Senior Director, Indirect Spend Data & Analytics

Vizient; Chicago (IL); On-site; USD 135,000 - 237,000; Full time

Job summary

Vizient seeks a Senior Director of Data and Analytics to lead data management, analytics, reporting, and automation for the Indirect Spend Management business. You will own the strategy, operating model, and governance of data assets, ensuring reliable and scalable insights for client engagements.

You will lead data and analytics teams, establish quality standards, implement AI and automation, and partner with consulting and technology teams to deliver actionable insights and reusable assets

Qualifications

• Leads data and analytics capabilities across teams and functions.
• Designs automated analytics, reporting, and dashboards for decisions.
• Applies AI, ML, or intelligent automation to business processes.

Responsibilities

• Establishes and executes the data and analytics strategy for the Indirect Spend business.
• Owns the data lifecycle: acquisition, integration, storage, normalization, and delivery.
• Oversees data governance, quality, lineage, and issue resolution.
• Develops analytical frameworks, recurring reports, dashboards, and KPIs.
• Leads teams, ensures scalable, accurate outputs for client engagements.
• Partners with technology and product teams to meet business needs.

Skills

Leadership

Strategic data vision

Data governance

Data management

Communication

Healthcare industry knowledge

Education

Bachelor’s degree in data analytics, computer science, information systems, business, statistics, engineering, healthcare administration, or a related field

Tools

Power BI

SQL

Database management

Data modeling

AI/Automation tools

Job description

Vizient seeks a Senior Director of Data and Analytics to lead data management, analytics, reporting, and automation for the Indirect Spend Management business. You will own the strategy, operating model, and governance of data assets, ensuring reliable and scalable insights for client engagements.

You will lead data and analytics teams, establish quality standards, implement AI and automation, and partner with consulting and technology teams to deliver actionable insights and reusable assets