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 into convert them into technical specifications and implement monitoring to ensure ongoing compliance with companyâs 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 aâând 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 )
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