Senior Director, Indirect Spend

Vizient•Chicago, IL

3d•$135,200 - $236,600

About The Position

The Senior Director, Indirect Spend leads data management, analytics, reporting, and automation capabilities supporting Vizient’s Indirect Spend Management business. This role owns the strategy and operating model for acquiring, structuring, governing, categorizing, normalizing, analyzing, and translating data into actionable insights. It ensures data and analytics processes are reliable, scalable, and aligned with the needs of the consulting organization and Vizient’s healthcare members. The Senior Director leads data and analytics teams, establishes data governance and quality standards, and advances responsible use of automation and artificial intelligence. The role establishes and executes the Indirect Spend data and analytics strategy; oversees data lifecycle, databases, data models, and foundational analytical processes; and develops standardized methodologies, reports, dashboards, performance measures, and decision-support tools. It evaluates opportunities to apply AI, machine learning, generative AI, and intelligent automation, and creates a scalable operating model for analytical requests, reporting, production support, enhancements, and strategic initiatives. The Senior Director partners with consulting, technology, and product teams to ensure analytical outputs are useful in client engagements and to support effective data capabilities. The role also develops reusable data assets and analytical intellectual capital, and supports business development, proposals, member presentations, and marketing activities.

Requirements

Bachelor’s degree in data analytics, computer science, information systems, business, statistics, engineering, healthcare administration, or a related field.
Experience leading data and analytics capabilities across multiple teams, business functions, or service offerings.
Demonstrated expertise in database management, data structures, data modeling, data integration, data governance, and data quality management.
Experience designing and implementing automated analytics, reporting, dashboards, or decision-support tools.
Practical experience applying artificial intelligence, machine learning, generative AI, or intelligent automation to business processes.
Experience managing, developing, and scaling teams of data, analytics, or technology professionals.
Strong understanding of SQL, business intelligence platforms, data visualization, and analytical workflow design.
Ability to translate business needs into data and analytics requirements and complex technical concepts into clear business recommendations.

Nice To Haves

Power BI experience preferred.
Experience in healthcare, health systems, healthcare technology, supply chain, procurement, finance, benchmarking, or consulting preferred.

Responsibilities

Establish and execute the data and analytics strategy for the Indirect Spend business.
Own the data lifecycle, including acquisition, integration, structuring, storage, transformation, categorization, normalization, validation, analysis, and delivery.
Provide strategic oversight of databases, data models, data structures, source-system relationships, data definitions, and analytical datasets.
Establish and enforce standards for data governance, quality, ownership, documentation, lineage, completeness, accuracy, and issue resolution.
Oversee spend categorization, supplier normalization, benchmarking methodologies, data hierarchies, and other foundational processes.
Develop and standardize analytical methodologies, recurring reports, dashboards, performance measures, and decision-support tools.
Determine which processes should be automated, standardized, enhanced with artificial intelligence, or maintained as human-led activities.
Evaluate and apply AI, machine learning, generative AI, and intelligent automation to improve data management, reporting, opportunity identification, insight generation, and workflow efficiency.
Establish a scalable operating model for analytical requests, recurring reporting, production support, enhancements, and strategic initiatives.
Partner with consulting leaders to ensure data and analytical outputs are accurate, relevant, actionable, and easy to apply in client engagements.
Develop reusable data assets, analytical frameworks, methodologies, tools, and intellectual capital to improve consulting delivery.
Partner with technology and product teams to communicate business needs and support effective data and analytics capabilities.
Support business development, proposals, member presentations, and marketing activities by demonstrating the value of Vizient’s data and analytics capabilities.
Lead and develop data and analytics teams.