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 workstreams from feasibility and solution design through development, validation, and delivery, while communicating risks and dependencies, engaging internal and external stakeholders, mentoring colleagues, and influencing analytical standards across teams.

Qualifications

- Relevant bachelor’s degree preferred. Advanced degree in analytics, statistics, data science, epidemiology, health economics, computer science, healthcare informatics, or a related field is a plus.
- 7 or more years of related experience working with  large-scale healthcare data, including administrative claims, clinical, or other longitudinal healthcare datasets required.
- Advanced experience developing healthcare analytics using SQL and Python, with experience using Spark and Databricks or comparable large-scale data processing platforms required.
- Demonstrated experience developing longitudinal patient analyses, cohort methodologies, patient or provider segmentation, attribution methodologies, risk adjustment, statistical modeling, or similar advanced healthcare analytics required.
- Strong understanding of healthcare claims structures, coding systems, patient populations, utilization patterns, and the strengths and limitations of healthcare data required.
- Experience transforming complex or fragmented datasets into standardized, reusable analytical models and assets required.
- Demonstrated ability to convert custom analytical work into repeatable, automated, and scalable methodologies or solutions preferred.
- Experience partnering across consulting, product, engineering, data science, technology, or similar cross-functional teams to deliver analytical solutions preferred.
- Strong analytical problem-solving skills with the ability to navigate incomplete data, ambiguous requirements, methodological limitations, and complex business questions independently.

Strong communication and consulting skills, including the ability to explain sophisticated analytical

Estimated Hiring Range:
At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $117,600.00 to $206,000.00.

This position is also incentive eligible.

Vizient has a comprehensive benefits plan! Please view our benefits here:

http://www.vizientinc.com/about-us/careers

Equal Opportunity Employer:   Females/Minorities/Veterans/Individuals with Disabilities

The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.