Advanced Analytics Director, Strategy & Transformation

Remote: 
Full Remote
Contract: 
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Offer summary

Qualifications:

Master’s degree in Data Science, Computer Science, Engineering, Health Informatics, or related field preferred., 7+ years of experience in a data science or advanced analytics role within healthcare, focusing on CV/PPI., Proficient in tools like Power BI, Tableau, Python, R, and SQL for analytics solutions., Strong communication and leadership skills, with experience mentoring and translating insights for diverse audiences..

Key responsabilities:

  • Lead the design and deployment of scalable analytics solutions to optimize CV/PPI category management strategies.
  • Translate complex clinical and business challenges into actionable machine learning and statistical modeling frameworks.
  • Drive transformation of workflows into tech-enabled solutions, serving as the analytics lead for the CV/PPI team.
  • Oversee data integration and model development using diverse datasets, while mentoring team members in technical execution.

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Vizient, Inc Large https://www.vizientinc.com/
1001 - 5000 Employees
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Job description

When you’re the best, we’re the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

Summary:

In this role, you will design, develop, and lead the deployment of high-impact, data-driven solutions and automated analytics products that transform how Vizient’s Cardiovascular (CV)/Physician Preference Items (PPI) Category Management team delivers value to clients. You will serve as both a technical expert and strategic thought partner, leveraging advanced analytics, AI, and automation to drive scalable innovation and performance optimization across clinical, operational, and economic domains. Collaborating closely with cross-functional teams, you will define and implement advanced analytic strategies, build infrastructure for strategic data enablement, and lead the next era of data-powered category management that shapes the future of CV/PPI solutions.

Responsibilities:

  • Lead the design and deployment of scalable analytics solutions—including dashboards, predictive models, and automation pipelines—to optimize CV/PPI category management strategies and client outcomes.

  • Translate complex clinical and business challenges into actionable machine learning and statistical modeling frameworks that drive innovation and insight.

  • Define and align analytics strategies with organizational objectives by partnering cross-functionally to support clinical, operational, and financial performance.

  • Drive transformation of traditional workflows into tech-enabled, scalable solutions, serving as the analytics and automation lead for the CV/PPI team.

  • Develop and maintain production-ready codebases in Python, R, SQL, and other relevant languages, ensuring reliability, scalability, and reproducibility.

  • Leverage modern data platforms (e.g., Azure DataBricks, Apache Spark, Tableau, Power BI) to manage data workflows, deliver real-time dashboards, and support decision-making.

  • Build and integrate AI and NLP models into frontline workflows to support consultants and stakeholders with real-time, actionable insights.

  • Oversee data integration and model development using diverse clinical, procedural, financial, and supply chain datasets.

  • Provide leadership in technical execution, including architecture, code reviews, and best practices, while mentoring team members.

  • Identify and advance opportunities for cross-domain collaboration, standardization, and innovation in analytics adoption across business units.

Qualifications:

  • Relevant degree preferred. Master’s degree in Data Science, Computer Science, Engineering, Health Informatics, or related field is a plus.

  • 7 or more years of relevant experience in a data science or advanced analytics role within healthcare required, preferably with a focus in CV/PPI.

  • Experience working with healthcare data sources (e.g., claims, EHR, procedural, or supply chain) to inform clinical, operational, or financial strategies.

  • Familiarity with hospital operations, supply chain, or category management in a healthcare setting.

  • Proven ability to lead analytics initiatives, drive process improvement, and guide organizational transformation.

  • Skilled in using tools such as Power BI, Tableau, Python, R, or SQL to develop insights and support scalable analytics solutions.

  • Experience working in cloud-based environments like Microsoft Azure and leveraging modern data platforms to support decision-making.

  • Strong communication and leadership skills, with the ability to mentor others and translate complex insights for executive and non-technical audiences.

  • Willingness to travel.

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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.

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Mentorship
  • Communication
  • Leadership

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