Healthcare Quality & Regulatory Automation Analyst

Responsibilities

• ● 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.
• ● 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 into 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.