Director, Life Sciences Analytics and Solutions

Vizient•Centennial, CO

About The Position

Provide technical and analytical leadership in designing, developing, and scaling advanced healthcare analytics solutions that support Vizient’s life sciences consulting, research, and data product offerings. The role combines expertise in large-scale healthcare claims data, advanced analytical methodologies, and modern data platforms to address complex business challenges and expand analytical capabilities. Lead the development of sophisticated solutions, from client-specific consulting engagements to recurring data deliveries and scalable analytical models. Work includes longitudinal patient journey analyses, patient and provider segmentation, integration of new data sources, and development of reusable analytical assets. Improve the accessibility, efficiency, and utility of data assets by transforming fragmented datasets into streamlined analytical frameworks and partnering across consulting, data science, engineering, and product teams. Apply technical expertise, healthcare domain knowledge, and independent problem-solving to turn complex analytical work into repeatable, scalable solutions.

Requirements

At least 7 years of related experience working with large-scale healthcare data, including administrative claims, clinical, or other longitudinal healthcare datasets.
Advanced experience developing healthcare analytics using SQL and Python.
Experience using Spark and Databricks or comparable large-scale data processing platforms.
Demonstrated experience developing longitudinal patient analyses, cohort methodologies, patient or provider segmentation, attribution methodologies, risk adjustment, statistical modeling, or similar advanced healthcare analytics.
Strong understanding of healthcare claims structures, coding systems, patient populations, utilization patterns, and the strengths and limitations of healthcare data.
Experience transforming complex or fragmented datasets into standardized, reusable analytical models and assets.
Strong analytical problem-solving skills and ability to independently navigate incomplete data, ambiguous requirements, methodological limitations, and complex business questions.
Strong communication and consulting skills, including the ability to explain sophisticated analytical work.
Relevant bachelor’s degree preferred.

Nice To Haves

Advanced degree in analytics, statistics, data science, epidemiology, health economics, computer science, healthcare informatics, or a related field.
Demonstrated ability to convert custom analytical work into repeatable, automated, and scalable methodologies or solutions.
Experience partnering across consulting, product, engineering, data science, technology, or similar cross-functional teams to deliver analytical 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 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, reusable analytical models.
Design and optimize complex SQL, Python, and Spark workflows for 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.
Turn complex consulting engagements into repeatable methodologies, standardized workflows, automated recurring deliveries, and reusable analytical assets for 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 technical and healthcare data subject matter expert, guiding others on claims structures, coding systems, patient populations, utilization patterns, longitudinal analyses, data-use limitations, and interpretation of analytical findings.
Independently lead concurrent technical workstreams from feasibility and solution design through development, validation, and delivery.
Communicate risks and dependencies, engage internal and external stakeholders, mentor colleagues, and influence analytical standards across teams.