Senior Director, Indirect

Position: Senior Director, Indirect Spend
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Summary:

In this role you will lead the data management, analytics, reporting, and automation capabilities supporting Vizient’s Indirect Spend Management business. This individual will own the strategy and operating model for how data is acquired, structured, governed, categorized, normalized, analyzed, and translated into actionable insights. The role will ensure that data and analytics processes are reliable, scalable, and aligned with the needs of the consulting organization and Vizient’s healthcare members.

The Senior Director will lead data and analytics teams, establish strong data governance and quality standards, and advance the responsible use of automation and artificial intelligence.

Responsibilities:

Establishes and executes the data and analytics strategy for the Indirect Spend business.

Owns the data lifecycle, including data acquisition, integration, structure, storage, transformation, categorization, normalization, validation, analysis, and delivery.

Provides strategic oversight of databases, data models, data structures, source-system relationships, data definitions, and analytical datasets.

Establishes and enforces standards for data governance, quality, ownership, documentation, lineage, completeness, accuracy, and issue resolution.

Oversees spend categorization, supplier normalization, benchmarking methodologies, data hierarchies, and other foundational processes supporting meaningful analysis.

Develops and standardizes analytical methodologies, recurring reports, dashboards, performance measures, and decision-support tools.

Determines which processes should be automated, standardized, enhanced with artificial intelligence, or maintained as human-led activities.

Evaluates and applies AI, machine learning, generative AI, and intelligent automation to improve data management, reporting, opportunity identification, insight generation, and workflow efficiency.

Establishes a scalable operating model for managing analytical requests, recurring reporting, production support, enhancements, and strategic initiatives.

Partners with consulting leaders to ensure that data and analytical outputs are accurate, relevant, actionable, and easy to apply in client engagements.

Develops reusable data assets, analytical frameworks, methodologies, tools, and intellectual capital that improve consulting delivery.

Partners with technology and product teams, as appropriate, to communicate business needs and support effective data and analytics capabilities.

Supports business development, proposals, member presentations, and marketing activities by demonstrating the value of Vizient’s data and analytics capabilities.

Qualifications 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…