Director, Life Sciences Analytics and Solutions

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Summary In this role, you will provide technical and analytical leadership in designing, developing, and scaling advanced healthcare analytics solutions supporting Vizient’s life sciences consulting, research, and data product offerings. You will combine deep expertise in large-scale healthcare claims data, advanced analytical methodologies, and modern data platforms to address complex business challenges and expand Vizient’s analytical capabilities. You will lead the development of sophisticated analytical solutions ranging from client-specific consulting engagements to recurring data deliveries and scalable analytical models, including longitudinal patient journey analyses, patient and provider segmentation, integration of new data sources, and reusable analytical assets.

You will improve the accessibility, efficiency, and utility of Vizient’s data assets by transforming fragmented datasets into streamlined analytical frameworks and partnering across consulting, data science, engineering, and product teams. You will apply exceptional technical expertise, healthcare domain knowledge, and independent problem-solving to transform complex analytical work into repeatable and scalable solutions.

Responsibilities Lead the design, development, and execution of complex analytical solutions using large-scale administrative claims, clinical, and other healthcare datasets.

Develop longitudinal patient journey analyses, disease and treatment progression models, patient and provider segmentation methodologies, cohort identification frameworks, patient attribution, risk adjustment, and statistical models.

Translate complex business and client requirements into validated, reusable datasets, analytical models, and methodologies suitable for research, consulting engagements, dashboards, applications, and client-facing products.

Lead the transformation and optimization of large healthcare datasets using Databricks and related platforms, consolidating fragmented data into streamlined and reusable analytical models.

Design and optimize complex SQL, Python, and Spark workflows supporting large-scale claims processing, longitudinal research, advanced analytics, and standardized patient-, encounter-, provider-, and organization-level datasets.

Establish practical standards for analytical documentation, data lineage, table grain, join keys, data quality, testing, validation, version control, refresh cadence, reproducibility, and appropriate-use limitations.

Transform complex consulting engagements into repeatable methodologies, standardized workflows, automated recurring deliveries, and reusable analytical assets that can be incorporated into Vizient tools, products, and client solutions.

Partner with consulting, product, engineering, data science, and technology teams to integrate new data sources, improve processing and delivery efficiency, operationalize analytical prototypes, and expand scalable analytics capabilities.

Serve as a trusted technical and healthcare data subject matter expert, providing guidance on claims structures, coding systems, patient populations, utilization patterns, longitudinal analyses, data-use limitations, and interpretation of analytical findings.

Independently lead concurrent technical work streams from feasibility and solution design through…