as required Lead end-to-end analytics projects: planning, stakeholder alignment, implementation, and post-implementation reviews; document methods and SOPs Support audit readiness and provide analytics-driven evidence for regulatory submissions, inspections, and internal quality reviews Identify opportunities for process improvement and automation in quality workflows, pilot new technologies and scale successful solutions Additional Responsibilities (as needed) Provide subject-matter expertise for cross-functional programs and global initiatives Manage vendor relationships and service-level expectations for third-party tools Participate in career progression and mentoring for junior analysts Required Skills and Experience Bachelor’s degree in Statistics, Data Science, Biostatistics, Engineering, Computer Science, Information Technology, Healthcare Analytics, or related field (or equivalent experience) Strong quantitative and statistical skills; proficiency in data science libraries and tools Experience building dashboards and visualizations with tools such as Power BI, Tableau, Looker, or equivalent Hands‑on experience integrating and managing third‑party quality/GxP systems (MasterControl, Synthesis, ServiceNow) or similar QMS/issue tracking platforms Experience working with cloud platforms, databases (SQL, NoSQL), ETL tools, and APIs Practical experience applying AI/ML and prompt engineering for LLMs to automate quality processes, extract insights from unstructured documents, or create assistant workflows Strong data validation, data modeling, and data governance understanding Excellent communication and data storytelling skills; able to translate technical findings into concise recommendations for executives Experience in a regulated environment (healthcare, life sciences, medical devices, or similar) strongly preferred Demonstrated ability to work cross‑functionally and manage vendor/IT relationships Preferred Certifications in data analytics, machine learning, or quality management Prior experience with global operations or multi‑regional regulatory frameworks Level Expectations and Experience Guidelines 3-4 years relevant experience; independently manages projects and provides expert input, recognized expert, leads complex programs with high autonomy. Core Competencies Analytical thinking, accuracy, attention to detail, numerical skills Planning and organizing, project management, stakeholder alignment Statistical knowledge, data modeling, visualization skills, automation Vendor and cross‑functional collaboration, training and documentation abilities Technical Requirements Proficiency with Microsoft Office and web-based applications Familiarity with automation and orchestration tools; experience deploying AI/ML models into production Language: strong written and spoken English Compliance and Other Ensure ongoing compliance with company processes, regional/local legislation, and external regulations May be required to perform other duties as assigned; role can involve regional and global activities Working Hours Mon to Fri 9am - 6pm (1 day hybrid) #J-18808-Ljbffr